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<div id="projectname">ViennaCL - The Vienna Computing Library
 <span id="projectnumber">1.7.1</span>
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<div id="projectbrief">Free open-source GPU-accelerated linear algebra and solver library.</div>
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<div class="textblock">Here are the classes, structs, unions and interfaces with brief descriptions:</div><div class="directory">
<div class="levels">[detail level <span onclick="javascript:toggleLevel(1);">1</span><span onclick="javascript:toggleLevel(2);">2</span><span onclick="javascript:toggleLevel(3);">3</span><span onclick="javascript:toggleLevel(4);">4</span><span onclick="javascript:toggleLevel(5);">5</span><span onclick="javascript:toggleLevel(6);">6</span><span onclick="javascript:toggleLevel(7);">7</span>]</div><table class="directory">
<tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_0_" class="arrow" onclick="toggleFolder('0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl.html" target="_self">viennacl</a></td><td class="desc">Main namespace in ViennaCL. Holds all the basic types such as vector, matrix, etc. and defines operations upon them </td></tr>
<tr id="row_0_0_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_0_" class="arrow" onclick="toggleFolder('0_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1backend.html" target="_self">backend</a></td><td class="desc">Namespace providing routines for handling the different memory domains </td></tr>
<tr id="row_0_0_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_0_0_" class="arrow" onclick="toggleFolder('0_0_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1backend_1_1cpu__ram.html" target="_self">cpu_ram</a></td><td class="desc">Provides implementations for handling memory buffers in CPU RAM </td></tr>
<tr id="row_0_0_0_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_0_0_0_0_" class="arrow" onclick="toggleFolder('0_0_0_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1backend_1_1cpu__ram_1_1detail.html" target="_self">detail</a></td><td class="desc">Holds implementation details for handling memory buffers in CPU RAM. Not intended for direct use by library users </td></tr>
<tr id="row_0_0_0_0_0_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1backend_1_1cpu__ram_1_1detail_1_1array__deleter.html" target="_self">array_deleter</a></td><td class="desc">Helper struct for deleting an pointer to an array </td></tr>
<tr id="row_0_0_1_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_0_1_" class="arrow" onclick="toggleFolder('0_0_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1backend_1_1cuda.html" target="_self">cuda</a></td><td class="desc">Provides implementations for handling CUDA memory buffers </td></tr>
<tr id="row_0_0_1_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_0_0_1_0_" class="arrow" onclick="toggleFolder('0_0_1_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1backend_1_1cuda_1_1detail.html" target="_self">detail</a></td><td class="desc">Holds implementation details for handling CUDA memory buffers. Not intended for direct use by library users </td></tr>
<tr id="row_0_0_1_0_0_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1backend_1_1cuda_1_1detail_1_1cuda__deleter.html" target="_self">cuda_deleter</a></td><td class="desc">Functor for deleting a CUDA handle. Used within the smart pointer class </td></tr>
<tr id="row_0_0_1_1_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1backend_1_1cuda_1_1cuda__exception.html" target="_self">cuda_exception</a></td><td class="desc"></td></tr>
<tr id="row_0_0_2_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_0_2_" class="arrow" onclick="toggleFolder('0_0_2_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1backend_1_1detail.html" target="_self">detail</a></td><td class="desc">Implementation details for the generic memory backend interface </td></tr>
<tr id="row_0_0_2_0_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1backend_1_1detail_1_1convert__to__opencl.html" target="_self">convert_to_opencl</a></td><td class="desc">Helper struct for converting a type to its OpenCL pendant </td></tr>
<tr id="row_0_0_3_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_0_3_" class="arrow" onclick="toggleFolder('0_0_3_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1backend_1_1opencl.html" target="_self">opencl</a></td><td class="desc">Provides implementations for handling OpenCL memory buffers </td></tr>
<tr id="row_0_0_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1backend_1_1mem__handle.html" target="_self">mem_handle</a></td><td class="desc">Main abstraction class for multiple memory domains. Represents a buffer in either main RAM, an OpenCL context, or a CUDA device </td></tr>
<tr id="row_0_0_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1backend_1_1typesafe__host__array.html" target="_self">typesafe_host_array</a></td><td class="desc">Helper class implementing an array on the host. Default case: No conversion necessary </td></tr>
<tr id="row_0_0_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1backend_1_1typesafe__host__array_3_01_t_00_01true_01_4.html" target="_self">typesafe_host_array< T, true ></a></td><td class="desc">Special host array type for conversion between OpenCL types and pure CPU types </td></tr>
<tr id="row_0_1_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_1_" class="arrow" onclick="toggleFolder('0_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1detail.html" target="_self">detail</a></td><td class="desc">Holds implementation details for functionality in the main viennacl-namespace. Not intended for direct use by library users </td></tr>
<tr id="row_0_1_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_1_0_" class="arrow" onclick="toggleFolder('0_1_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1detail_1_1fft.html" target="_self">fft</a></td><td class="desc">Helper namespace for fast Fourier transforms. Not to be used directly by library users </td></tr>
<tr id="row_0_2_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_2_" class="arrow" onclick="toggleFolder('0_2_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific.html" target="_self">device_specific</a></td><td class="desc">Provides an OpenCL kernel generator </td></tr>
<tr id="row_0_2_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_2_0_" class="arrow" onclick="toggleFolder('0_2_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database.html" target="_self">builtin_database</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_0_2_0_0_" class="arrow" onclick="toggleFolder('0_2_0_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices.html" target="_self">devices</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_0_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span id="arr_0_2_0_0_0_" class="arrow" onclick="toggleFolder('0_2_0_0_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1accelerator.html" target="_self">accelerator</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_1_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span id="arr_0_2_0_0_1_" class="arrow" onclick="toggleFolder('0_2_0_0_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1cpu.html" target="_self">cpu</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_2_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span id="arr_0_2_0_0_2_" class="arrow" onclick="toggleFolder('0_2_0_0_2_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1gpu.html" target="_self">gpu</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_2_0_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span id="arr_0_2_0_0_2_0_" class="arrow" onclick="toggleFolder('0_2_0_0_2_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1gpu_1_1amd.html" target="_self">amd</a></td><td class="desc"></td></tr>
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<tr id="row_0_2_0_0_2_0_1_" style="display:none;"><td class="entry"><span style="width:96px;display:inline-block;"> </span><span id="arr_0_2_0_0_2_0_1_" class="arrow" onclick="toggleFolder('0_2_0_0_2_0_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1gpu_1_1amd_1_1northern__islands.html" target="_self">northern_islands</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_2_0_2_" style="display:none;"><td class="entry"><span style="width:96px;display:inline-block;"> </span><span id="arr_0_2_0_0_2_0_2_" class="arrow" onclick="toggleFolder('0_2_0_0_2_0_2_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1gpu_1_1amd_1_1southern__islands.html" target="_self">southern_islands</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_2_0_3_" style="display:none;"><td class="entry"><span style="width:96px;display:inline-block;"> </span><span id="arr_0_2_0_0_2_0_3_" class="arrow" onclick="toggleFolder('0_2_0_0_2_0_3_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1gpu_1_1amd_1_1volcanic__islands.html" target="_self">volcanic_islands</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_2_1_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span id="arr_0_2_0_0_2_1_" class="arrow" onclick="toggleFolder('0_2_0_0_2_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1gpu_1_1nvidia.html" target="_self">nvidia</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_2_1_0_" style="display:none;"><td class="entry"><span style="width:96px;display:inline-block;"> </span><span id="arr_0_2_0_0_2_1_0_" class="arrow" onclick="toggleFolder('0_2_0_0_2_1_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1gpu_1_1nvidia_1_1fermi.html" target="_self">fermi</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_2_1_1_" style="display:none;"><td class="entry"><span style="width:96px;display:inline-block;"> </span><span id="arr_0_2_0_0_2_1_1_" class="arrow" onclick="toggleFolder('0_2_0_0_2_1_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1gpu_1_1nvidia_1_1kepler.html" target="_self">kepler</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_2_1_2_" style="display:none;"><td class="entry"><span style="width:96px;display:inline-block;"> </span><span id="arr_0_2_0_0_2_1_2_" class="arrow" onclick="toggleFolder('0_2_0_0_2_1_2_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1gpu_1_1nvidia_1_1maxwell.html" target="_self">maxwell</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_0_2_1_3_" style="display:none;"><td class="entry"><span style="width:96px;display:inline-block;"> </span><span id="arr_0_2_0_0_2_1_3_" class="arrow" onclick="toggleFolder('0_2_0_0_2_1_3_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1builtin__database_1_1devices_1_1gpu_1_1nvidia_1_1tesla.html" target="_self">tesla</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_0_2_0_1_" class="arrow" onclick="toggleFolder('0_2_0_1_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1builtin__database_1_1database__type.html" target="_self">database_type</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_1_0_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1builtin__database_1_1database__type_1_1device__architecture__t.html" target="_self">device_architecture_t</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_1_1_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1builtin__database_1_1database__type_1_1device__name__t.html" target="_self">device_name_t</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_1_2_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1builtin__database_1_1database__type_1_1device__type__t.html" target="_self">device_type_t</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_1_3_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1builtin__database_1_1database__type_1_1expression__t.html" target="_self">expression_t</a></td><td class="desc"></td></tr>
<tr id="row_0_2_0_1_4_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1builtin__database_1_1database__type_1_1type.html" target="_self">type</a></td><td class="desc"></td></tr>
<tr id="row_0_2_1_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_2_1_" class="arrow" onclick="toggleFolder('0_2_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1tree__parsing.html" target="_self">tree_parsing</a></td><td class="desc"></td></tr>
<tr id="row_0_2_1_0_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1evaluate__expression__traversal.html" target="_self">evaluate_expression_traversal</a></td><td class="desc">Functor for generating the expression string from a statement </td></tr>
<tr id="row_0_2_1_1_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1filter.html" target="_self">filter</a></td><td class="desc"></td></tr>
<tr id="row_0_2_1_2_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1filter__elements.html" target="_self">filter_elements</a></td><td class="desc"></td></tr>
<tr id="row_0_2_1_3_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1process__traversal.html" target="_self">process_traversal</a></td><td class="desc">Functor for fetching or writing-back the elements in a statement </td></tr>
<tr id="row_0_2_1_4_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1statement__representation__functor.html" target="_self">statement_representation_functor</a></td><td class="desc"></td></tr>
<tr id="row_0_2_1_5_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1traversal__functor.html" target="_self">traversal_functor</a></td><td class="desc">Base functor class for traversing a statement </td></tr>
<tr id="row_0_2_2_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_2_2_" class="arrow" onclick="toggleFolder('0_2_2_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1device__specific_1_1utils.html" target="_self">utils</a></td><td class="desc">Contains various helper routines for kernel generation </td></tr>
<tr id="row_0_2_2_0_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type.html" target="_self">first_letter_of_type</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_1_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type_3_01char_01_4.html" target="_self">first_letter_of_type< char ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_2_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type_3_01double_01_4.html" target="_self">first_letter_of_type< double ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_3_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type_3_01float_01_4.html" target="_self">first_letter_of_type< float ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_4_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type_3_01int_01_4.html" target="_self">first_letter_of_type< int ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_5_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type_3_01long_01_4.html" target="_self">first_letter_of_type< long ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_6_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type_3_01short_01_4.html" target="_self">first_letter_of_type< short ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_7_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type_3_01unsigned_01char_01_4.html" target="_self">first_letter_of_type< unsigned char ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_8_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type_3_01unsigned_01int_01_4.html" target="_self">first_letter_of_type< unsigned int ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_9_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type_3_01unsigned_01long_01_4.html" target="_self">first_letter_of_type< unsigned long ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_10_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1first__letter__of__type_3_01unsigned_01short_01_4.html" target="_self">first_letter_of_type< unsigned short ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_11_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1handle__fun.html" target="_self">handle_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_12_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1internal__size1__fun.html" target="_self">internal_size1_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_13_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1internal__size2__fun.html" target="_self">internal_size2_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_14_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1internal__size__fun.html" target="_self">internal_size_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_15_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1is__same__type.html" target="_self">is_same_type</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_16_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1is__same__type_3_01_t_00_01_t_01_4.html" target="_self">is_same_type< T, T ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_17_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1utils_1_1kernel__generation__stream.html" target="_self">kernel_generation_stream</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_18_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1leading__start.html" target="_self">leading_start</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_19_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1leading__stride.html" target="_self">leading_stride</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_20_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1row__major__fun.html" target="_self">row_major_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_21_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1scalartype__size__fun.html" target="_self">scalartype_size_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_22_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1size1__fun.html" target="_self">size1_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_23_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1size2__fun.html" target="_self">size2_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_24_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1size__fun.html" target="_self">size_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_25_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1start1__fun.html" target="_self">start1_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_26_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1start2__fun.html" target="_self">start2_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_27_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1stride1__fun.html" target="_self">stride1_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_28_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1stride2__fun.html" target="_self">stride2_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_29_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1stride__fun.html" target="_self">stride_fun</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_30_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string.html" target="_self">type_to_string</a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_31_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string_3_01char_01_4.html" target="_self">type_to_string< char ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_32_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string_3_01double_01_4.html" target="_self">type_to_string< double ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_33_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string_3_01float_01_4.html" target="_self">type_to_string< float ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_34_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string_3_01int_01_4.html" target="_self">type_to_string< int ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_35_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string_3_01long_01_4.html" target="_self">type_to_string< long ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_36_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string_3_01short_01_4.html" target="_self">type_to_string< short ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_37_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string_3_01unsigned_01char_01_4.html" target="_self">type_to_string< unsigned char ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_38_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string_3_01unsigned_01int_01_4.html" target="_self">type_to_string< unsigned int ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_39_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string_3_01unsigned_01long_01_4.html" target="_self">type_to_string< unsigned long ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_2_40_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1type__to__string_3_01unsigned_01short_01_4.html" target="_self">type_to_string< unsigned short ></a></td><td class="desc"></td></tr>
<tr id="row_0_2_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1binary__leaf.html" target="_self">binary_leaf</a></td><td class="desc">Binary leaf interface </td></tr>
<tr id="row_0_2_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1bind__all__unique.html" target="_self">bind_all_unique</a></td><td class="desc"></td></tr>
<tr id="row_0_2_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1bind__to__handle.html" target="_self">bind_to_handle</a></td><td class="desc"></td></tr>
<tr id="row_0_2_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1char__to__type.html" target="_self">char_to_type</a></td><td class="desc"></td></tr>
<tr id="row_0_2_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1execution__handler.html" target="_self">execution_handler</a></td><td class="desc"></td></tr>
<tr id="row_0_2_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1generator__not__supported__exception.html" target="_self">generator_not_supported_exception</a></td><td class="desc">Exception for the case the generator is unable to deal with the operation </td></tr>
<tr id="row_0_2_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1index__tuple.html" target="_self">index_tuple</a></td><td class="desc"></td></tr>
<tr id="row_0_2_10_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1lazy__program__compiler.html" target="_self">lazy_program_compiler</a></td><td class="desc"></td></tr>
<tr id="row_0_2_11_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__buffer.html" target="_self">mapped_buffer</a></td><td class="desc">Buffered </td></tr>
<tr id="row_0_2_12_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__handle.html" target="_self">mapped_handle</a></td><td class="desc">Handle </td></tr>
<tr id="row_0_2_13_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__host__scalar.html" target="_self">mapped_host_scalar</a></td><td class="desc">Host scalar </td></tr>
<tr id="row_0_2_14_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__implicit__matrix.html" target="_self">mapped_implicit_matrix</a></td><td class="desc">Implicit matrix </td></tr>
<tr id="row_0_2_15_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__implicit__vector.html" target="_self">mapped_implicit_vector</a></td><td class="desc">Implicit vector </td></tr>
<tr id="row_0_2_16_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__matrix.html" target="_self">mapped_matrix</a></td><td class="desc">Matrix </td></tr>
<tr id="row_0_2_17_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__matrix__column.html" target="_self">mapped_matrix_column</a></td><td class="desc">Matrix column </td></tr>
<tr id="row_0_2_18_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__matrix__diag.html" target="_self">mapped_matrix_diag</a></td><td class="desc">Matrix diag </td></tr>
<tr id="row_0_2_19_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__matrix__product.html" target="_self">mapped_matrix_product</a></td><td class="desc">Matrix product </td></tr>
<tr id="row_0_2_20_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__matrix__row.html" target="_self">mapped_matrix_row</a></td><td class="desc">Matrix row </td></tr>
<tr id="row_0_2_21_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_2_21_" class="arrow" onclick="toggleFolder('0_2_21_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__object.html" target="_self">mapped_object</a></td><td class="desc">Mapped Object </td></tr>
<tr id="row_0_2_21_0_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1mapped__object_1_1_morph_base.html" target="_self">MorphBase</a></td><td class="desc"></td></tr>
<tr id="row_0_2_21_1_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1mapped__object_1_1_morph_base1_d.html" target="_self">MorphBase1D</a></td><td class="desc"></td></tr>
<tr id="row_0_2_21_2_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1mapped__object_1_1_morph_base2_d.html" target="_self">MorphBase2D</a></td><td class="desc"></td></tr>
<tr id="row_0_2_21_3_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1mapped__object_1_1node__info.html" target="_self">node_info</a></td><td class="desc"></td></tr>
<tr id="row_0_2_22_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__reduction.html" target="_self">mapped_reduction</a></td><td class="desc">Reduction </td></tr>
<tr id="row_0_2_23_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__row__wise__reduction.html" target="_self">mapped_row_wise_reduction</a></td><td class="desc">Vector reduction </td></tr>
<tr id="row_0_2_24_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__scalar.html" target="_self">mapped_scalar</a></td><td class="desc">Scalar </td></tr>
<tr id="row_0_2_25_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__scalar__reduction.html" target="_self">mapped_scalar_reduction</a></td><td class="desc">Scalar reduction </td></tr>
<tr id="row_0_2_26_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__trans.html" target="_self">mapped_trans</a></td><td class="desc">Trans </td></tr>
<tr id="row_0_2_27_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__vector.html" target="_self">mapped_vector</a></td><td class="desc">Vector </td></tr>
<tr id="row_0_2_28_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1mapped__vector__diag.html" target="_self">mapped_vector_diag</a></td><td class="desc">Vector diag </td></tr>
<tr id="row_0_2_29_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1matrix__product__parameters.html" target="_self">matrix_product_parameters</a></td><td class="desc"></td></tr>
<tr id="row_0_2_30_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1matrix__product__template.html" target="_self">matrix_product_template</a></td><td class="desc"></td></tr>
<tr id="row_0_2_31_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1statements__container.html" target="_self">statements_container</a></td><td class="desc"></td></tr>
<tr id="row_0_2_32_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1symbolic__binder.html" target="_self">symbolic_binder</a></td><td class="desc"></td></tr>
<tr id="row_0_2_33_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_2_33_" class="arrow" onclick="toggleFolder('0_2_33_')">►</span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1template__base.html" target="_self">template_base</a></td><td class="desc"></td></tr>
<tr id="row_0_2_33_0_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1template__base_1_1invalid__template__exception.html" target="_self">invalid_template_exception</a></td><td class="desc"></td></tr>
<tr id="row_0_2_33_1_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1template__base_1_1loop__body__base.html" target="_self">loop_body_base</a></td><td class="desc"></td></tr>
<tr id="row_0_2_33_2_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1device__specific_1_1template__base_1_1parameters__type.html" target="_self">parameters_type</a></td><td class="desc"></td></tr>
<tr id="row_0_2_34_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1device__specific_1_1template__base__impl.html" target="_self">template_base_impl</a></td><td class="desc"></td></tr>
<tr id="row_0_3_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_3_" class="arrow" onclick="toggleFolder('0_3_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1io.html" target="_self">io</a></td><td class="desc">Provides basic input-output functionality </td></tr>
<tr id="row_0_4_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_4_" class="arrow" onclick="toggleFolder('0_4_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg.html" target="_self">linalg</a></td><td class="desc">Provides all linear algebra operations which are not covered by operator overloads </td></tr>
<tr id="row_0_4_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_4_0_" class="arrow" onclick="toggleFolder('0_4_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html" target="_self">cuda</a></td><td class="desc">Holds all CUDA compute kernels used by ViennaCL </td></tr>
<tr id="row_0_4_0_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_0_4_0_0_" class="arrow" onclick="toggleFolder('0_4_0_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda_1_1detail.html" target="_self">detail</a></td><td class="desc">Helper functions for the CUDA linear algebra backend </td></tr>
<tr id="row_0_4_0_0_0_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1cuda_1_1detail_1_1spmv__alpha__beta.html" target="_self">spmv_alpha_beta</a></td><td class="desc"></td></tr>
<tr id="row_0_4_0_0_1_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1cuda_1_1detail_1_1spmv__pure.html" target="_self">spmv_pure</a></td><td class="desc"></td></tr>
<tr id="row_0_4_0_0_2_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1cuda_1_1detail_1_1type__to__type2.html" target="_self">type_to_type2</a></td><td class="desc"></td></tr>
<tr id="row_0_4_0_0_3_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1cuda_1_1detail_1_1type__to__type2_3_01double_01_4.html" target="_self">type_to_type2< double ></a></td><td class="desc"></td></tr>
<tr id="row_0_4_0_0_4_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1cuda_1_1detail_1_1type__to__type2_3_01float_01_4.html" target="_self">type_to_type2< float ></a></td><td class="desc"></td></tr>
<tr id="row_0_4_0_1_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1cuda_1_1mat__mult__matrix__index.html" target="_self">mat_mult_matrix_index</a></td><td class="desc">Helper struct for accessing an element of a row- or column-major matrix </td></tr>
<tr id="row_0_4_1_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_4_1_" class="arrow" onclick="toggleFolder('0_4_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1detail.html" target="_self">detail</a></td><td class="desc">Namespace holding implementation details for linear algebra routines. Usually not of interest for a library user </td></tr>
<tr id="row_0_4_1_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_0_4_1_0_" class="arrow" onclick="toggleFolder('0_4_1_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1detail_1_1amg.html" target="_self">amg</a></td><td class="desc">Implementation namespace for algebraic multigrid preconditioner </td></tr>
<tr id="row_0_4_1_0_0_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html" target="_self">amg_level_context</a></td><td class="desc"></td></tr>
<tr id="row_0_4_1_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_0_4_1_1_" class="arrow" onclick="toggleFolder('0_4_1_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1detail_1_1spai.html" target="_self">spai</a></td><td class="desc">Implementation namespace for sparse approximate inverse preconditioner </td></tr>
<tr id="row_0_4_1_1_0_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1detail_1_1spai_1_1block__matrix.html" target="_self">block_matrix</a></td><td class="desc">Represents contigious matrices on GPU </td></tr>
<tr id="row_0_4_1_1_1_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1detail_1_1spai_1_1block__vector.html" target="_self">block_vector</a></td><td class="desc">Represents a contiguous vector on the GPU to represent a concatentation of small vectors </td></tr>
<tr id="row_0_4_1_1_2_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1detail_1_1spai_1_1_compare_second.html" target="_self">CompareSecond</a></td><td class="desc">Helper functor for comparing std::pair<> based on the second member </td></tr>
<tr id="row_0_4_1_1_3_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1detail_1_1spai_1_1fspai__tag.html" target="_self">fspai_tag</a></td><td class="desc">A tag for FSPAI. Experimental </td></tr>
<tr id="row_0_4_1_1_4_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1detail_1_1spai_1_1spai__tag.html" target="_self">spai_tag</a></td><td class="desc">A tag for SPAI </td></tr>
<tr id="row_0_4_1_1_5_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1detail_1_1spai_1_1sparse__vector.html" target="_self">sparse_vector</a></td><td class="desc">Represents a sparse vector based on std::map<unsigned int, NumericT> </td></tr>
<tr id="row_0_4_1_2_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1detail_1_1_fast_matrix.html" target="_self">FastMatrix</a></td><td class="desc">Internal helper class representing a row-major dense matrix used for the QR method for the purpose of computing eigenvalues </td></tr>
<tr id="row_0_4_1_3_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html" target="_self">ilu_vector_range</a></td><td class="desc">Helper range class for representing a subvector of a larger buffer </td></tr>
<tr id="row_0_4_1_4_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1detail_1_1ilut__sparse__vector.html" target="_self">ilut_sparse_vector</a></td><td class="desc">Helper struct for holding a sparse vector in linear memory. For internal use only </td></tr>
<tr id="row_0_4_1_5_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html" target="_self">InputData</a></td><td class="desc">In this class the input matrix is stored </td></tr>
<tr id="row_0_4_1_6_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1detail_1_1op__applier.html" target="_self">op_applier</a></td><td class="desc">Worker class for decomposing expression templates </td></tr>
<tr id="row_0_4_1_7_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1detail_1_1op__executor.html" target="_self">op_executor</a></td><td class="desc">Worker class for decomposing expression templates </td></tr>
<tr id="row_0_4_1_8_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html" target="_self">ResultDataLarge</a></td><td class="desc">In this class the data of the result for large matrices is stored </td></tr>
<tr id="row_0_4_1_9_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html" target="_self">ResultDataSmall</a></td><td class="desc">In this class the data of the result for small matrices is stored </td></tr>
<tr id="row_0_4_1_10_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1detail_1_1z__handler.html" target="_self">z_handler</a></td><td class="desc">Handles the <a class="el" href="classviennacl_1_1linalg_1_1no__precond.html" title="A tag class representing the use of no preconditioner. ">no_precond</a> case at minimal overhead </td></tr>
<tr id="row_0_4_1_11_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1detail_1_1z__handler_3_01_vector_t_00_01viennacl_1_1linalg_1_1no__precond_01_4.html" target="_self">z_handler< VectorT, viennacl::linalg::no_precond ></a></td><td class="desc"></td></tr>
<tr id="row_0_4_2_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_4_2_" class="arrow" onclick="toggleFolder('0_4_2_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1host__based.html" target="_self">host_based</a></td><td class="desc">Holds all compute kernels with conventional host-based execution (buffers in CPU RAM) </td></tr>
<tr id="row_0_4_2_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_0_4_2_0_" class="arrow" onclick="toggleFolder('0_4_2_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1host__based_1_1amg.html" target="_self">amg</a></td><td class="desc"></td></tr>
<tr id="row_0_4_2_0_0_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1host__based_1_1amg_1_1amg__id__influence.html" target="_self">amg_id_influence</a></td><td class="desc">Helper struct for sequential classical one-pass coarsening </td></tr>
<tr id="row_0_4_2_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_0_4_2_1_" class="arrow" onclick="toggleFolder('0_4_2_1_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail.html" target="_self">detail</a></td><td class="desc">Helper functions for the host-based linear algebra backend </td></tr>
<tr id="row_0_4_2_1_0_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span id="arr_0_4_2_1_0_" class="arrow" onclick="toggleFolder('0_4_2_1_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft.html" target="_self">fft</a></td><td class="desc"></td></tr>
<tr id="row_0_4_2_1_1_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1host__based_1_1detail_1_1matrix__array__wrapper.html" target="_self">matrix_array_wrapper</a></td><td class="desc">Helper array for accessing a strided submatrix embedded in a larger matrix </td></tr>
<tr id="row_0_4_2_1_2_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1host__based_1_1detail_1_1vector__array__wrapper.html" target="_self">vector_array_wrapper</a></td><td class="desc">Helper class for accessing a strided subvector of a larger vector </td></tr>
<tr id="row_0_4_2_2_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1host__based_1_1spgemm__output__write__disabled.html" target="_self">spgemm_output_write_disabled</a></td><td class="desc"></td></tr>
<tr id="row_0_4_2_3_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1host__based_1_1spgemm__output__write__enabled.html" target="_self">spgemm_output_write_enabled</a></td><td class="desc"></td></tr>
<tr id="row_0_4_3_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_4_3_" class="arrow" onclick="toggleFolder('0_4_3_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1opencl.html" target="_self">opencl</a></td><td class="desc">Holds all routines providing OpenCL linear algebra operations </td></tr>
<tr id="row_0_4_3_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_0_4_3_0_" class="arrow" onclick="toggleFolder('0_4_3_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1linalg_1_1opencl_1_1kernels.html" target="_self">kernels</a></td><td class="desc">Contains the OpenCL kernel generation functions for a predefined set of functionality </td></tr>
<tr id="row_0_4_3_0_0_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ambm__config.html" target="_self">ambm_config</a></td><td class="desc">Configuration struct for generating OpenCL kernels for linear combinations of matrices </td></tr>
<tr id="row_0_4_3_0_1_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1amg.html" target="_self">amg</a></td><td class="desc">Main kernel class for generating OpenCL kernels for <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html" title="Main kernel class for generating OpenCL kernels for compressed_matrix (except solvers). ">compressed_matrix</a> </td></tr>
<tr id="row_0_4_3_0_2_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1asbs__config.html" target="_self">asbs_config</a></td><td class="desc">Configuration struct for generating OpenCL kernels for linear combinations of viennacl::scalar<> objects </td></tr>
<tr id="row_0_4_3_0_3_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1avbv__config.html" target="_self">avbv_config</a></td><td class="desc">Configuration struct for generating OpenCL kernels for linear combinations of vectors </td></tr>
<tr id="row_0_4_3_0_4_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1bisect__kernel.html" target="_self">bisect_kernel</a></td><td class="desc">Main kernel class for the generation of the bisection kernels and utilities </td></tr>
<tr id="row_0_4_3_0_5_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__compressed__matrix.html" target="_self">compressed_compressed_matrix</a></td><td class="desc">Main kernel class for generating OpenCL kernels for <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__compressed__matrix.html" title="Main kernel class for generating OpenCL kernels for compressed_compressed_matrix. ...">compressed_compressed_matrix</a> </td></tr>
<tr id="row_0_4_3_0_6_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html" target="_self">compressed_matrix</a></td><td class="desc">Main kernel class for generating OpenCL kernels for <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html" title="Main kernel class for generating OpenCL kernels for compressed_matrix (except solvers). ">compressed_matrix</a> (except solvers) </td></tr>
<tr id="row_0_4_3_0_7_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html" target="_self">compressed_matrix_solve</a></td><td class="desc">Main kernel class for triangular solver OpenCL kernels for <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html" title="Main kernel class for generating OpenCL kernels for compressed_matrix (except solvers). ">compressed_matrix</a> </td></tr>
<tr id="row_0_4_3_0_8_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html" target="_self">coordinate_matrix</a></td><td class="desc">Main kernel class for generating OpenCL kernels for <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html" title="Main kernel class for generating OpenCL kernels for coordinate_matrix. ">coordinate_matrix</a> </td></tr>
<tr id="row_0_4_3_0_9_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html" target="_self">ell_matrix</a></td><td class="desc">Main kernel class for generating OpenCL kernels for <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html" title="Main kernel class for generating OpenCL kernels for ell_matrix. ">ell_matrix</a> </td></tr>
<tr id="row_0_4_3_0_10_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html" target="_self">fft</a></td><td class="desc">Main kernel class for generating OpenCL kernels for the fast Fourier transform </td></tr>
<tr id="row_0_4_3_0_11_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html" target="_self">hyb_matrix</a></td><td class="desc">Main kernel class for generating OpenCL kernels for <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html" title="Main kernel class for generating OpenCL kernels for hyb_matrix. ">hyb_matrix</a> </td></tr>
<tr id="row_0_4_3_0_12_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html" target="_self">ilu</a></td><td class="desc">Main kernel class for generating OpenCL kernels for incomplete LU factorization preconditioners </td></tr>
<tr id="row_0_4_3_0_13_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1iterative.html" target="_self">iterative</a></td><td class="desc">Main kernel class for generating specialized OpenCL kernels for fast iterative solvers </td></tr>
<tr id="row_0_4_3_0_14_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix.html" target="_self">matrix</a></td><td class="desc">Main kernel class for generating OpenCL kernels for operations on/with dense matrix objects of type viennacl::matrix<> </td></tr>
<tr id="row_0_4_3_0_15_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__convert.html" target="_self">matrix_convert</a></td><td class="desc">Main kernel class for vector conversion routines (e.g. convert vector<int> to vector<float>) </td></tr>
<tr id="row_0_4_3_0_16_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__element.html" target="_self">matrix_element</a></td><td class="desc">Main kernel class for generating OpenCL kernels for elementwise-operations such as element_sin() on/with dense matrix objects of type viennacl::matrix<> </td></tr>
<tr id="row_0_4_3_0_17_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html" target="_self">matrix_legacy</a></td><td class="desc">Main kernel class for generating OpenCL kernels for operations on/with dense matrix objects of type viennacl::matrix<> </td></tr>
<tr id="row_0_4_3_0_18_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__prod.html" target="_self">matrix_prod</a></td><td class="desc">Main kernel class for generating OpenCL kernels for operations on/with viennacl::vector<> without involving matrices, multiple inner products, or element-wise operations other than addition or subtraction </td></tr>
<tr id="row_0_4_3_0_19_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__solve.html" target="_self">matrix_solve</a></td><td class="desc">Main kernel class for the generation of matrix solve kernels </td></tr>
<tr id="row_0_4_3_0_20_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1nmf.html" target="_self">nmf</a></td><td class="desc">Main kernel class for generating OpenCL kernels for nonnegative matrix factorization of a dense matrices </td></tr>
<tr id="row_0_4_3_0_21_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1scalar.html" target="_self">scalar</a></td><td class="desc">Main kernel class for generating OpenCL kernels for operations involving viennacl::scalar<>, but not viennacl::vector<> or viennacl::matrix<> </td></tr>
<tr id="row_0_4_3_0_22_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1scan.html" target="_self">scan</a></td><td class="desc">Main kernel class for generating OpenCL kernels for singular value decomposition of dense matrices </td></tr>
<tr id="row_0_4_3_0_23_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1sliced__ell__matrix.html" target="_self">sliced_ell_matrix</a></td><td class="desc">Main kernel class for generating OpenCL kernels for <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html" title="Main kernel class for generating OpenCL kernels for ell_matrix. ">ell_matrix</a> </td></tr>
<tr id="row_0_4_3_0_24_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1sliced__ell__matrix_3_01_numeric_t_00_01unsigned_01int_01_4.html" target="_self">sliced_ell_matrix< NumericT, unsigned int ></a></td><td class="desc"></td></tr>
<tr id="row_0_4_3_0_25_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1spai.html" target="_self">spai</a></td><td class="desc">Main kernel class for generating OpenCL kernels for the sparse approximate inverse preconditioners </td></tr>
<tr id="row_0_4_3_0_26_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1svd.html" target="_self">svd</a></td><td class="desc">Main kernel class for generating OpenCL kernels for singular value decomposition of dense matrices </td></tr>
<tr id="row_0_4_3_0_27_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1vector.html" target="_self">vector</a></td><td class="desc">Main kernel class for generating OpenCL kernels for operations on/with viennacl::vector<> without involving matrices, multiple inner products, or element-wise operations other than addition or subtraction </td></tr>
<tr id="row_0_4_3_0_28_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1vector__convert.html" target="_self">vector_convert</a></td><td class="desc">Main kernel class for vector conversion routines (e.g. convert vector<int> to vector<float>) </td></tr>
<tr id="row_0_4_3_0_29_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1vector__element.html" target="_self">vector_element</a></td><td class="desc">Main kernel class for generating OpenCL kernels for elementwise operations other than addition and subtraction on/with viennacl::vector<> </td></tr>
<tr id="row_0_4_3_0_30_" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1vector__multi__inner__prod.html" target="_self">vector_multi_inner_prod</a></td><td class="desc">Main kernel class for generating OpenCL kernels for multiple inner products on/with viennacl::vector<> </td></tr>
<tr id="row_0_4_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1amg__coarse__problem__too__large__exception.html" target="_self">amg_coarse_problem_too_large_exception</a></td><td class="desc"></td></tr>
<tr id="row_0_4_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1amg__precond.html" target="_self">amg_precond</a></td><td class="desc">AMG preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1amg__precond_3_01compressed__matrix_3_01_numeric_t_00_01_alignment_v_01_4_01_4.html" target="_self">amg_precond< compressed_matrix< NumericT, AlignmentV > ></a></td><td class="desc">AMG preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1amg__tag.html" target="_self">amg_tag</a></td><td class="desc">A tag for algebraic multigrid (AMG). Used to transport information from the user to the implementation </td></tr>
<tr id="row_0_4_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1bicgstab__solver.html" target="_self">bicgstab_solver</a></td><td class="desc"></td></tr>
<tr id="row_0_4_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1bicgstab__tag.html" target="_self">bicgstab_tag</a></td><td class="desc">A tag for the stabilized Bi-conjugate gradient solver. Used for supplying solver parameters and for dispatching the <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a> function </td></tr>
<tr id="row_0_4_10_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1block__ilu__precond.html" target="_self">block_ilu_precond</a></td><td class="desc">A block ILU preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_11_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html" target="_self">block_ilu_precond< compressed_matrix< NumericT, AlignmentV >, ILUTagT ></a></td><td class="desc">ILUT preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_12_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1cg__solver.html" target="_self">cg_solver</a></td><td class="desc"></td></tr>
<tr id="row_0_4_13_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1cg__tag.html" target="_self">cg_tag</a></td><td class="desc">A tag for the conjugate gradient Used for supplying solver parameters and for dispatching the <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a> function </td></tr>
<tr id="row_0_4_14_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1chow__patel__icc__precond.html" target="_self">chow_patel_icc_precond</a></td><td class="desc">Parallel Chow-Patel ILU preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_15_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1chow__patel__icc__precond_3_01viennacl_1_1compressed__matrix_3_01_num12c156ca568277646db4ffa0c9da3134.html" target="_self">chow_patel_icc_precond< viennacl::compressed_matrix< NumericT, AlignmentV > ></a></td><td class="desc">Parallel Chow-Patel ILU preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_16_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1chow__patel__ilu__precond.html" target="_self">chow_patel_ilu_precond</a></td><td class="desc">Parallel Chow-Patel ILU preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_17_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1chow__patel__ilu__precond_3_01viennacl_1_1compressed__matrix_3_01_num1d4c01a16bf6e4ce8c15fcd9140c68ca.html" target="_self">chow_patel_ilu_precond< viennacl::compressed_matrix< NumericT, AlignmentV > ></a></td><td class="desc">Parallel Chow-Patel ILU preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_18_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1chow__patel__tag.html" target="_self">chow_patel_tag</a></td><td class="desc">A tag for incomplete LU and incomplete Cholesky factorization with static pattern (Parallel-ILU0, Parallel ICC0) </td></tr>
<tr id="row_0_4_19_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1fspai__precond.html" target="_self">fspai_precond</a></td><td class="desc">Implementation of the Factored SParse Approximate Inverse Algorithm for a generic, uBLAS-compatible matrix type </td></tr>
<tr id="row_0_4_20_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1fspai__precond_3_01viennacl_1_1compressed__matrix_3_01_scalar_type_00e2257d431089a1252a9a2c07955b0dee.html" target="_self">fspai_precond< viennacl::compressed_matrix< ScalarType, MAT_ALIGNMENT > ></a></td><td class="desc">Implementation of the Factored SParse Approximate Inverse Algorithm for a ViennaCL <a class="el" href="classviennacl_1_1compressed__matrix.html" title="A sparse square matrix in compressed sparse rows format. ">compressed_matrix</a> </td></tr>
<tr id="row_0_4_21_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1gmres__solver.html" target="_self">gmres_solver</a></td><td class="desc"></td></tr>
<tr id="row_0_4_22_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1gmres__tag.html" target="_self">gmres_tag</a></td><td class="desc">A tag for the solver GMRES. Used for supplying solver parameters and for dispatching the <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a> function </td></tr>
<tr id="row_0_4_23_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1ichol0__precond.html" target="_self">ichol0_precond</a></td><td class="desc">Incomplete Cholesky preconditioner class with static pattern (ICHOL0), can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_24_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1ichol0__precond_3_01compressed__matrix_3_01_numeric_t_00_01_alignment_v_01_4_01_4.html" target="_self">ichol0_precond< compressed_matrix< NumericT, AlignmentV > ></a></td><td class="desc">ILU0 preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_25_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1ichol0__tag.html" target="_self">ichol0_tag</a></td><td class="desc">A tag for incomplete Cholesky factorization with static pattern (ILU0) </td></tr>
<tr id="row_0_4_26_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1ilu0__precond.html" target="_self">ilu0_precond</a></td><td class="desc">ILU0 preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_27_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1ilu0__precond_3_01viennacl_1_1compressed__matrix_3_01_numeric_t_00_01_alignment_v_01_4_01_4.html" target="_self">ilu0_precond< viennacl::compressed_matrix< NumericT, AlignmentV > ></a></td><td class="desc">ILU0 preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_28_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1ilu0__tag.html" target="_self">ilu0_tag</a></td><td class="desc">A tag for incomplete LU factorization with static pattern (ILU0) </td></tr>
<tr id="row_0_4_29_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1ilut__precond.html" target="_self">ilut_precond</a></td><td class="desc">ILUT preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_30_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1ilut__precond_3_01viennacl_1_1compressed__matrix_3_01_numeric_t_00_01_alignment_v_01_4_01_4.html" target="_self">ilut_precond< viennacl::compressed_matrix< NumericT, AlignmentV > ></a></td><td class="desc">ILUT preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_31_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1ilut__tag.html" target="_self">ilut_tag</a></td><td class="desc">A tag for incomplete LU factorization with threshold (ILUT) </td></tr>
<tr id="row_0_4_32_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1jacobi__precond.html" target="_self">jacobi_precond</a></td><td class="desc">Jacobi preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines. Generic version for non-ViennaCL matrices </td></tr>
<tr id="row_0_4_33_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1jacobi__precond_3_01_matrix_t_00_01true_01_4.html" target="_self">jacobi_precond< MatrixT, true ></a></td><td class="desc">Jacobi preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_34_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1jacobi__tag.html" target="_self">jacobi_tag</a></td><td class="desc">A tag for a jacobi preconditioner </td></tr>
<tr id="row_0_4_35_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1lanczos__tag.html" target="_self">lanczos_tag</a></td><td class="desc">A tag for the lanczos algorithm </td></tr>
<tr id="row_0_4_36_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1lower__tag.html" target="_self">lower_tag</a></td><td class="desc">A tag class representing a lower triangular matrix </td></tr>
<tr id="row_0_4_37_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1mixed__precision__cg__tag.html" target="_self">mixed_precision_cg_tag</a></td><td class="desc">A tag for the conjugate gradient Used for supplying solver parameters and for dispatching the <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a> function </td></tr>
<tr id="row_0_4_38_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1nmf__config.html" target="_self">nmf_config</a></td><td class="desc">Configuration class for the nonnegative-matrix-factorization algorithm. Specify tolerances, maximum iteration counts, etc., here </td></tr>
<tr id="row_0_4_39_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1no__precond.html" target="_self">no_precond</a></td><td class="desc">A tag class representing the use of no preconditioner </td></tr>
<tr id="row_0_4_40_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1power__iter__tag.html" target="_self">power_iter_tag</a></td><td class="desc">A tag for the power iteration algorithm </td></tr>
<tr id="row_0_4_41_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1row__scaling.html" target="_self">row_scaling</a></td><td class="desc">Jacobi-type preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines. This is a diagonal preconditioner with the diagonal entries being (configurable) row norms of the matrix </td></tr>
<tr id="row_0_4_42_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1row__scaling_3_01_matrix_type_00_01true_01_4.html" target="_self">row_scaling< MatrixType, true ></a></td><td class="desc">Jacobi preconditioner class, can be supplied to <a class="el" href="namespaceviennacl_1_1linalg.html#a6e9b329b64ac782e6a5687ad2fc47a2a">solve()</a>-routines </td></tr>
<tr id="row_0_4_43_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1row__scaling__tag.html" target="_self">row_scaling_tag</a></td><td class="desc">A tag for a row scaling preconditioner which merely normalizes the equation system such that each row of the system matrix has unit norm </td></tr>
<tr id="row_0_4_44_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1spai__precond.html" target="_self">spai_precond</a></td><td class="desc">Implementation of the SParse Approximate Inverse Algorithm for a generic, uBLAS-compatible matrix type </td></tr>
<tr id="row_0_4_45_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1linalg_1_1spai__precond_3_01viennacl_1_1compressed__matrix_3_01_scalar_type_00_85d4c7cd827146fed2347215919b14e6.html" target="_self">spai_precond< viennacl::compressed_matrix< ScalarType, MAT_ALIGNMENT > ></a></td><td class="desc">Implementation of the SParse Approximate Inverse Algorithm for a ViennaCL <a class="el" href="classviennacl_1_1compressed__matrix.html" title="A sparse square matrix in compressed sparse rows format. ">compressed_matrix</a> </td></tr>
<tr id="row_0_4_46_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1unit__lower__tag.html" target="_self">unit_lower_tag</a></td><td class="desc">A tag class representing a lower triangular matrix with unit diagonal </td></tr>
<tr id="row_0_4_47_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1unit__upper__tag.html" target="_self">unit_upper_tag</a></td><td class="desc">A tag class representing an upper triangular matrix with unit diagonal </td></tr>
<tr id="row_0_4_48_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1linalg_1_1upper__tag.html" target="_self">upper_tag</a></td><td class="desc">A tag class representing an upper triangular matrix </td></tr>
<tr id="row_0_5_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_5_" class="arrow" onclick="toggleFolder('0_5_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1ocl.html" target="_self">ocl</a></td><td class="desc">OpenCL backend. Manages platforms, contexts, buffers, kernels, etc </td></tr>
<tr id="row_0_5_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1ocl_1_1accelerator__tag.html" target="_self">accelerator_tag</a></td><td class="desc">A tag identifying OpenCL devices as accelerators (e.g. Intel Xeon Phi) </td></tr>
<tr id="row_0_5_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1backend.html" target="_self">backend</a></td><td class="desc">A backend that provides contexts for ViennaCL objects (vector, matrix, etc.) </td></tr>
<tr id="row_0_5_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1build__program__failure.html" target="_self">build_program_failure</a></td><td class="desc">Exception thrown if the OpenCL program cannot be built, usually due to a syntax error in the OpenCL code </td></tr>
<tr id="row_0_5_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1command__queue.html" target="_self">command_queue</a></td><td class="desc">A class representing a command queue </td></tr>
<tr id="row_0_5_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1compiler__not__available.html" target="_self">compiler_not_available</a></td><td class="desc">Exception thrown if the OpenCL just-in-time compiler is not available </td></tr>
<tr id="row_0_5_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1context.html" target="_self">context</a></td><td class="desc">Manages an OpenCL context and provides the respective convenience functions for creating buffers, etc </td></tr>
<tr id="row_0_5_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1ocl_1_1cpu__tag.html" target="_self">cpu_tag</a></td><td class="desc">A tag identifying OpenCL devices as CPUs </td></tr>
<tr id="row_0_5_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1ocl_1_1default__tag.html" target="_self">default_tag</a></td><td class="desc">A tag denoting the default OpenCL device type (SDK-specific) </td></tr>
<tr id="row_0_5_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1device.html" target="_self">device</a></td><td class="desc">A class representing a compute device (e.g. a GPU) </td></tr>
<tr id="row_0_5_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1device__not__available.html" target="_self">device_not_available</a></td><td class="desc">Exception thrown if the selected compute device is not available (maybe locked by another process) </td></tr>
<tr id="row_0_5_10_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1device__not__found.html" target="_self">device_not_found</a></td><td class="desc">Exception thrown in the case that a requested compute device was not found </td></tr>
<tr id="row_0_5_11_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1ocl_1_1_d_o_u_b_l_e___p_r_e_c_i_s_i_o_n___c_h_e_c_k_e_r.html" target="_self">DOUBLE_PRECISION_CHECKER</a></td><td class="desc">Ensures that double precision types are only allocated if it is supported by the device. If double precision is requested for a device not capable of providing that, a <a class="el" href="classviennacl_1_1ocl_1_1double__precision__not__provided__error.html" title="Exception thrown if the user wants to use double precision arithmetics, but the device does not suppo...">double_precision_not_provided_error</a> is thrown </td></tr>
<tr id="row_0_5_12_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1double__precision__not__provided__error.html" target="_self">double_precision_not_provided_error</a></td><td class="desc">Exception thrown if the user wants to use double precision arithmetics, but the device does not support double precision </td></tr>
<tr id="row_0_5_13_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1ocl_1_1error__checker.html" target="_self">error_checker</a></td><td class="desc">An error reporting class. Template argument is used to avoid problems with external linkage </td></tr>
<tr id="row_0_5_14_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1ocl_1_1gpu__tag.html" target="_self">gpu_tag</a></td><td class="desc">A tag identifying OpenCL devices as GPUs </td></tr>
<tr id="row_0_5_15_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1handle.html" target="_self">handle</a></td><td class="desc">Handle class the effectively represents a smart pointer for OpenCL handles </td></tr>
<tr id="row_0_5_16_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1handle__inc__dec__helper.html" target="_self">handle_inc_dec_helper</a></td><td class="desc">Helper for OpenCL reference counting used by class handle </td></tr>
<tr id="row_0_5_17_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1image__format__mismatch.html" target="_self">image_format_mismatch</a></td><td class="desc">Exception thrown if there is a mismatch in image formats for the operands </td></tr>
<tr id="row_0_5_18_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1image__format__not__supported.html" target="_self">image_format_not_supported</a></td><td class="desc">Exception thrown if the requested image format is not supported </td></tr>
<tr id="row_0_5_19_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__arg__index.html" target="_self">invalid_arg_index</a></td><td class="desc">Exception thrown if the kernel argument index is invalid, e.g. an arg index larger than the number of kernel arguments was provided </td></tr>
<tr id="row_0_5_20_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__arg__size.html" target="_self">invalid_arg_size</a></td><td class="desc">Exception thrown if the arguments to an OpenCL kernel have an invalid size e.g. not sizeof(cl_mem)) </td></tr>
<tr id="row_0_5_21_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__arg__value.html" target="_self">invalid_arg_value</a></td><td class="desc">Exception thrown if the kernel argument provided has an invalid value </td></tr>
<tr id="row_0_5_22_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__binary.html" target="_self">invalid_binary</a></td><td class="desc">Exception thrown if the OpenCL binary (generated from the jit-compiler or loaded from some other location) won't work on the device (e.g. due to a lack of double precision support) </td></tr>
<tr id="row_0_5_23_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__buffer__size.html" target="_self">invalid_buffer_size</a></td><td class="desc">Exception thrown if the provided buffer size is invalid (e.g. zero) </td></tr>
<tr id="row_0_5_24_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__build__options.html" target="_self">invalid_build_options</a></td><td class="desc">Exception thrown if invalid build options are passed to the OpenCL just-in-time compiler </td></tr>
<tr id="row_0_5_25_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__command__queue.html" target="_self">invalid_command_queue</a></td><td class="desc">Exception thrown if an invalid OpenCL command queue is provided to an OpenCL function </td></tr>
<tr id="row_0_5_26_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__context.html" target="_self">invalid_context</a></td><td class="desc">Exception thrown if an invalid OpenCL context is provided to an OpenCL function </td></tr>
<tr id="row_0_5_27_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__device.html" target="_self">invalid_device</a></td><td class="desc">Exception thrown if an invalid OpenCL device is provided to an OpenCL function </td></tr>
<tr id="row_0_5_28_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__device__type.html" target="_self">invalid_device_type</a></td><td class="desc">Exception thrown if an invalid device type is specified </td></tr>
<tr id="row_0_5_29_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__event.html" target="_self">invalid_event</a></td><td class="desc">Exception thrown if the provided event object (of type cl_event) is invalid </td></tr>
<tr id="row_0_5_30_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__event__wait__list.html" target="_self">invalid_event_wait_list</a></td><td class="desc">Exception thrown if the provided event wait list is invalid </td></tr>
<tr id="row_0_5_31_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__gl__object.html" target="_self">invalid_gl_object</a></td><td class="desc">Exception thrown if the provided OpenGL (not OpenCL) object is invalid </td></tr>
<tr id="row_0_5_32_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__global__offset.html" target="_self">invalid_global_offset</a></td><td class="desc">Exception thrown if the provided offset for get_global_id() in OpenCL kernels is invalid </td></tr>
<tr id="row_0_5_33_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__global__work__size.html" target="_self">invalid_global_work_size</a></td><td class="desc">Exception thrown if the total number of work items is invalid (for example, not divisible by the number of work items per work group) </td></tr>
<tr id="row_0_5_34_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__host__ptr.html" target="_self">invalid_host_ptr</a></td><td class="desc">Exception thrown if the provided pointer to host memory is invalid </td></tr>
<tr id="row_0_5_35_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__image__format__descriptor.html" target="_self">invalid_image_format_descriptor</a></td><td class="desc">Exception thrown if an invalid image format descriptor is provided </td></tr>
<tr id="row_0_5_36_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__image__size.html" target="_self">invalid_image_size</a></td><td class="desc">Exception thrown if the image size provided is invalid (e.g. zero) </td></tr>
<tr id="row_0_5_37_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__kernel.html" target="_self">invalid_kernel</a></td><td class="desc">Exception thrown if the provided kernel object (of type cl_kernel) is invalid (e.g. not initialized, from different context, or corrupted) </td></tr>
<tr id="row_0_5_38_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__kernel__args.html" target="_self">invalid_kernel_args</a></td><td class="desc">Exception thrown if the kernel arguments are invalid and/or do not fit the kernel parameter list </td></tr>
<tr id="row_0_5_39_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__kernel__definition.html" target="_self">invalid_kernel_definition</a></td><td class="desc">Exception thrown if the kernel definition (number of arguments, argument types, etc.) is not the same for all devices for which the program has been built </td></tr>
<tr id="row_0_5_40_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__kernel__name.html" target="_self">invalid_kernel_name</a></td><td class="desc">Exception thrown if the provided kernel name is invalid (e.g. not part of the program provided) </td></tr>
<tr id="row_0_5_41_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__mem__object.html" target="_self">invalid_mem_object</a></td><td class="desc">Exception thrown if an invalid OpenCL memory object (of type cl_mem) is passed to an OpenCL funciton </td></tr>
<tr id="row_0_5_42_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__mip__level.html" target="_self">invalid_mip_level</a></td><td class="desc">Exception thrown if the provided miplevel is greater than zero, but the OpenGL implementation does not support creating from non-zero mipmap levels </td></tr>
<tr id="row_0_5_43_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__operation.html" target="_self">invalid_operation</a></td><td class="desc">Exception thrown if interoperability of OpenCL with other frameworks collide </td></tr>
<tr id="row_0_5_44_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__platform.html" target="_self">invalid_platform</a></td><td class="desc">Exception thrown if an invalid OpenCL platform is provided to an OpenCL function </td></tr>
<tr id="row_0_5_45_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__program.html" target="_self">invalid_program</a></td><td class="desc">Exception thrown if an OpenCL program object handle is invalid (e.g. not initialized) </td></tr>
<tr id="row_0_5_46_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__program__executable.html" target="_self">invalid_program_executable</a></td><td class="desc">Exception thrown if there is no built program exectuable available for the device </td></tr>
<tr id="row_0_5_47_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__property.html" target="_self">invalid_property</a></td><td class="desc">Exception thrown if an invalid property is provided to a function (vague value) </td></tr>
<tr id="row_0_5_48_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__queue__properties.html" target="_self">invalid_queue_properties</a></td><td class="desc">Exception thrown if invalid OpenCL command queue properties are provided when creating a command queue </td></tr>
<tr id="row_0_5_49_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__sampler.html" target="_self">invalid_sampler</a></td><td class="desc">Exception thrown if an invalid sampler is provided for an image </td></tr>
<tr id="row_0_5_50_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__value.html" target="_self">invalid_value</a></td><td class="desc">Exception thrown is an invalid value is provided to an OpenCL function </td></tr>
<tr id="row_0_5_51_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__work__dimension.html" target="_self">invalid_work_dimension</a></td><td class="desc">Exception thrown if the work dimension is invalid (usually this means that the work dimension was set to be larger than three </td></tr>
<tr id="row_0_5_52_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__work__group__size.html" target="_self">invalid_work_group_size</a></td><td class="desc">Exception thrown if the number of work groups is invalid (usually this means that more than 256/512/768/1024 work groups have been specified, but the device(s) cannot support this </td></tr>
<tr id="row_0_5_53_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1invalid__work__item__size.html" target="_self">invalid_work_item_size</a></td><td class="desc">Exception thrown if the number of work items per work group invalid (usually this means that more than 256/512/768/1024 work items have been specified, but the device(s) cannot support this </td></tr>
<tr id="row_0_5_54_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1kernel.html" target="_self">kernel</a></td><td class="desc">Represents an OpenCL kernel within ViennaCL </td></tr>
<tr id="row_0_5_55_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1kernel__not__found.html" target="_self">kernel_not_found</a></td><td class="desc"></td></tr>
<tr id="row_0_5_56_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1local__mem.html" target="_self">local_mem</a></td><td class="desc">A class representing local (shared) OpenCL memory. Typically used as kernel argument </td></tr>
<tr id="row_0_5_57_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1map__failure.html" target="_self">map_failure</a></td><td class="desc">Exception thrown if the mapping of device memory to the host memory space failed </td></tr>
<tr id="row_0_5_58_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1mem__copy__overlap.html" target="_self">mem_copy_overlap</a></td><td class="desc">Exception thrown if the source buffer overlaps the destination buffer when copying from device memory to device memory </td></tr>
<tr id="row_0_5_59_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1mem__object__allocation__failure.html" target="_self">mem_object_allocation_failure</a></td><td class="desc">Exception thrown if a memory object cannot be allocated. Usually the requested memory buffer is simply too large </td></tr>
<tr id="row_0_5_60_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1out__of__host__memory.html" target="_self">out_of_host_memory</a></td><td class="desc">Exception thrown if the host cannot provide enough memory for the datastructures in the OpenCL backend (temporary arrays, etc.) to perform the requested operation </td></tr>
<tr id="row_0_5_61_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1out__of__resources.html" target="_self">out_of_resources</a></td><td class="desc">Exception thrown if the compute device is out of resources (either global memory, registers, etc.) for the requested operation </td></tr>
<tr id="row_0_5_62_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1ocl_1_1packed__cl__uint.html" target="_self">packed_cl_uint</a></td><td class="desc">Helper class for packing four cl_uint numbers into a uint4 type for access inside an OpenCL kernel </td></tr>
<tr id="row_0_5_63_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1platform.html" target="_self">platform</a></td><td class="desc">Wrapper class for an OpenCL platform </td></tr>
<tr id="row_0_5_64_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1profiling__info__not__available.html" target="_self">profiling_info_not_available</a></td><td class="desc">Exception thrown if the OpenCL context does not have CL_QUEUE_PROFILING_ENABLE set, if the execution is not complete, or the event object is a user event object </td></tr>
<tr id="row_0_5_65_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1program.html" target="_self">program</a></td><td class="desc">Wrapper class for an OpenCL program </td></tr>
<tr id="row_0_5_66_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1program__not__found.html" target="_self">program_not_found</a></td><td class="desc"></td></tr>
<tr id="row_0_5_67_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1queue__not__found.html" target="_self">queue_not_found</a></td><td class="desc"></td></tr>
<tr id="row_0_5_68_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1ocl_1_1type__to__string.html" target="_self">type_to_string</a></td><td class="desc">Helper class for converting a type to its string representation </td></tr>
<tr id="row_0_5_69_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ocl_1_1unknown__error.html" target="_self">unknown_error</a></td><td class="desc">Exception thrown if the returned error cannot be resolved to some defined error constant. Might result from invalid sources, invalid memory operations, etc </td></tr>
<tr id="row_0_6_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_6_" class="arrow" onclick="toggleFolder('0_6_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1result__of.html" target="_self">result_of</a></td><td class="desc">Namespace containing many meta-functions </td></tr>
<tr id="row_0_6_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1result__of_1_1alignment.html" target="_self">alignment</a></td><td class="desc">Retrieves the alignment from a vector. Deprecated - will be replaced by a pure runtime facility in the future </td></tr>
<tr id="row_0_6_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1result__of_1_1cl__type.html" target="_self">cl_type</a></td><td class="desc">Metafunction for deducing the OpenCL type for a numeric type, e.g. float -> cl_float </td></tr>
<tr id="row_0_6_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1result__of_1_1cpu__value__type.html" target="_self">cpu_value_type</a></td><td class="desc">Helper meta function for retrieving the main RAM-based value type. Particularly important to obtain T from viennacl::scalar<T> in a generic way </td></tr>
<tr id="row_0_6_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1result__of_1_1size__type.html" target="_self">size_type</a></td><td class="desc">Generic meta-function for retrieving the <a class="el" href="structviennacl_1_1result__of_1_1size__type.html" title="Generic meta-function for retrieving the size_type associated with type T. ">size_type</a> associated with type T </td></tr>
<tr id="row_0_6_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1result__of_1_1value__type.html" target="_self">value_type</a></td><td class="desc">Generic helper function for retrieving the <a class="el" href="structviennacl_1_1result__of_1_1value__type.html" title="Generic helper function for retrieving the value_type associated with type T. ">value_type</a> associated with type T </td></tr>
<tr id="row_0_7_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_7_" class="arrow" onclick="toggleFolder('0_7_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1scheduler.html" target="_self">scheduler</a></td><td class="desc">Contains the scheduling functionality which allows for dynamic kernel generation as well as the fusion of multiple statements into a single kernel </td></tr>
<tr id="row_0_7_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_7_0_" class="arrow" onclick="toggleFolder('0_7_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1scheduler_1_1result__of.html" target="_self">result_of</a></td><td class="desc">Helper metafunctions used for the scheduler </td></tr>
<tr id="row_0_7_0_0_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1result__of_1_1num__nodes.html" target="_self">num_nodes</a></td><td class="desc"></td></tr>
<tr id="row_0_7_0_1_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1result__of_1_1num__nodes_3_01const_01matrix__expression_3_01_l_h_011069f9bf48127b37197927d0585554.html" target="_self">num_nodes< const matrix_expression< LHS, RHS, OP > ></a></td><td class="desc"></td></tr>
<tr id="row_0_7_0_2_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1result__of_1_1num__nodes_3_01const_01scalar__expression_3_01_l_h_9d9a43e9a0aea2e2e741ea6a9166750d.html" target="_self">num_nodes< const scalar_expression< LHS, RHS, OP > ></a></td><td class="desc"></td></tr>
<tr id="row_0_7_0_3_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1result__of_1_1num__nodes_3_01const_01vector__expression_3_01_l_h_db8a7bb6e522575b18239d7526a98bfc.html" target="_self">num_nodes< const vector_expression< LHS, RHS, OP > ></a></td><td class="desc"></td></tr>
<tr id="row_0_7_0_4_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1result__of_1_1num__nodes_3_01matrix__expression_3_01_l_h_s_00_01_r_h_s_00_01_o_p_01_4_01_4.html" target="_self">num_nodes< matrix_expression< LHS, RHS, OP > ></a></td><td class="desc"></td></tr>
<tr id="row_0_7_0_5_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1result__of_1_1num__nodes_3_01scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01_o_p_01_4_01_4.html" target="_self">num_nodes< scalar_expression< LHS, RHS, OP > ></a></td><td class="desc"></td></tr>
<tr id="row_0_7_0_6_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1result__of_1_1num__nodes_3_01vector__expression_3_01_l_h_s_00_01_r_h_s_00_01_o_p_01_4_01_4.html" target="_self">num_nodes< vector_expression< LHS, RHS, OP > ></a></td><td class="desc"></td></tr>
<tr id="row_0_7_0_7_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1result__of_1_1numeric__type__id.html" target="_self">numeric_type_id</a></td><td class="desc">Helper metafunction for obtaining the runtime type ID for a numerical type </td></tr>
<tr id="row_0_7_0_8_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1result__of_1_1op__type__info.html" target="_self">op_type_info</a></td><td class="desc">Metafunction for querying type informations </td></tr>
<tr id="row_0_7_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1lhs__rhs__element.html" target="_self">lhs_rhs_element</a></td><td class="desc">A class representing the 'data' for the LHS or RHS operand of the respective node </td></tr>
<tr id="row_0_7_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1op__element.html" target="_self">op_element</a></td><td class="desc">Struct for holding the type family as well as the type of an operation (could be addition, subtraction, norm, etc.) </td></tr>
<tr id="row_0_7_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scheduler_1_1statement.html" target="_self">statement</a></td><td class="desc">The main class for representing a statement such as x = inner_prod(y,z); at runtime </td></tr>
<tr id="row_0_7_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scheduler_1_1statement__node.html" target="_self">statement_node</a></td><td class="desc">Main datastructure for an node in the statement tree </td></tr>
<tr id="row_0_7_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scheduler_1_1statement__not__supported__exception.html" target="_self">statement_not_supported_exception</a></td><td class="desc">Exception for the case the scheduler is unable to deal with the operation </td></tr>
<tr id="row_0_8_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_8_" class="arrow" onclick="toggleFolder('0_8_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1tools.html" target="_self">tools</a></td><td class="desc">Namespace for various tools used within ViennaCL </td></tr>
<tr id="row_0_8_0_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_0_8_0_" class="arrow" onclick="toggleFolder('0_8_0_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1tools_1_1detail.html" target="_self">detail</a></td><td class="desc">Contains implementation details for the tools. Usually not of interest for the library user </td></tr>
<tr id="row_0_8_0_0_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tools_1_1detail_1_1aux.html" target="_self">aux</a></td><td class="desc">Interface for the reference counter inside the <a class="el" href="classviennacl_1_1tools_1_1shared__ptr.html" title="A shared pointer class similar to boost::shared_ptr. Reimplemented in order to avoid a Boost-dependen...">shared_ptr</a> </td></tr>
<tr id="row_0_8_0_1_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tools_1_1detail_1_1auximpl.html" target="_self">auximpl</a></td><td class="desc">Implementation helper for the reference counting mechanism inside <a class="el" href="classviennacl_1_1tools_1_1shared__ptr.html" title="A shared pointer class similar to boost::shared_ptr. Reimplemented in order to avoid a Boost-dependen...">shared_ptr</a> </td></tr>
<tr id="row_0_8_0_2_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1tools_1_1detail_1_1count.html" target="_self">count</a></td><td class="desc">Reference counting class for the <a class="el" href="classviennacl_1_1tools_1_1shared__ptr.html" title="A shared pointer class similar to boost::shared_ptr. Reimplemented in order to avoid a Boost-dependen...">shared_ptr</a> implementation </td></tr>
<tr id="row_0_8_0_3_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tools_1_1detail_1_1default__deleter.html" target="_self">default_deleter</a></td><td class="desc">Default deleter class for a pointer. The default is to just call 'delete' on the pointer. Provide your own implementations for 'delete[]' and 'free' </td></tr>
<tr id="row_0_8_0_4_" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1tools_1_1detail_1_1sha1.html" target="_self">sha1</a></td><td class="desc"></td></tr>
<tr id="row_0_8_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tools_1_1_c_h_e_c_k___s_c_a_l_a_r___t_e_m_p_l_a_t_e___a_r_g_u_m_e_n_t.html" target="_self">CHECK_SCALAR_TEMPLATE_ARGUMENT</a></td><td class="desc">A guard that checks whether the floating point type of GPU types is either float or double </td></tr>
<tr id="row_0_8_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tools_1_1_c_o_n_s_t___r_e_m_o_v_e_r.html" target="_self">CONST_REMOVER</a></td><td class="desc">Removes the const qualifier from a type </td></tr>
<tr id="row_0_8_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapted__iterator.html" target="_self">const_sparse_matrix_adapted_iterator</a></td><td class="desc">A const iterator for sparse matrices of type std::vector<std::map<SizeT, NumericT> > </td></tr>
<tr id="row_0_8_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html" target="_self">const_sparse_matrix_adapter</a></td><td class="desc">Adapts a constant sparse matrix type made up from std::vector<std::map<SizeT, NumericT> > to basic ublas-compatibility </td></tr>
<tr id="row_0_8_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tools_1_1_c_p_u___s_c_a_l_a_r___t_y_p_e___d_e_d_u_c_e_r.html" target="_self">CPU_SCALAR_TYPE_DEDUCER</a></td><td class="desc">Obtain the cpu scalar type from a type, including a GPU type like viennacl::scalar<T> </td></tr>
<tr id="row_0_8_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tools_1_1_m_a_t_r_i_x___i_t_e_r_a_t_o_r___i_n_c_r_e_m_e_n_t_e_r.html" target="_self">MATRIX_ITERATOR_INCREMENTER</a></td><td class="desc">Helper class for incrementing an iterator in a dense matrix </td></tr>
<tr id="row_0_8_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tools_1_1_m_a_t_r_i_x___s_i_z_e___d_e_d_u_c_e_r.html" target="_self">MATRIX_SIZE_DEDUCER</a></td><td class="desc">Deduces the size of the resulting vector represented by a <a class="el" href="classviennacl_1_1vector__expression.html" title="An expression template class that represents a binary operation that yields a vector. ">vector_expression</a> from the operands </td></tr>
<tr id="row_0_8_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1tools_1_1normal__random__numbers.html" target="_self">normal_random_numbers</a></td><td class="desc">Random number generator for returning normally distributed values </td></tr>
<tr id="row_0_8_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1tools_1_1shared__ptr.html" target="_self">shared_ptr</a></td><td class="desc">A shared pointer class similar to boost::shared_ptr. Reimplemented in order to avoid a Boost-dependency. Will be replaced by std::shared_ptr as soon as C++11 is widely available </td></tr>
<tr id="row_0_8_10_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1tools_1_1sparse__matrix__adapted__iterator.html" target="_self">sparse_matrix_adapted_iterator</a></td><td class="desc">A non-const iterator for sparse matrices of type std::vector<std::map<SizeT, NumericT> > </td></tr>
<tr id="row_0_8_11_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html" target="_self">sparse_matrix_adapter</a></td><td class="desc">Adapts a non-const sparse matrix type made up from std::vector<std::map<SizeT, NumericT> > to basic ublas-compatibility </td></tr>
<tr id="row_0_8_12_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1tools_1_1timer.html" target="_self">timer</a></td><td class="desc">Simple timer class based on gettimeofday (POSIX) or QueryPerformanceCounter (Windows) </td></tr>
<tr id="row_0_8_13_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1tools_1_1uniform__random__numbers.html" target="_self">uniform_random_numbers</a></td><td class="desc">Random number generator for returning uniformly distributed values in the closed interval [0, 1] </td></tr>
<tr id="row_0_9_" style="display:none;"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_9_" class="arrow" onclick="toggleFolder('0_9_')">►</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespaceviennacl_1_1traits.html" target="_self">traits</a></td><td class="desc">Namespace providing traits-information as well as generic wrappers to common routines for vectors and matrices such as <a class="el" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0" title="Generic routine for obtaining the size of a vector (ViennaCL, uBLAS, etc.) ">size()</a> or <a class="el" href="namespaceviennacl_1_1traits.html#a22ab64b1df12a9da0423e5cad52ea367" title="Generic routine for setting all entries of a vector to zero. This is the version for non-ViennaCL obj...">clear()</a> </td></tr>
<tr id="row_0_9_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1traits_1_1tag__of.html" target="_self">tag_of</a></td><td class="desc">Generic base for wrapping other linear algebra packages </td></tr>
<tr id="row_0_10_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1advanced__cuthill__mckee__tag.html" target="_self">advanced_cuthill_mckee_tag</a></td><td class="desc">Tag for the advanced Cuthill-McKee algorithm (i.e. running the 'standard' Cuthill-McKee algorithm for a couple of different seeds) </td></tr>
<tr id="row_0_11_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1basic__range.html" target="_self">basic_range</a></td><td class="desc">A range class that refers to an interval [start, stop), where 'start' is included, and 'stop' is excluded </td></tr>
<tr id="row_0_12_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1basic__slice.html" target="_self">basic_slice</a></td><td class="desc">A slice class that refers to an interval [start, stop), where 'start' is included, and 'stop' is excluded </td></tr>
<tr id="row_0_13_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1circulant__matrix.html" target="_self">circulant_matrix</a></td><td class="desc">A Circulant matrix class </td></tr>
<tr id="row_0_14_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1col__iteration.html" target="_self">col_iteration</a></td><td class="desc">A tag indicating iteration along increasing columns index of a matrix </td></tr>
<tr id="row_0_15_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1column__major.html" target="_self">column_major</a></td><td class="desc">A tag for column-major storage of a dense matrix </td></tr>
<tr id="row_0_16_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1column__major__tag.html" target="_self">column_major_tag</a></td><td class="desc">Tag class for indicating column-major layout of a matrix. Not passed to the matrix directly, see <a class="el" href="structviennacl_1_1row__major.html" title="A tag for row-major storage of a dense matrix. ">row_major</a> type </td></tr>
<tr id="row_0_17_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1compressed__compressed__matrix.html" target="_self">compressed_compressed_matrix</a></td><td class="desc">A sparse square matrix in compressed sparse rows format optimized for the case that only a few rows carry nonzero entries </td></tr>
<tr id="row_0_18_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1compressed__matrix.html" target="_self">compressed_matrix</a></td><td class="desc">A sparse square matrix in compressed sparse rows format </td></tr>
<tr id="row_0_19_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1const__entry__proxy.html" target="_self">const_entry_proxy</a></td><td class="desc">A proxy class for a single element of a vector or matrix. This proxy should not be noticed by end-users of the library </td></tr>
<tr id="row_0_20_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1const__vector__iterator.html" target="_self">const_vector_iterator</a></td><td class="desc">A STL-type const-iterator for vector elements. Elements can be accessed, but cannot be manipulated. VERY SLOW!! </td></tr>
<tr id="row_0_21_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1context.html" target="_self">context</a></td><td class="desc">Represents a generic 'context' similar to an OpenCL context, but is backend-agnostic and thus also suitable for CUDA and OpenMP </td></tr>
<tr id="row_0_22_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1coordinate__matrix.html" target="_self">coordinate_matrix</a></td><td class="desc">A sparse square matrix, where entries are stored as triplets (i,j, val), where i and j are the row and column indices and val denotes the entry </td></tr>
<tr id="row_0_23_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1cuda__not__available__exception.html" target="_self">cuda_not_available_exception</a></td><td class="desc"></td></tr>
<tr id="row_0_24_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1cuthill__mckee__tag.html" target="_self">cuthill_mckee_tag</a></td><td class="desc">A tag class for selecting the Cuthill-McKee algorithm for reducing the bandwidth of a sparse matrix </td></tr>
<tr id="row_0_25_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1ell__matrix.html" target="_self">ell_matrix</a></td><td class="desc">Sparse matrix class using the ELLPACK format for storing the nonzeros </td></tr>
<tr id="row_0_26_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1enable__if.html" target="_self">enable_if</a></td><td class="desc">Simple enable-if variant that uses the SFINAE pattern </td></tr>
<tr id="row_0_27_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1entry__proxy.html" target="_self">entry_proxy</a></td><td class="desc">A proxy class for a single element of a vector or matrix. This proxy should not be noticed by end-users of the library </td></tr>
<tr id="row_0_28_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1gibbs__poole__stockmeyer__tag.html" target="_self">gibbs_poole_stockmeyer_tag</a></td><td class="desc">Tag class for identifying the Gibbs-Poole-Stockmeyer algorithm for reducing the bandwidth of a sparse matrix </td></tr>
<tr id="row_0_29_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1hankel__matrix.html" target="_self">hankel_matrix</a></td><td class="desc">A Hankel matrix class </td></tr>
<tr id="row_0_30_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1hyb__matrix.html" target="_self">hyb_matrix</a></td><td class="desc">Sparse matrix class using a hybrid format composed of the ELL and CSR format for storing the nonzeros </td></tr>
<tr id="row_0_31_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1identity__matrix.html" target="_self">identity_matrix</a></td><td class="desc">Represents a vector consisting of 1 at a given index and zeros otherwise. To be used as an initializer for <a class="el" href="classviennacl_1_1vector.html">viennacl::vector</a>, <a class="el" href="classviennacl_1_1vector__range.html" title="Class for representing non-strided subvectors of a bigger vector x. ">vector_range</a>, or vector_slize only </td></tr>
<tr id="row_0_32_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1implicit__matrix__base.html" target="_self">implicit_matrix_base</a></td><td class="desc">Base class for representing matrices where the individual entries are not all stored explicitly, e.g. identity_matrix<> </td></tr>
<tr id="row_0_33_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1implicit__vector__base.html" target="_self">implicit_vector_base</a></td><td class="desc">Common base class for representing vectors where the entries are not all stored explicitly </td></tr>
<tr id="row_0_34_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__addition.html" target="_self">is_addition</a></td><td class="desc">Helper metafunction for checking whether the provided type is <a class="el" href="structviennacl_1_1op__add.html" title="A tag class representing addition. ">viennacl::op_add</a> (for addition) </td></tr>
<tr id="row_0_35_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__any__dense__matrix.html" target="_self">is_any_dense_matrix</a></td><td class="desc">Checks for either <a class="el" href="classviennacl_1_1matrix__base.html">matrix_base</a> or <a class="el" href="classviennacl_1_1implicit__matrix__base.html" title="Base class for representing matrices where the individual entries are not all stored explicitly...">implicit_matrix_base</a> </td></tr>
<tr id="row_0_36_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__any__dense__structured__matrix.html" target="_self">is_any_dense_structured_matrix</a></td><td class="desc">Helper class for checking whether the provided type is any of the dense structured matrix types (circulant, Hankel, etc.) </td></tr>
<tr id="row_0_37_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__any__scalar.html" target="_self">is_any_scalar</a></td><td class="desc">Helper struct for checking whether the provided type represents a scalar (either host, from ViennaCL, or a flip-sign proxy) </td></tr>
<tr id="row_0_38_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__any__sparse__matrix.html" target="_self">is_any_sparse_matrix</a></td><td class="desc">Helper class for checking whether the provided type is one of the sparse matrix types (<a class="el" href="classviennacl_1_1compressed__matrix.html" title="A sparse square matrix in compressed sparse rows format. ">compressed_matrix</a>, <a class="el" href="classviennacl_1_1coordinate__matrix.html" title="A sparse square matrix, where entries are stored as triplets (i,j, val), where i and j are the row an...">coordinate_matrix</a>, etc.) </td></tr>
<tr id="row_0_39_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__any__vector.html" target="_self">is_any_vector</a></td><td class="desc">Checks for a type being either <a class="el" href="classviennacl_1_1vector__base.html" title="Common base class for dense vectors, vector ranges, and vector slices. ">vector_base</a> or <a class="el" href="classviennacl_1_1implicit__vector__base.html" title="Common base class for representing vectors where the entries are not all stored explicitly. ">implicit_vector_base</a> </td></tr>
<tr id="row_0_40_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__circulant__matrix.html" target="_self">is_circulant_matrix</a></td><td class="desc">Helper class for checking whether a matrix is a circulant matrix </td></tr>
<tr id="row_0_41_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__compressed__matrix.html" target="_self">is_compressed_matrix</a></td><td class="desc">Helper class for checking whether a matrix is a <a class="el" href="classviennacl_1_1compressed__matrix.html" title="A sparse square matrix in compressed sparse rows format. ">compressed_matrix</a> (CSR format) </td></tr>
<tr id="row_0_42_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__coordinate__matrix.html" target="_self">is_coordinate_matrix</a></td><td class="desc">Helper class for checking whether a matrix is a <a class="el" href="classviennacl_1_1coordinate__matrix.html" title="A sparse square matrix, where entries are stored as triplets (i,j, val), where i and j are the row an...">coordinate_matrix</a> (COO format) </td></tr>
<tr id="row_0_43_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__cpu__scalar.html" target="_self">is_cpu_scalar</a></td><td class="desc">Helper struct for checking whether a type is a host scalar type (e.g. float, double) </td></tr>
<tr id="row_0_44_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__division.html" target="_self">is_division</a></td><td class="desc">Helper metafunction for checking whether the provided type is <a class="el" href="structviennacl_1_1op__div.html" title="A tag class representing division. ">viennacl::op_div</a> (for division) </td></tr>
<tr id="row_0_45_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__eigen.html" target="_self">is_eigen</a></td><td class="desc">Meta function which checks whether a tag is <a class="el" href="structviennacl_1_1tag__eigen.html" title="A tag class for identifying types from Eigen. ">tag_eigen</a> </td></tr>
<tr id="row_0_46_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__ell__matrix.html" target="_self">is_ell_matrix</a></td><td class="desc">Helper class for checking whether a matrix is an <a class="el" href="classviennacl_1_1ell__matrix.html" title="Sparse matrix class using the ELLPACK format for storing the nonzeros. ">ell_matrix</a> (ELL format) </td></tr>
<tr id="row_0_47_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__flip__sign__scalar.html" target="_self">is_flip_sign_scalar</a></td><td class="desc">Helper struct for checking whether a type represents a sign flip on a viennacl::scalar<> </td></tr>
<tr id="row_0_48_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__hankel__matrix.html" target="_self">is_hankel_matrix</a></td><td class="desc">Helper class for checking whether a matrix is a Hankel matrix </td></tr>
<tr id="row_0_49_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__hyb__matrix.html" target="_self">is_hyb_matrix</a></td><td class="desc">Helper class for checking whether a matrix is a <a class="el" href="classviennacl_1_1hyb__matrix.html" title="Sparse matrix class using a hybrid format composed of the ELL and CSR format for storing the nonzeros...">hyb_matrix</a> (hybrid format: ELL plus CSR) </td></tr>
<tr id="row_0_50_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__mtl4.html" target="_self">is_mtl4</a></td><td class="desc">Meta function which checks whether a tag is <a class="el" href="structviennacl_1_1tag__mtl4.html" title="A tag class for identifying types from MTL4. ">tag_mtl4</a> </td></tr>
<tr id="row_0_51_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__primitive__type.html" target="_self">is_primitive_type</a></td><td class="desc">Helper class for checking whether a type is a primitive type </td></tr>
<tr id="row_0_52_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__product.html" target="_self">is_product</a></td><td class="desc">Helper metafunction for checking whether the provided type is <a class="el" href="structviennacl_1_1op__prod.html" title="A tag class representing matrix-vector products and element-wise multiplications. ...">viennacl::op_prod</a> (for products/multiplication) </td></tr>
<tr id="row_0_53_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__row__major.html" target="_self">is_row_major</a></td><td class="desc">Helper class for checking whether a matrix has a row-major layout </td></tr>
<tr id="row_0_54_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__scalar.html" target="_self">is_scalar</a></td><td class="desc">Helper struct for checking whether a type is a viennacl::scalar<> </td></tr>
<tr id="row_0_55_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__sliced__ell__matrix.html" target="_self">is_sliced_ell_matrix</a></td><td class="desc">Helper class for checking whether a matrix is a <a class="el" href="classviennacl_1_1sliced__ell__matrix.html" title="Sparse matrix class using the sliced ELLPACK with parameters C, . ">sliced_ell_matrix</a> (SELL-C- <img class="formulaInl" alt="$ \sigma $" src="form_0.png"/> format) </td></tr>
<tr id="row_0_56_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__stl.html" target="_self">is_stl</a></td><td class="desc">Meta function which checks whether a tag is <a class="el" href="structviennacl_1_1tag__ublas.html" title="A tag class for identifying types from uBLAS. ">tag_ublas</a> </td></tr>
<tr id="row_0_57_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__subtraction.html" target="_self">is_subtraction</a></td><td class="desc">Helper metafunction for checking whether the provided type is <a class="el" href="structviennacl_1_1op__sub.html" title="A tag class representing subtraction. ">viennacl::op_sub</a> (for subtraction) </td></tr>
<tr id="row_0_58_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__toeplitz__matrix.html" target="_self">is_toeplitz_matrix</a></td><td class="desc">Helper class for checking whether a matrix is a Toeplitz matrix </td></tr>
<tr id="row_0_59_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__ublas.html" target="_self">is_ublas</a></td><td class="desc">Meta function which checks whether a tag is <a class="el" href="structviennacl_1_1tag__ublas.html" title="A tag class for identifying types from uBLAS. ">tag_ublas</a> </td></tr>
<tr id="row_0_60_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__vandermonde__matrix.html" target="_self">is_vandermonde_matrix</a></td><td class="desc">Helper class for checking whether a matrix is a Vandermonde matrix </td></tr>
<tr id="row_0_61_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1is__viennacl.html" target="_self">is_viennacl</a></td><td class="desc">Meta function which checks whether a tag is <a class="el" href="structviennacl_1_1tag__viennacl.html" title="A tag class for identifying types from ViennaCL. ">tag_viennacl</a> </td></tr>
<tr id="row_0_62_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1matrix.html" target="_self">matrix</a></td><td class="desc">A dense matrix class </td></tr>
<tr id="row_0_63_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1matrix__base.html" target="_self">matrix_base</a></td><td class="desc"></td></tr>
<tr id="row_0_64_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1matrix__expression.html" target="_self">matrix_expression</a></td><td class="desc">Expression template class for representing a tree of expressions which ultimately result in a matrix </td></tr>
<tr id="row_0_65_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1matrix__iterator.html" target="_self">matrix_iterator</a></td><td class="desc">A dense matrix class </td></tr>
<tr id="row_0_66_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1matrix__range.html" target="_self">matrix_range</a></td><td class="desc">Class for representing non-strided submatrices of a bigger matrix A </td></tr>
<tr id="row_0_67_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html" target="_self">matrix_range< matrix_range< MatrixType > ></a></td><td class="desc"></td></tr>
<tr id="row_0_68_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1matrix__slice.html" target="_self">matrix_slice</a></td><td class="desc">Class for representing strided submatrices of a bigger matrix A </td></tr>
<tr id="row_0_69_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html" target="_self">matrix_slice< matrix_range< MatrixType > ></a></td><td class="desc"></td></tr>
<tr id="row_0_70_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1memory__exception.html" target="_self">memory_exception</a></td><td class="desc">Exception class in case of memory errors </td></tr>
<tr id="row_0_71_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1one__vector.html" target="_self">one_vector</a></td><td class="desc"></td></tr>
<tr id="row_0_72_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__abs.html" target="_self">op_abs</a></td><td class="desc">A tag class representing the modulus function for integers </td></tr>
<tr id="row_0_73_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__acos.html" target="_self">op_acos</a></td><td class="desc">A tag class representing the acos() function </td></tr>
<tr id="row_0_74_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__add.html" target="_self">op_add</a></td><td class="desc">A tag class representing addition </td></tr>
<tr id="row_0_75_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__argmax.html" target="_self">op_argmax</a></td><td class="desc">A tag class for representing the argmax() function </td></tr>
<tr id="row_0_76_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__argmin.html" target="_self">op_argmin</a></td><td class="desc">A tag class for representing the argmin() function </td></tr>
<tr id="row_0_77_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__asin.html" target="_self">op_asin</a></td><td class="desc">A tag class representing the asin() function </td></tr>
<tr id="row_0_78_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__assign.html" target="_self">op_assign</a></td><td class="desc">A tag class representing assignment </td></tr>
<tr id="row_0_79_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__atan.html" target="_self">op_atan</a></td><td class="desc">A tag class representing the atan() function </td></tr>
<tr id="row_0_80_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__atan2.html" target="_self">op_atan2</a></td><td class="desc">A tag class representing the atan2() function </td></tr>
<tr id="row_0_81_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__ceil.html" target="_self">op_ceil</a></td><td class="desc">A tag class representing the ceil() function </td></tr>
<tr id="row_0_82_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__col__sum.html" target="_self">op_col_sum</a></td><td class="desc">A tag class representing the summation of all columns of a matrix </td></tr>
<tr id="row_0_83_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__column.html" target="_self">op_column</a></td><td class="desc">A tag class representing the extraction of a matrix column to a vector </td></tr>
<tr id="row_0_84_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__cos.html" target="_self">op_cos</a></td><td class="desc">A tag class representing the cos() function </td></tr>
<tr id="row_0_85_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__cosh.html" target="_self">op_cosh</a></td><td class="desc">A tag class representing the cosh() function </td></tr>
<tr id="row_0_86_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__div.html" target="_self">op_div</a></td><td class="desc">A tag class representing division </td></tr>
<tr id="row_0_87_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__element__binary.html" target="_self">op_element_binary</a></td><td class="desc">A tag class representing element-wise binary operations (like multiplication) on vectors or matrices </td></tr>
<tr id="row_0_88_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__element__cast.html" target="_self">op_element_cast</a></td><td class="desc">A tag class representing element-wise casting operations on vectors and matrices </td></tr>
<tr id="row_0_89_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__element__unary.html" target="_self">op_element_unary</a></td><td class="desc">A tag class representing element-wise unary operations (like sin()) on vectors or matrices </td></tr>
<tr id="row_0_90_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__eq.html" target="_self">op_eq</a></td><td class="desc">A tag class representing equality </td></tr>
<tr id="row_0_91_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__exp.html" target="_self">op_exp</a></td><td class="desc">A tag class representing the exp() function </td></tr>
<tr id="row_0_92_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__fabs.html" target="_self">op_fabs</a></td><td class="desc">A tag class representing the fabs() function </td></tr>
<tr id="row_0_93_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__fdim.html" target="_self">op_fdim</a></td><td class="desc">A tag class representing the fdim() function </td></tr>
<tr id="row_0_94_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__flip__sign.html" target="_self">op_flip_sign</a></td><td class="desc">A tag class representing sign flips (for scalars only. Vectors and matrices use the standard multiplication by the scalar -1.0) </td></tr>
<tr id="row_0_95_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__floor.html" target="_self">op_floor</a></td><td class="desc">A tag class representing the floor() function </td></tr>
<tr id="row_0_96_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__fmax.html" target="_self">op_fmax</a></td><td class="desc">A tag class representing the fmax() function </td></tr>
<tr id="row_0_97_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__fmin.html" target="_self">op_fmin</a></td><td class="desc">A tag class representing the fmin() function </td></tr>
<tr id="row_0_98_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__fmod.html" target="_self">op_fmod</a></td><td class="desc">A tag class representing the fmod() function </td></tr>
<tr id="row_0_99_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__geq.html" target="_self">op_geq</a></td><td class="desc">A tag class representing greater-than-or-equal-to </td></tr>
<tr id="row_0_100_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__greater.html" target="_self">op_greater</a></td><td class="desc">A tag class representing greater-than </td></tr>
<tr id="row_0_101_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__inner__prod.html" target="_self">op_inner_prod</a></td><td class="desc">A tag class representing inner products of two vectors </td></tr>
<tr id="row_0_102_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__inplace__add.html" target="_self">op_inplace_add</a></td><td class="desc">A tag class representing inplace addition </td></tr>
<tr id="row_0_103_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__inplace__sub.html" target="_self">op_inplace_sub</a></td><td class="desc">A tag class representing inplace subtraction </td></tr>
<tr id="row_0_104_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__leq.html" target="_self">op_leq</a></td><td class="desc">A tag class representing less-than-or-equal-to </td></tr>
<tr id="row_0_105_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__less.html" target="_self">op_less</a></td><td class="desc">A tag class representing less-than </td></tr>
<tr id="row_0_106_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__log.html" target="_self">op_log</a></td><td class="desc">A tag class representing the log() function </td></tr>
<tr id="row_0_107_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__log10.html" target="_self">op_log10</a></td><td class="desc">A tag class representing the log10() function </td></tr>
<tr id="row_0_108_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__mat__mat__prod.html" target="_self">op_mat_mat_prod</a></td><td class="desc">A tag class representing matrix-matrix products </td></tr>
<tr id="row_0_109_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__matrix__diag.html" target="_self">op_matrix_diag</a></td><td class="desc">A tag class representing the (off-)diagonal of a matrix </td></tr>
<tr id="row_0_110_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__max.html" target="_self">op_max</a></td><td class="desc">A tag class representing the maximum of a vector </td></tr>
<tr id="row_0_111_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__min.html" target="_self">op_min</a></td><td class="desc">A tag class representing the minimum of a vector </td></tr>
<tr id="row_0_112_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__mult.html" target="_self">op_mult</a></td><td class="desc">A tag class representing multiplication by a scalar </td></tr>
<tr id="row_0_113_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__neq.html" target="_self">op_neq</a></td><td class="desc">A tag class representing inequality </td></tr>
<tr id="row_0_114_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__norm__1.html" target="_self">op_norm_1</a></td><td class="desc">A tag class representing the 1-norm of a vector </td></tr>
<tr id="row_0_115_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__norm__2.html" target="_self">op_norm_2</a></td><td class="desc">A tag class representing the 2-norm of a vector </td></tr>
<tr id="row_0_116_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__norm__frobenius.html" target="_self">op_norm_frobenius</a></td><td class="desc">A tag class representing the Frobenius-norm of a matrix </td></tr>
<tr id="row_0_117_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__norm__inf.html" target="_self">op_norm_inf</a></td><td class="desc">A tag class representing the inf-norm of a vector </td></tr>
<tr id="row_0_118_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__pow.html" target="_self">op_pow</a></td><td class="desc">A tag class representing the power function </td></tr>
<tr id="row_0_119_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__prod.html" target="_self">op_prod</a></td><td class="desc">A tag class representing matrix-vector products and element-wise multiplications </td></tr>
<tr id="row_0_120_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__row.html" target="_self">op_row</a></td><td class="desc">A tag class representing the extraction of a matrix row to a vector </td></tr>
<tr id="row_0_121_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__row__sum.html" target="_self">op_row_sum</a></td><td class="desc">A tag class representing the summation of all rows of a matrix </td></tr>
<tr id="row_0_122_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__sin.html" target="_self">op_sin</a></td><td class="desc">A tag class representing the sin() function </td></tr>
<tr id="row_0_123_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__sinh.html" target="_self">op_sinh</a></td><td class="desc">A tag class representing the sinh() function </td></tr>
<tr id="row_0_124_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__sqrt.html" target="_self">op_sqrt</a></td><td class="desc">A tag class representing the sqrt() function </td></tr>
<tr id="row_0_125_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__sub.html" target="_self">op_sub</a></td><td class="desc">A tag class representing subtraction </td></tr>
<tr id="row_0_126_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__sum.html" target="_self">op_sum</a></td><td class="desc">A tag class representing the summation of a vector </td></tr>
<tr id="row_0_127_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__tan.html" target="_self">op_tan</a></td><td class="desc">A tag class representing the tan() function </td></tr>
<tr id="row_0_128_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__tanh.html" target="_self">op_tanh</a></td><td class="desc">A tag class representing the tanh() function </td></tr>
<tr id="row_0_129_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__trans.html" target="_self">op_trans</a></td><td class="desc">A tag class representing transposed matrices </td></tr>
<tr id="row_0_130_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1op__vector__diag.html" target="_self">op_vector_diag</a></td><td class="desc">A tag class representing a matrix given by a vector placed on a certain (off-)diagonal </td></tr>
<tr id="row_0_131_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1row__iteration.html" target="_self">row_iteration</a></td><td class="desc">A tag indicating iteration along increasing row index of a matrix </td></tr>
<tr id="row_0_132_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1row__major.html" target="_self">row_major</a></td><td class="desc">A tag for row-major storage of a dense matrix </td></tr>
<tr id="row_0_133_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1row__major__tag.html" target="_self">row_major_tag</a></td><td class="desc">Tag class for indicating row-major layout of a matrix. Not passed to the matrix directly, see <a class="el" href="structviennacl_1_1row__major.html" title="A tag for row-major storage of a dense matrix. ">row_major</a> type </td></tr>
<tr id="row_0_134_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar.html" target="_self">scalar</a></td><td class="desc">This class represents a single scalar value on the GPU and behaves mostly like a built-in scalar type like float or double </td></tr>
<tr id="row_0_135_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar__expression.html" target="_self">scalar_expression</a></td><td class="desc">A proxy for scalar expressions (e.g. from inner vector products) </td></tr>
<tr id="row_0_136_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__inner__prod_01_4.html" target="_self">scalar_expression< LHS, RHS, op_inner_prod ></a></td><td class="desc">Specialization of a scalar expression for inner products. Allows for a final reduction on the CPU </td></tr>
<tr id="row_0_137_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__max_01_4.html" target="_self">scalar_expression< LHS, RHS, op_max ></a></td><td class="desc">Specialization of a scalar expression for <a class="el" href="namespaceviennacl_1_1linalg_1_1detail.html#a5d46fe9558b0e462f10fd44942ad4fc6" title="Maximum. ">max()</a>. Allows for a final reduction on the CPU </td></tr>
<tr id="row_0_138_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__min_01_4.html" target="_self">scalar_expression< LHS, RHS, op_min ></a></td><td class="desc">Specialization of a scalar expression for norm_inf. Allows for a final reduction on the CPU </td></tr>
<tr id="row_0_139_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__norm__1_01_4.html" target="_self">scalar_expression< LHS, RHS, op_norm_1 ></a></td><td class="desc">Specialization of a scalar expression for norm_1. Allows for a final reduction on the CPU </td></tr>
<tr id="row_0_140_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__norm__2_01_4.html" target="_self">scalar_expression< LHS, RHS, op_norm_2 ></a></td><td class="desc">Specialization of a scalar expression for norm_2. Allows for a final reduction on the CPU </td></tr>
<tr id="row_0_141_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__norm__frobenius_01_4.html" target="_self">scalar_expression< LHS, RHS, op_norm_frobenius ></a></td><td class="desc">Specialization of a scalar expression for norm_frobenius. Allows for a final reduction on the CPU </td></tr>
<tr id="row_0_142_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__norm__inf_01_4.html" target="_self">scalar_expression< LHS, RHS, op_norm_inf ></a></td><td class="desc">Specialization of a scalar expression for norm_inf. Allows for a final reduction on the CPU </td></tr>
<tr id="row_0_143_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__sum_01_4.html" target="_self">scalar_expression< LHS, RHS, op_sum ></a></td><td class="desc">Specialization of a scalar expression for norm_inf. Allows for a final reduction on the CPU </td></tr>
<tr id="row_0_144_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1scalar__matrix.html" target="_self">scalar_matrix</a></td><td class="desc">Represents a vector consisting of scalars 's' only, i.e. v[i] = s for all i. To be used as an initializer for <a class="el" href="classviennacl_1_1vector.html">viennacl::vector</a>, <a class="el" href="classviennacl_1_1vector__range.html" title="Class for representing non-strided subvectors of a bigger vector x. ">vector_range</a>, or vector_slize only </td></tr>
<tr id="row_0_145_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1scalar__vector.html" target="_self">scalar_vector</a></td><td class="desc">Represents a vector consisting of scalars 's' only, i.e. v[i] = s for all i. To be used as an initializer for <a class="el" href="classviennacl_1_1vector.html">viennacl::vector</a>, <a class="el" href="classviennacl_1_1vector__range.html" title="Class for representing non-strided subvectors of a bigger vector x. ">vector_range</a>, or vector_slize only </td></tr>
<tr id="row_0_146_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1sliced__ell__matrix.html" target="_self">sliced_ell_matrix</a></td><td class="desc">Sparse matrix class using the sliced ELLPACK with parameters C, <img class="formulaInl" alt="$ \sigma $" src="form_0.png"/> </td></tr>
<tr id="row_0_147_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tag__eigen.html" target="_self">tag_eigen</a></td><td class="desc">A tag class for identifying types from Eigen </td></tr>
<tr id="row_0_148_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tag__mtl4.html" target="_self">tag_mtl4</a></td><td class="desc">A tag class for identifying types from MTL4 </td></tr>
<tr id="row_0_149_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tag__none.html" target="_self">tag_none</a></td><td class="desc">A tag class for identifying 'unknown' types </td></tr>
<tr id="row_0_150_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tag__stl.html" target="_self">tag_stl</a></td><td class="desc">A tag class for identifying types from the C++ STL </td></tr>
<tr id="row_0_151_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tag__ublas.html" target="_self">tag_ublas</a></td><td class="desc">A tag class for identifying types from uBLAS </td></tr>
<tr id="row_0_152_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1tag__viennacl.html" target="_self">tag_viennacl</a></td><td class="desc">A tag class for identifying types from ViennaCL </td></tr>
<tr id="row_0_153_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1toeplitz__matrix.html" target="_self">toeplitz_matrix</a></td><td class="desc">A Toeplitz matrix class </td></tr>
<tr id="row_0_154_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1unit__vector.html" target="_self">unit_vector</a></td><td class="desc">Represents a vector consisting of 1 at a given index and zeros otherwise </td></tr>
<tr id="row_0_155_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1unknown__norm__exception.html" target="_self">unknown_norm_exception</a></td><td class="desc"></td></tr>
<tr id="row_0_156_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1vandermonde__matrix.html" target="_self">vandermonde_matrix</a></td><td class="desc">A Vandermonde matrix class </td></tr>
<tr id="row_0_157_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1vector.html" target="_self">vector</a></td><td class="desc"></td></tr>
<tr id="row_0_158_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1vector__base.html" target="_self">vector_base</a></td><td class="desc">Common base class for dense vectors, vector ranges, and vector slices </td></tr>
<tr id="row_0_159_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1vector__expression.html" target="_self">vector_expression</a></td><td class="desc">An expression template class that represents a binary operation that yields a vector </td></tr>
<tr id="row_0_160_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1vector__iterator.html" target="_self">vector_iterator</a></td><td class="desc">A STL-type iterator for vector elements. Elements can be accessed and manipulated. VERY SLOW!! </td></tr>
<tr id="row_0_161_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1vector__range.html" target="_self">vector_range</a></td><td class="desc">Class for representing non-strided subvectors of a bigger vector x </td></tr>
<tr id="row_0_162_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1vector__range_3_01vector__range_3_01_vector_type_01_4_01_4.html" target="_self">vector_range< vector_range< VectorType > ></a></td><td class="desc"></td></tr>
<tr id="row_0_163_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1vector__slice.html" target="_self">vector_slice</a></td><td class="desc">Class for representing strided subvectors of a bigger vector x </td></tr>
<tr id="row_0_164_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1vector__slice_3_01vector__slice_3_01_vector_type_01_4_01_4.html" target="_self">vector_slice< vector_slice< VectorType > ></a></td><td class="desc"></td></tr>
<tr id="row_0_165_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1vector__tuple.html" target="_self">vector_tuple</a></td><td class="desc">Tuple class holding pointers to multiple vectors. Mainly used as a temporary object returned from <a class="el" href="namespaceviennacl.html#a18c575b08038eb6af18fe1b89e4022ba">viennacl::tie()</a> </td></tr>
<tr id="row_0_166_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1zero__matrix.html" target="_self">zero_matrix</a></td><td class="desc">Represents a vector consisting of zeros only. To be used as an initializer for <a class="el" href="classviennacl_1_1vector.html">viennacl::vector</a>, <a class="el" href="classviennacl_1_1vector__range.html" title="Class for representing non-strided subvectors of a bigger vector x. ">vector_range</a>, or vector_slize only </td></tr>
<tr id="row_0_167_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classviennacl_1_1zero__on__diagonal__exception.html" target="_self">zero_on_diagonal_exception</a></td><td class="desc"></td></tr>
<tr id="row_0_168_" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structviennacl_1_1zero__vector.html" target="_self">zero_vector</a></td><td class="desc"></td></tr>
<tr id="row_1_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classdense__matrix.html" target="_self">dense_matrix</a></td><td class="desc"></td></tr>
<tr id="row_2_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structmatrix__maker.html" target="_self">matrix_maker</a></td><td class="desc"></td></tr>
<tr id="row_3_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structmatrix__maker_3_01boost_1_1numeric_1_1ublas_1_1matrix_3_01_t_01_4_00_01_f_01_4.html" target="_self">matrix_maker< boost::numeric::ublas::matrix< T >, F ></a></td><td class="desc"></td></tr>
<tr id="row_4_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structmatrix__maker_3_01boost_1_1numeric_1_1ublas_1_1matrix__range_3_01_matrix_t_01_4_00_01_f_01_4.html" target="_self">matrix_maker< boost::numeric::ublas::matrix_range< MatrixT >, F ></a></td><td class="desc"></td></tr>
<tr id="row_5_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structmatrix__maker_3_01boost_1_1numeric_1_1ublas_1_1matrix__slice_3_01_matrix_t_01_4_00_01_f_01_4.html" target="_self">matrix_maker< boost::numeric::ublas::matrix_slice< MatrixT >, F ></a></td><td class="desc"></td></tr>
<tr id="row_6_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classmy__inserter.html" target="_self">my_inserter</a></td><td class="desc"></td></tr>
<tr id="row_7_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structop__assign.html" target="_self">op_assign</a></td><td class="desc"></td></tr>
<tr id="row_8_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structop__minus__assign.html" target="_self">op_minus_assign</a></td><td class="desc"></td></tr>
<tr id="row_9_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structop__plus__assign.html" target="_self">op_plus_assign</a></td><td class="desc"></td></tr>
<tr id="row_10_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtest_data.html" target="_self">testData</a></td><td class="desc"></td></tr>
<tr id="row_11_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classvector__proxy.html" target="_self">vector_proxy</a></td><td class="desc"></td></tr>
<tr id="row_12_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="struct_vienna_c_l_backend__impl.html" target="_self">ViennaCLBackend_impl</a></td><td class="desc">Generic backend for CUDA, OpenCL, host-based stuff </td></tr>
<tr id="row_13_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="struct_vienna_c_l_c_u_d_a_backend__impl.html" target="_self">ViennaCLCUDABackend_impl</a></td><td class="desc"></td></tr>
<tr id="row_14_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="struct_vienna_c_l_host_backend__impl.html" target="_self">ViennaCLHostBackend_impl</a></td><td class="desc"></td></tr>
<tr id="row_15_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="struct_vienna_c_l_host_scalar__impl.html" target="_self">ViennaCLHostScalar_impl</a></td><td class="desc"></td></tr>
<tr id="row_16_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="struct_vienna_c_l_matrix__impl.html" target="_self">ViennaCLMatrix_impl</a></td><td class="desc"></td></tr>
<tr id="row_17_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="struct_vienna_c_l_open_c_l_backend__impl.html" target="_self">ViennaCLOpenCLBackend_impl</a></td><td class="desc"></td></tr>
<tr id="row_18_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="struct_vienna_c_l_scalar__impl.html" target="_self">ViennaCLScalar_impl</a></td><td class="desc"></td></tr>
<tr id="row_19_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="struct_vienna_c_l_vector__impl.html" target="_self">ViennaCLVector_impl</a></td><td class="desc"></td></tr>
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