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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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<tr id="row_3_4_1_2_1_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="chow__patel__ilu_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="chow__patel__ilu_8hpp.html" target="_self">chow_patel_ilu.hpp</a></td><td class="desc">Implementations of incomplete factorization preconditioners with fine-grained parallelism </td></tr>
<tr id="row_3_4_1_2_2_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2detail_2ilu_2common_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2detail_2ilu_2common_8hpp.html" target="_self">common.hpp</a></td><td class="desc">Common routines used within ILU-type preconditioners </td></tr>
<tr id="row_3_4_1_2_3_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="ilu0_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="ilu0_8hpp.html" target="_self">ilu0.hpp</a></td><td class="desc">Implementations of incomplete factorization preconditioners with static nonzero pattern </td></tr>
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<tr id="row_3_4_1_3_0_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="block__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="block__matrix_8hpp.html" target="_self">block_matrix.hpp</a></td><td class="desc">Implementation of a bunch of (small) matrices on GPU. Experimental </td></tr>
<tr id="row_3_4_1_3_1_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="block__vector_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="block__vector_8hpp.html" target="_self">block_vector.hpp</a></td><td class="desc">Implementation of a bunch of vectors on GPU. Experimental </td></tr>
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<tr id="row_3_4_1_3_4_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="small__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="small__matrix_8hpp.html" target="_self">small_matrix.hpp</a></td><td class="desc">Implementation of a routines for small matrices (helper for SPAI). Experimental </td></tr>
<tr id="row_3_4_1_3_5_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="spai-dynamic_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="spai-dynamic_8hpp.html" target="_self">spai-dynamic.hpp</a></td><td class="desc">Implementation of a dynamic SPAI. Provides the routines for automatic pattern updates Experimental </td></tr>
<tr id="row_3_4_1_3_6_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="spai-static_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="spai-static_8hpp.html" target="_self">spai-static.hpp</a></td><td class="desc">Implementation of a static SPAI. Experimental </td></tr>
<tr id="row_3_4_1_3_7_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="detail_2spai_2spai_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="detail_2spai_2spai_8hpp.html" target="_self">spai.hpp</a></td><td class="desc">Main implementation of SPAI (not FSPAI). Experimental </td></tr>
<tr id="row_3_4_1_3_8_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="spai__tag_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="spai__tag_8hpp.html" target="_self">spai_tag.hpp</a></td><td class="desc">Implementation of the spai tag holding SPAI configuration parameters. Experimental </td></tr>
<tr id="row_3_4_1_3_9_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="sparse__vector_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="sparse__vector_8hpp.html" target="_self">sparse_vector.hpp</a></td><td class="desc">Implementation of a helper sparse vector class for SPAI. Experimental </td></tr>
<tr id="row_3_4_1_4_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="op__applier_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="op__applier_8hpp.html" target="_self">op_applier.hpp</a></td><td class="desc">Defines the action of certain unary and binary operators and its arguments (for host execution) </td></tr>
<tr id="row_3_4_1_5_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="op__executor_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="op__executor_8hpp.html" target="_self">op_executor.hpp</a></td><td class="desc">Defines the worker class for decomposing an expression tree into small chunks, which can be processed by the predefined operations in ViennaCL </td></tr>
<tr id="row_3_4_2_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_3_4_2_" class="arrow" onclick="toggleFolder('3_4_2_')">►</span><span id="img_3_4_2_" class="iconfclosed" onclick="toggleFolder('3_4_2_')"> </span><a class="el" href="dir_8d734bf48796b8afc2ea3e50ddaea273.html" target="_self">host_based</a></td><td class="desc"></td></tr>
<tr id="row_3_4_2_0_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2amg__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2amg__operations_8hpp.html" target="_self">amg_operations.hpp</a></td><td class="desc">Implementations of routines for AMG using the CPU on the host (with OpenMP if enabled) </td></tr>
<tr id="row_3_4_2_1_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="linalg_2host__based_2common_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2host__based_2common_8hpp.html" target="_self">common.hpp</a></td><td class="desc">Common routines for single-threaded or OpenMP-enabled execution on CPU </td></tr>
<tr id="row_3_4_2_2_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2direct__solve_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2direct__solve_8hpp.html" target="_self">direct_solve.hpp</a></td><td class="desc">Implementations of dense direct triangular solvers are found here </td></tr>
<tr id="row_3_4_2_3_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2fft__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2fft__operations_8hpp.html" target="_self">fft_operations.hpp</a></td><td class="desc">Implementations of Fast Furier Transformation using a plain single-threaded or OpenMP-enabled execution on CPU </td></tr>
<tr id="row_3_4_2_4_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2ilu__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2ilu__operations_8hpp.html" target="_self">ilu_operations.hpp</a></td><td class="desc">Implementations of specialized routines for the Chow-Patel parallel ILU preconditioner using the host (OpenMP) </td></tr>
<tr id="row_3_4_2_5_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2iterative__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2iterative__operations_8hpp.html" target="_self">iterative_operations.hpp</a></td><td class="desc">Implementations of specialized kernels for fast iterative solvers using OpenMP on the CPU </td></tr>
<tr id="row_3_4_2_6_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2matrix__operations_8hpp.html" target="_self">matrix_operations.hpp</a></td><td class="desc">Implementations of dense matrix related operations, including matrix-vector products, using a plain single-threaded or OpenMP-enabled execution on CPU </td></tr>
<tr id="row_3_4_2_7_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2misc__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2misc__operations_8hpp.html" target="_self">misc_operations.hpp</a></td><td class="desc">Implementations of miscellaneous operations on the CPU using a single thread or OpenMP </td></tr>
<tr id="row_3_4_2_8_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2nmf__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2nmf__operations_8hpp.html" target="_self">nmf_operations.hpp</a></td><td class="desc"></td></tr>
<tr id="row_3_4_2_9_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2scalar__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2scalar__operations_8hpp.html" target="_self">scalar_operations.hpp</a></td><td class="desc">Implementations of scalar operations using a plain single-threaded or OpenMP-enabled execution on CPU </td></tr>
<tr id="row_3_4_2_10_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2sparse__matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2sparse__matrix__operations_8hpp.html" target="_self">sparse_matrix_operations.hpp</a></td><td class="desc">Implementations of operations using sparse matrices on the CPU using a single thread or OpenMP </td></tr>
<tr id="row_3_4_2_11_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="spgemm__vector_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="spgemm__vector_8hpp.html" target="_self">spgemm_vector.hpp</a></td><td class="desc"></td></tr>
<tr id="row_3_4_2_12_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="host__based_2vector__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="host__based_2vector__operations_8hpp.html" target="_self">vector_operations.hpp</a></td><td class="desc">Implementations of NMF operations using a plain single-threaded or OpenMP-enabled execution on CPU </td></tr>
<tr id="row_3_4_3_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span id="arr_3_4_3_" class="arrow" onclick="toggleFolder('3_4_3_')">►</span><span id="img_3_4_3_" class="iconfclosed" onclick="toggleFolder('3_4_3_')"> </span><a class="el" href="dir_9df590563da805a074404567c6e27abf.html" target="_self">opencl</a></td><td class="desc"></td></tr>
<tr id="row_3_4_3_0_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span id="arr_3_4_3_0_" class="arrow" onclick="toggleFolder('3_4_3_0_')">►</span><span id="img_3_4_3_0_" class="iconfclosed" onclick="toggleFolder('3_4_3_0_')"> </span><a class="el" href="dir_19b91ce24010a277ae42e0f12bdd020d.html" target="_self">kernels</a></td><td class="desc"></td></tr>
<tr id="row_3_4_3_0_0_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="opencl_2kernels_2amg_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2kernels_2amg_8hpp.html" target="_self">amg.hpp</a></td><td class="desc">OpenCL kernel file for operations related to algebraic multigrid </td></tr>
<tr id="row_3_4_3_0_1_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="opencl_2kernels_2bisect_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2kernels_2bisect_8hpp.html" target="_self">bisect.hpp</a></td><td class="desc">OpenCL kernels for the bisection algorithm for eigenvalues </td></tr>
<tr id="row_3_4_3_0_2_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2opencl_2kernels_2compressed__compressed__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2kernels_2compressed__compressed__matrix_8hpp.html" target="_self">compressed_compressed_matrix.hpp</a></td><td class="desc">OpenCL kernel file for vector operations </td></tr>
<tr id="row_3_4_3_0_3_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2opencl_2kernels_2compressed__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2kernels_2compressed__matrix_8hpp.html" target="_self">compressed_matrix.hpp</a></td><td class="desc">OpenCL kernel file for compressed_matrix operations </td></tr>
<tr id="row_3_4_3_0_4_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2opencl_2kernels_2coordinate__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2kernels_2coordinate__matrix_8hpp.html" target="_self">coordinate_matrix.hpp</a></td><td class="desc">OpenCL kernel file for coordinate_matrix operations </td></tr>
<tr id="row_3_4_3_0_5_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2opencl_2kernels_2ell__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2kernels_2ell__matrix_8hpp.html" target="_self">ell_matrix.hpp</a></td><td class="desc">OpenCL kernel file for ell_matrix operations </td></tr>
<tr id="row_3_4_3_0_6_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2opencl_2kernels_2fft_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2kernels_2fft_8hpp.html" target="_self">fft.hpp</a></td><td class="desc">OpenCL kernel file for FFT operations </td></tr>
<tr id="row_3_4_3_0_7_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2opencl_2kernels_2hyb__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2kernels_2hyb__matrix_8hpp.html" target="_self">hyb_matrix.hpp</a></td><td class="desc">OpenCL kernel file for hyb_matrix operations </td></tr>
<tr id="row_3_4_3_0_8_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="opencl_2kernels_2ilu_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2kernels_2ilu_8hpp.html" target="_self">ilu.hpp</a></td><td class="desc">OpenCL kernel file for nonnegative matrix factorization </td></tr>
<tr id="row_3_4_3_0_9_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="iterative_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="iterative_8hpp.html" target="_self">iterative.hpp</a></td><td class="desc">OpenCL kernel file for specialized iterative solver kernels </td></tr>
<tr id="row_3_4_3_0_10_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2opencl_2kernels_2matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2kernels_2matrix_8hpp.html" target="_self">matrix.hpp</a></td><td class="desc">Runtime generation of OpenCL kernels for matrix operations </td></tr>
<tr id="row_3_4_3_0_11_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="matrix__element_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="matrix__element_8hpp.html" target="_self">matrix_element.hpp</a></td><td class="desc">OpenCL kernel file for element-wise matrix operations </td></tr>
<tr id="row_3_4_3_0_12_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="matrix__solve_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="matrix__solve_8hpp.html" target="_self">matrix_solve.hpp</a></td><td class="desc">OpenCL kernel file for dense matrix solves with multiple right hand side (BLAS level 3) </td></tr>
<tr id="row_3_4_3_0_13_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="opencl_2kernels_2nmf_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2kernels_2nmf_8hpp.html" target="_self">nmf.hpp</a></td><td class="desc">OpenCL kernel file for nonnegative matrix factorization </td></tr>
<tr id="row_3_4_3_0_14_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2opencl_2kernels_2scalar_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2kernels_2scalar_8hpp.html" target="_self">scalar.hpp</a></td><td class="desc">OpenCL kernel file for scalar operations </td></tr>
<tr id="row_3_4_3_0_15_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="scan_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="scan_8hpp.html" target="_self">scan.hpp</a></td><td class="desc">OpenCL kernel file for scan operations. To be merged back to vector operations </td></tr>
<tr id="row_3_4_3_0_16_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2opencl_2kernels_2sliced__ell__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2kernels_2sliced__ell__matrix_8hpp.html" target="_self">sliced_ell_matrix.hpp</a></td><td class="desc">OpenCL kernel file for sliced_ell_matrix operations </td></tr>
<tr id="row_3_4_3_0_17_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="opencl_2kernels_2spai_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2kernels_2spai_8hpp.html" target="_self">spai.hpp</a></td><td class="desc">OpenCL kernel file for sparse approximate inverse operations </td></tr>
<tr id="row_3_4_3_0_18_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="opencl_2kernels_2svd_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2kernels_2svd_8hpp.html" target="_self">svd.hpp</a></td><td class="desc">OpenCL kernel file for singular value decomposition </td></tr>
<tr id="row_3_4_3_0_19_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="linalg_2opencl_2kernels_2vector_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2kernels_2vector_8hpp.html" target="_self">vector.hpp</a></td><td class="desc">OpenCL kernel file for vector operations </td></tr>
<tr id="row_3_4_3_0_20_" class="even" style="display:none;"><td class="entry"><span style="width:80px;display:inline-block;"> </span><a href="vector__element_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="vector__element_8hpp.html" target="_self">vector_element.hpp</a></td><td class="desc">OpenCL kernel file for element-wise vector operations </td></tr>
<tr id="row_3_4_3_1_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2amg__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2amg__operations_8hpp.html" target="_self">amg_operations.hpp</a></td><td class="desc">Implementations of routines for AMG in OpenCL </td></tr>
<tr id="row_3_4_3_2_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2bisect__kernel__calls_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2bisect__kernel__calls_8hpp.html" target="_self">bisect_kernel_calls.hpp</a></td><td class="desc">OpenCL kernel calls for the bisection algorithm </td></tr>
<tr id="row_3_4_3_3_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="linalg_2opencl_2common_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="linalg_2opencl_2common_8hpp.html" target="_self">common.hpp</a></td><td class="desc">Common implementations shared by OpenCL-based operations </td></tr>
<tr id="row_3_4_3_4_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2direct__solve_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2direct__solve_8hpp.html" target="_self">direct_solve.hpp</a></td><td class="desc">Implementations of dense direct solvers are found here </td></tr>
<tr id="row_3_4_3_5_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2fft__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2fft__operations_8hpp.html" target="_self">fft_operations.hpp</a></td><td class="desc">Implementations of Fast Furier Transformation using OpenCL </td></tr>
<tr id="row_3_4_3_6_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2ilu__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2ilu__operations_8hpp.html" target="_self">ilu_operations.hpp</a></td><td class="desc">Implementations of specialized routines for the Chow-Patel parallel ILU preconditioner using OpenCL </td></tr>
<tr id="row_3_4_3_7_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2iterative__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2iterative__operations_8hpp.html" target="_self">iterative_operations.hpp</a></td><td class="desc">Implementations of specialized kernels for fast iterative solvers using OpenCL </td></tr>
<tr id="row_3_4_3_8_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2matrix__operations_8hpp.html" target="_self">matrix_operations.hpp</a></td><td class="desc">Implementations of dense matrix related operations, including matrix-vector products, using OpenCL </td></tr>
<tr id="row_3_4_3_9_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2misc__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2misc__operations_8hpp.html" target="_self">misc_operations.hpp</a></td><td class="desc">Implementations of operations using compressed_matrix and OpenCL </td></tr>
<tr id="row_3_4_3_10_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2nmf__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2nmf__operations_8hpp.html" target="_self">nmf_operations.hpp</a></td><td class="desc"></td></tr>
<tr id="row_3_4_3_11_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2scalar__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2scalar__operations_8hpp.html" target="_self">scalar_operations.hpp</a></td><td class="desc">Implementations of scalar operations using OpenCL </td></tr>
<tr id="row_3_4_3_12_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2sparse__matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2sparse__matrix__operations_8hpp.html" target="_self">sparse_matrix_operations.hpp</a></td><td class="desc">Implementations of operations using sparse matrices and OpenCL </td></tr>
<tr id="row_3_4_3_13_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2vandermonde__matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2vandermonde__matrix__operations_8hpp.html" target="_self">vandermonde_matrix_operations.hpp</a></td><td class="desc">Implementations of operations using vandermonde_matrix </td></tr>
<tr id="row_3_4_3_14_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;"> </span><a href="opencl_2vector__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="opencl_2vector__operations_8hpp.html" target="_self">vector_operations.hpp</a></td><td class="desc">Implementations of NMF operations using OpenCL </td></tr>
<tr id="row_3_4_4_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="amg_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="amg_8hpp.html" target="_self">amg.hpp</a></td><td class="desc">Main include file for algebraic multigrid (AMG) preconditioners. Experimental </td></tr>
<tr id="row_3_4_5_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="amg__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="amg__operations_8hpp.html" target="_self">amg_operations.hpp</a></td><td class="desc">Implementations of operations for algebraic multigrid </td></tr>
<tr id="row_3_4_6_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="bicgstab_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="bicgstab_8hpp.html" target="_self">bicgstab.hpp</a></td><td class="desc">The stabilized bi-conjugate gradient method is implemented here </td></tr>
<tr id="row_3_4_7_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="bisect_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="bisect_8hpp.html" target="_self">bisect.hpp</a></td><td class="desc">Implementation of the algorithm for finding eigenvalues of a tridiagonal matrix </td></tr>
<tr id="row_3_4_8_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="bisect__gpu_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="bisect__gpu_8hpp.html" target="_self">bisect_gpu.hpp</a></td><td class="desc">Implementation of an bisection algorithm for eigenvalues </td></tr>
<tr id="row_3_4_9_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="cg_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="cg_8hpp.html" target="_self">cg.hpp</a></td><td class="desc">The conjugate gradient method is implemented here </td></tr>
<tr id="row_3_4_10_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="circulant__matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="circulant__matrix__operations_8hpp.html" target="_self">circulant_matrix_operations.hpp</a></td><td class="desc">Implementations of operations using circulant_matrix. Experimental </td></tr>
<tr id="row_3_4_11_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="direct__solve_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="direct__solve_8hpp.html" target="_self">direct_solve.hpp</a></td><td class="desc">Implementations of dense direct solvers are found here </td></tr>
<tr id="row_3_4_12_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="eig_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="eig_8hpp.html" target="_self">eig.hpp</a></td><td class="desc">Convenience header file including all available eigenvalue algorithms </td></tr>
<tr id="row_3_4_13_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="fft__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="fft__operations_8hpp.html" target="_self">fft_operations.hpp</a></td><td class="desc">Implementations of Fast Furier Transformation </td></tr>
<tr id="row_3_4_14_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="gmres_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="gmres_8hpp.html" target="_self">gmres.hpp</a></td><td class="desc">Implementations of the generalized minimum residual method are in this file </td></tr>
<tr id="row_3_4_15_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="hankel__matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="hankel__matrix__operations_8hpp.html" target="_self">hankel_matrix_operations.hpp</a></td><td class="desc">Implementations of operations using hankel_matrix. Experimental </td></tr>
<tr id="row_3_4_16_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="ichol_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="ichol_8hpp.html" target="_self">ichol.hpp</a></td><td class="desc">Implementations of incomplete Cholesky factorization preconditioners with static nonzero pattern </td></tr>
<tr id="row_3_4_17_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="ilu_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="ilu_8hpp.html" target="_self">ilu.hpp</a></td><td class="desc">Implementations of incomplete factorization preconditioners. Convenience header file </td></tr>
<tr id="row_3_4_18_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="ilu__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="ilu__operations_8hpp.html" target="_self">ilu_operations.hpp</a></td><td class="desc">Implementations of specialized routines for the Chow-Patel parallel ILU preconditioner </td></tr>
<tr id="row_3_4_19_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="inner__prod_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="inner__prod_8hpp.html" target="_self">inner_prod.hpp</a></td><td class="desc">Generic interface for the computation of inner products. See <a class="el" href="vector__operations_8hpp.html" title="Implementations of vector operations. ">viennacl/linalg/vector_operations.hpp</a> for implementations </td></tr>
<tr id="row_3_4_20_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="iterative__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="iterative__operations_8hpp.html" target="_self">iterative_operations.hpp</a></td><td class="desc">Implementations of specialized routines for the iterative solvers </td></tr>
<tr id="row_3_4_21_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="jacobi__precond_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="jacobi__precond_8hpp.html" target="_self">jacobi_precond.hpp</a></td><td class="desc">Implementation of a simple Jacobi preconditioner </td></tr>
<tr id="row_3_4_22_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="lanczos_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="lanczos_8hpp.html" target="_self">lanczos.hpp</a></td><td class="desc">Generic interface for the Lanczos algorithm </td></tr>
<tr id="row_3_4_23_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="lu_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="lu_8hpp.html" target="_self">lu.hpp</a></td><td class="desc">Implementations of LU factorization for row-major and column-major dense matrices </td></tr>
<tr id="row_3_4_24_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="matrix__operations_8hpp.html" target="_self">matrix_operations.hpp</a></td><td class="desc">Implementations of dense matrix related operations including matrix-vector products </td></tr>
<tr id="row_3_4_25_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="maxmin_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="maxmin_8hpp.html" target="_self">maxmin.hpp</a></td><td class="desc"></td></tr>
<tr id="row_3_4_26_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="misc__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="misc__operations_8hpp.html" target="_self">misc_operations.hpp</a></td><td class="desc">Implementations of miscellaneous operations </td></tr>
<tr id="row_3_4_27_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="mixed__precision__cg_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="mixed__precision__cg_8hpp.html" target="_self">mixed_precision_cg.hpp</a></td><td class="desc">The conjugate gradient method using mixed precision is implemented here. Experimental </td></tr>
<tr id="row_3_4_28_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="nmf_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="nmf_8hpp.html" target="_self">nmf.hpp</a></td><td class="desc">Provides a nonnegative matrix factorization implementation. Experimental </td></tr>
<tr id="row_3_4_29_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="norm__1_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="norm__1_8hpp.html" target="_self">norm_1.hpp</a></td><td class="desc">Generic interface for the l^1-norm. See <a class="el" href="vector__operations_8hpp.html" title="Implementations of vector operations. ">viennacl/linalg/vector_operations.hpp</a> for implementations </td></tr>
<tr id="row_3_4_30_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="norm__2_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="norm__2_8hpp.html" target="_self">norm_2.hpp</a></td><td class="desc">Generic interface for the l^2-norm. See <a class="el" href="vector__operations_8hpp.html" title="Implementations of vector operations. ">viennacl/linalg/vector_operations.hpp</a> for implementations </td></tr>
<tr id="row_3_4_31_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="norm__frobenius_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="norm__frobenius_8hpp.html" target="_self">norm_frobenius.hpp</a></td><td class="desc">Generic interface for the Frobenius norm </td></tr>
<tr id="row_3_4_32_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="norm__inf_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="norm__inf_8hpp.html" target="_self">norm_inf.hpp</a></td><td class="desc">Generic interface for the l^infty-norm. See <a class="el" href="vector__operations_8hpp.html" title="Implementations of vector operations. ">viennacl/linalg/vector_operations.hpp</a> for implementations </td></tr>
<tr id="row_3_4_33_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="power__iter_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="power__iter_8hpp.html" target="_self">power_iter.hpp</a></td><td class="desc">Defines a tag for the configuration of the power iteration method </td></tr>
<tr id="row_3_4_34_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="prod_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="prod_8hpp.html" target="_self">prod.hpp</a></td><td class="desc">Generic interface for matrix-vector and matrix-matrix products. See <a class="el" href="vector__operations_8hpp.html" title="Implementations of vector operations. ">viennacl/linalg/vector_operations.hpp</a>, <a class="el" href="matrix__operations_8hpp.html" title="Implementations of dense matrix related operations including matrix-vector products. ">viennacl/linalg/matrix_operations.hpp</a>, and <a class="el" href="sparse__matrix__operations_8hpp.html" title="Implementations of operations using sparse matrices. ">viennacl/linalg/sparse_matrix_operations.hpp</a> for implementations </td></tr>
<tr id="row_3_4_35_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="qr-method-common_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="qr-method-common_8hpp.html" target="_self">qr-method-common.hpp</a></td><td class="desc">Common routines used for the QR method and SVD. Experimental </td></tr>
<tr id="row_3_4_36_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="qr-method_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="qr-method_8hpp.html" target="_self">qr-method.hpp</a></td><td class="desc">Implementation of the QR method for eigenvalue computations. Experimental </td></tr>
<tr id="row_3_4_37_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="qr_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="qr_8hpp.html" target="_self">qr.hpp</a></td><td class="desc">Provides a QR factorization using a block-based approach </td></tr>
<tr id="row_3_4_38_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="row__scaling_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="row__scaling_8hpp.html" target="_self">row_scaling.hpp</a></td><td class="desc">A row normalization preconditioner is implemented here </td></tr>
<tr id="row_3_4_39_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="scalar__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="scalar__operations_8hpp.html" target="_self">scalar_operations.hpp</a></td><td class="desc">Implementations of scalar operations </td></tr>
<tr id="row_3_4_40_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="spai_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="spai_8hpp.html" target="_self">spai.hpp</a></td><td class="desc">Main include file for the sparse approximate inverse preconditioner family (SPAI and FSPAI). Experimental </td></tr>
<tr id="row_3_4_41_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="sparse__matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="sparse__matrix__operations_8hpp.html" target="_self">sparse_matrix_operations.hpp</a></td><td class="desc">Implementations of operations using sparse matrices </td></tr>
<tr id="row_3_4_42_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="sum_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="sum_8hpp.html" target="_self">sum.hpp</a></td><td class="desc">Stub routines for the summation of elements in a vector, or all elements in either a row or column of a dense matrix </td></tr>
<tr id="row_3_4_43_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="svd_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="svd_8hpp.html" target="_self">svd.hpp</a></td><td class="desc">Provides singular value decomposition using a block-based approach. Experimental </td></tr>
<tr id="row_3_4_44_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="toeplitz__matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="toeplitz__matrix__operations_8hpp.html" target="_self">toeplitz_matrix_operations.hpp</a></td><td class="desc">Implementations of operations using toeplitz_matrix. Experimental </td></tr>
<tr id="row_3_4_45_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="tql2_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="tql2_8hpp.html" target="_self">tql2.hpp</a></td><td class="desc">Implementation of the tql2-algorithm for eigenvalue computations </td></tr>
<tr id="row_3_4_46_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="vandermonde__matrix__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="vandermonde__matrix__operations_8hpp.html" target="_self">vandermonde_matrix_operations.hpp</a></td><td class="desc">Implementations of operations using vandermonde_matrix. Experimental </td></tr>
<tr id="row_3_4_47_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="vector__operations_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="vector__operations_8hpp.html" target="_self">vector_operations.hpp</a></td><td class="desc">Implementations of vector operations </td></tr>
<tr id="row_3_5_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_3_5_" class="arrow" onclick="toggleFolder('3_5_')">►</span><span id="img_3_5_" class="iconfclosed" onclick="toggleFolder('3_5_')"> </span><a class="el" href="dir_cefc9203477f333ab105ea8579c62693.html" target="_self">meta</a></td><td class="desc"></td></tr>
<tr id="row_3_5_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="enable__if_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="enable__if_8hpp.html" target="_self">enable_if.hpp</a></td><td class="desc">Simple enable-if variant that uses the SFINAE pattern </td></tr>
<tr id="row_3_5_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="predicate_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="predicate_8hpp.html" target="_self">predicate.hpp</a></td><td class="desc">All the predicates used within ViennaCL. Checks for expressions to be vectors, etc </td></tr>
<tr id="row_3_5_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="result__of_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="result__of_8hpp.html" target="_self">result_of.hpp</a></td><td class="desc">A collection of compile time type deductions </td></tr>
<tr id="row_3_5_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="tag__of_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="tag__of_8hpp.html" target="_self">tag_of.hpp</a></td><td class="desc">Dispatch facility for distinguishing between ublas, STL and ViennaCL types </td></tr>
<tr id="row_3_6_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_3_6_" class="arrow" onclick="toggleFolder('3_6_')">►</span><span id="img_3_6_" class="iconfclosed" onclick="toggleFolder('3_6_')"> </span><a class="el" href="dir_8e9f3cc091f3e773a2961f7e1b2269a2.html" target="_self">misc</a></td><td class="desc"></td></tr>
<tr id="row_3_6_0_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="bandwidth__reduction_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="bandwidth__reduction_8hpp.html" target="_self">bandwidth_reduction.hpp</a></td><td class="desc">Convenience include for bandwidth reduction algorithms such as Cuthill-McKee or Gibbs-Poole-Stockmeyer. Experimental </td></tr>
<tr id="row_3_6_1_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="cuthill__mckee_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="cuthill__mckee_8hpp.html" target="_self">cuthill_mckee.hpp</a></td><td class="desc">Implementation of several flavors of the Cuthill-McKee algorithm. Experimental </td></tr>
<tr id="row_3_6_2_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="gibbs__poole__stockmeyer_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="gibbs__poole__stockmeyer_8hpp.html" target="_self">gibbs_poole_stockmeyer.hpp</a></td><td class="desc">Implementation of the Gibbs-Poole-Stockmeyer algorithm. Experimental </td></tr>
<tr id="row_3_7_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_3_7_" class="arrow" onclick="toggleFolder('3_7_')">►</span><span id="img_3_7_" class="iconfclosed" onclick="toggleFolder('3_7_')"> </span><a class="el" href="dir_9d83cdcad950ebf3600600fb35f63223.html" target="_self">ocl</a></td><td class="desc"></td></tr>
<tr id="row_3_7_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="backend_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="backend_8hpp.html" target="_self">backend.hpp</a></td><td class="desc">Implementations of the OpenCL backend, where all contexts are stored in </td></tr>
<tr id="row_3_7_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="command__queue_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="command__queue_8hpp.html" target="_self">command_queue.hpp</a></td><td class="desc">Implementations of command queue representations </td></tr>
<tr id="row_3_7_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="ocl_2context_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="ocl_2context_8hpp.html" target="_self">context.hpp</a></td><td class="desc">Represents an OpenCL context within ViennaCL </td></tr>
<tr id="row_3_7_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="device_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="device_8hpp.html" target="_self">device.hpp</a></td><td class="desc">Represents an OpenCL device within ViennaCL </td></tr>
<tr id="row_3_7_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="device__utils_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="device__utils_8hpp.html" target="_self">device_utils.hpp</a></td><td class="desc">Various utility implementations for dispatching with respect to the different devices available on the market </td></tr>
<tr id="row_3_7_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="enqueue_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="enqueue_8hpp.html" target="_self">enqueue.hpp</a></td><td class="desc">Enqueues kernels into command queues </td></tr>
<tr id="row_3_7_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="error_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="error_8hpp.html" target="_self">error.hpp</a></td><td class="desc">Error handling for the OpenCL layer of ViennaCL </td></tr>
<tr id="row_3_7_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="ocl_2forwards_8h_source.html"><span class="icondoc"></span></a><a class="el" href="ocl_2forwards_8h.html" target="_self">forwards.h</a></td><td class="desc">This file provides the forward declarations for the OpenCL layer of ViennaCL </td></tr>
<tr id="row_3_7_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="ocl_2handle_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="ocl_2handle_8hpp.html" target="_self">handle.hpp</a></td><td class="desc">Implementation of a smart-pointer-like class for handling OpenCL handles </td></tr>
<tr id="row_3_7_9_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="kernel_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="kernel_8hpp.html" target="_self">kernel.hpp</a></td><td class="desc">Representation of an OpenCL kernel in ViennaCL </td></tr>
<tr id="row_3_7_10_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="local__mem_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="local__mem_8hpp.html" target="_self">local_mem.hpp</a></td><td class="desc">A local (shared) memory object for OpenCL </td></tr>
<tr id="row_3_7_11_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="platform_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="platform_8hpp.html" target="_self">platform.hpp</a></td><td class="desc">Implements a OpenCL platform within ViennaCL </td></tr>
<tr id="row_3_7_12_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="program_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="program_8hpp.html" target="_self">program.hpp</a></td><td class="desc">Implements an OpenCL program class for ViennaCL </td></tr>
<tr id="row_3_7_13_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="ocl_2utils_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="ocl_2utils_8hpp.html" target="_self">utils.hpp</a></td><td class="desc">Provides OpenCL-related utilities </td></tr>
<tr id="row_3_8_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_3_8_" class="arrow" onclick="toggleFolder('3_8_')">►</span><span id="img_3_8_" class="iconfclosed" onclick="toggleFolder('3_8_')"> </span><a class="el" href="dir_8d65d6aa9e8b523925f2b9aaa58554fe.html" target="_self">scheduler</a></td><td class="desc"></td></tr>
<tr id="row_3_8_0_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="scheduler_2execute_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="scheduler_2execute_8hpp.html" target="_self">execute.hpp</a></td><td class="desc">Provides the datastructures for dealing with a single statement such as 'x = y + z;' </td></tr>
<tr id="row_3_8_1_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="execute__axbx_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="execute__axbx_8hpp.html" target="_self">execute_axbx.hpp</a></td><td class="desc">Provides the datastructures for dealing with statements of the type x = (y) +- (z) </td></tr>
<tr id="row_3_8_2_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="execute__elementwise_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="execute__elementwise_8hpp.html" target="_self">execute_elementwise.hpp</a></td><td class="desc">Deals with the execution of unary and binary element-wise operations </td></tr>
<tr id="row_3_8_3_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="execute__generic__dispatcher_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="execute__generic__dispatcher_8hpp.html" target="_self">execute_generic_dispatcher.hpp</a></td><td class="desc">Provides unified wrappers for the common routines {<a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a977bbf7c99c8698869270197663b7c5f">as()</a>, <a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#aca3f1e982cff8e1d86a38572d106e702">asbs()</a>, <a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a8fc7dbf404b544c4a8d136ee169fc5a7">asbs_s()</a>}, {<a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a0084570f864bca09fd50bf70bc7151ba">av()</a>, <a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a0e5e9998a330e67e1546b4f8a3eb52cc">avbv()</a>, <a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a5d876cee7442cd65a53f1985ca5f09e0">avbv_v()</a>}, and {<a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a3b7535979abdede56147bc5ff52314fd">am()</a>, <a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a0d1d193d84b15dd9c5f2f69d6aae3d9e">ambm()</a>, <a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a4ef8acb7819438761f82f3284d7acd5e">ambm_m()</a>} such that scheduler logic is not cluttered with numeric type decutions </td></tr>
<tr id="row_3_8_4_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="execute__matrix__dispatcher_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="execute__matrix__dispatcher_8hpp.html" target="_self">execute_matrix_dispatcher.hpp</a></td><td class="desc">Provides wrappers for <a class="el" href="namespaceviennacl_1_1scheduler_1_1detail.html#aca2b475628c8f81635fa7186098cb5d6" title="Wrapper for viennacl::linalg::av(), taking care of the argument unwrapping. ">am()</a>, <a class="el" href="namespaceviennacl_1_1scheduler_1_1detail.html#a1e19fbe37940c1222e7523451575e63d" title="Wrapper for viennacl::linalg::avbv(), taking care of the argument unwrapping. ">ambm()</a>, <a class="el" href="namespaceviennacl_1_1scheduler_1_1detail.html#a65eed844b91af24e61e9b4e671f5bf1f" title="Wrapper for viennacl::linalg::avbv_v(), taking care of the argument unwrapping. ">ambm_m()</a>, etc. in <a class="el" href="matrix__operations_8hpp.html" title="Implementations of dense matrix related operations including matrix-vector products. ">viennacl/linalg/matrix_operations.hpp</a> such that scheduler logic is not cluttered with numeric type decutions </td></tr>
<tr id="row_3_8_5_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="execute__matrix__prod_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="execute__matrix__prod_8hpp.html" target="_self">execute_matrix_prod.hpp</a></td><td class="desc">Deals with matrix-vector and matrix-matrix products </td></tr>
<tr id="row_3_8_6_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="execute__scalar__assign_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="execute__scalar__assign_8hpp.html" target="_self">execute_scalar_assign.hpp</a></td><td class="desc">Deals with the execution of x = RHS; for a vector x and any compatible right hand side expression RHS </td></tr>
<tr id="row_3_8_7_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="execute__scalar__dispatcher_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="execute__scalar__dispatcher_8hpp.html" target="_self">execute_scalar_dispatcher.hpp</a></td><td class="desc">Provides wrappers for <a class="el" href="namespaceviennacl_1_1scheduler_1_1detail.html#a38d01048e4ccf5c5e79631285b74ee39" title="Wrapper for viennacl::linalg::av(), taking care of the argument unwrapping. ">as()</a>, <a class="el" href="namespaceviennacl_1_1scheduler_1_1detail.html#ae1c6c429214457410d66c19bcbab207a" title="Wrapper for viennacl::linalg::avbv(), taking care of the argument unwrapping. ">asbs()</a>, <a class="el" href="namespaceviennacl_1_1scheduler_1_1detail.html#aa3339b4dbc6a35020187b842f3ecbd93" title="Wrapper for viennacl::linalg::avbv_v(), taking care of the argument unwrapping. ">asbs_s()</a>, etc. in <a class="el" href="scalar__operations_8hpp.html" title="Implementations of scalar operations. ">viennacl/linalg/scalar_operations.hpp</a> such that scheduler logic is not cluttered with numeric type decutions </td></tr>
<tr id="row_3_8_8_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="execute__util_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="execute__util_8hpp.html" target="_self">execute_util.hpp</a></td><td class="desc">Provides various utilities for implementing the execution of statements </td></tr>
<tr id="row_3_8_9_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="execute__vector__dispatcher_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="execute__vector__dispatcher_8hpp.html" target="_self">execute_vector_dispatcher.hpp</a></td><td class="desc">Provides wrappers for <a class="el" href="namespaceviennacl_1_1scheduler_1_1detail.html#a45eff9c59fbae556d7e3295e062cdb4f" title="Wrapper for viennacl::linalg::av(), taking care of the argument unwrapping. ">av()</a>, <a class="el" href="namespaceviennacl_1_1scheduler_1_1detail.html#a6512297240413f8cb40fd0e7341f2319" title="Wrapper for viennacl::linalg::avbv(), taking care of the argument unwrapping. ">avbv()</a>, <a class="el" href="namespaceviennacl_1_1scheduler_1_1detail.html#a6da29ab11b7b25e95f3bbd6ec0a129e0" title="Wrapper for viennacl::linalg::avbv_v(), taking care of the argument unwrapping. ">avbv_v()</a>, etc. in <a class="el" href="vector__operations_8hpp.html" title="Implementations of vector operations. ">viennacl/linalg/vector_operations.hpp</a> such that scheduler logic is not cluttered with numeric type decutions </td></tr>
<tr id="row_3_8_10_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="scheduler_2forwards_8h_source.html"><span class="icondoc"></span></a><a class="el" href="scheduler_2forwards_8h.html" target="_self">forwards.h</a></td><td class="desc">Provides the datastructures for dealing with a single statement such as 'x = y + z;' </td></tr>
<tr id="row_3_8_11_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="io_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="io_8hpp.html" target="_self">io.hpp</a></td><td class="desc">Some helper routines for reading/writing/printing scheduler expressions </td></tr>
<tr id="row_3_8_12_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="preset_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="preset_8hpp.html" target="_self">preset.hpp</a></td><td class="desc"></td></tr>
<tr id="row_3_9_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_3_9_" class="arrow" onclick="toggleFolder('3_9_')">►</span><span id="img_3_9_" class="iconfclosed" onclick="toggleFolder('3_9_')"> </span><a class="el" href="dir_54216ae2e4dd664125f44b7fd28e4307.html" target="_self">tools</a></td><td class="desc"></td></tr>
<tr id="row_3_9_0_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="adapter_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="adapter_8hpp.html" target="_self">adapter.hpp</a></td><td class="desc">Adapter classes for sparse matrices made of the STL type std::vector<std::map<SizeT, NumericT> > </td></tr>
<tr id="row_3_9_1_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="entry__proxy_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="entry__proxy_8hpp.html" target="_self">entry_proxy.hpp</a></td><td class="desc">A proxy class for entries in a vector </td></tr>
<tr id="row_3_9_2_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="matrix__generation_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="matrix__generation_8hpp.html" target="_self">matrix_generation.hpp</a></td><td class="desc">Helper routines for generating sparse matrices </td></tr>
<tr id="row_3_9_3_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="matrix__size__deducer_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="matrix__size__deducer_8hpp.html" target="_self">matrix_size_deducer.hpp</a></td><td class="desc">Helper implementations that deduce the dimensions of the supplied matrix-valued expressions </td></tr>
<tr id="row_3_9_4_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="random_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="random_8hpp.html" target="_self">random.hpp</a></td><td class="desc">A small collection of sequential random number generators </td></tr>
<tr id="row_3_9_5_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="sha1_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="sha1_8hpp.html" target="_self">sha1.hpp</a></td><td class="desc"></td></tr>
<tr id="row_3_9_6_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="shared__ptr_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="shared__ptr_8hpp.html" target="_self">shared_ptr.hpp</a></td><td class="desc">Implementation of a shared pointer class (cf. std::shared_ptr, boost::shared_ptr). Will be used until C++11 is widely available </td></tr>
<tr id="row_3_9_7_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="timer_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="timer_8hpp.html" target="_self">timer.hpp</a></td><td class="desc">A simple, yet (mostly) sufficiently accurate timer for benchmarking and profiling </td></tr>
<tr id="row_3_9_8_" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="tools_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="tools_8hpp.html" target="_self">tools.hpp</a></td><td class="desc">Various little tools used here and there in ViennaCL </td></tr>
<tr id="row_3_10_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_3_10_" class="arrow" onclick="toggleFolder('3_10_')">►</span><span id="img_3_10_" class="iconfclosed" onclick="toggleFolder('3_10_')"> </span><a class="el" href="dir_88cf2948f5fd612ee5751a9df4dcf539.html" target="_self">traits</a></td><td class="desc"></td></tr>
<tr id="row_3_10_0_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="clear_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="clear_8hpp.html" target="_self">clear.hpp</a></td><td class="desc">Generic clear functionality for different vector and matrix types </td></tr>
<tr id="row_3_10_1_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="traits_2context_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="traits_2context_8hpp.html" target="_self">context.hpp</a></td><td class="desc">Extracts the underlying context from objects </td></tr>
<tr id="row_3_10_2_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="fill_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="fill_8hpp.html" target="_self">fill.hpp</a></td><td class="desc">Generic fill functionality for different matrix types </td></tr>
<tr id="row_3_10_3_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="traits_2handle_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="traits_2handle_8hpp.html" target="_self">handle.hpp</a></td><td class="desc">Extracts the underlying OpenCL handle from a vector, a matrix, an expression etc </td></tr>
<tr id="row_3_10_4_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="row__major_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="row__major_8hpp.html" target="_self">row_major.hpp</a></td><td class="desc">Determines whether a given expression has a row-major matrix layout </td></tr>
<tr id="row_3_10_5_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="size_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="size_8hpp.html" target="_self">size.hpp</a></td><td class="desc">Generic size and resize functionality for different vector and matrix types </td></tr>
<tr id="row_3_10_6_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="start_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="start_8hpp.html" target="_self">start.hpp</a></td><td class="desc">Extracts the underlying OpenCL start index handle from a vector, a matrix, an expression etc </td></tr>
<tr id="row_3_10_7_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;"> </span><a href="stride_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="stride_8hpp.html" target="_self">stride.hpp</a></td><td class="desc">Determines row and column increments for matrices and matrix proxies </td></tr>
<tr id="row_3_11_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="circulant__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="circulant__matrix_8hpp.html" target="_self">circulant_matrix.hpp</a></td><td class="desc">Implementation of the circulant_matrix class for efficient manipulation of circulant matrices. Experimental </td></tr>
<tr id="row_3_12_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="compressed__compressed__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="compressed__compressed__matrix_8hpp.html" target="_self">compressed_compressed_matrix.hpp</a></td><td class="desc">Implementation of the compressed_compressed_matrix class (CSR format with a relatively small number of nonzero rows) </td></tr>
<tr id="row_3_13_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="compressed__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="compressed__matrix_8hpp.html" target="_self">compressed_matrix.hpp</a></td><td class="desc">Implementation of the compressed_matrix class </td></tr>
<tr id="row_3_14_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="context_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="context_8hpp.html" target="_self">context.hpp</a></td><td class="desc">Implementation of a OpenCL-like context, which serves as a unification of {OpenMP, CUDA, OpenCL} at the user API </td></tr>
<tr id="row_3_15_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="coordinate__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="coordinate__matrix_8hpp.html" target="_self">coordinate_matrix.hpp</a></td><td class="desc">Implementation of the coordinate_matrix class </td></tr>
<tr id="row_3_16_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="ell__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="ell__matrix_8hpp.html" target="_self">ell_matrix.hpp</a></td><td class="desc">Implementation of the ell_matrix class </td></tr>
<tr id="row_3_17_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="fft_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="fft_8hpp.html" target="_self">fft.hpp</a></td><td class="desc">All routines related to the Fast Fourier Transform. Experimental </td></tr>
<tr id="row_3_18_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="forwards_8h_source.html"><span class="icondoc"></span></a><a class="el" href="forwards_8h.html" target="_self">forwards.h</a></td><td class="desc">This file provides the forward declarations for the main types used within ViennaCL </td></tr>
<tr id="row_3_19_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="hankel__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="hankel__matrix_8hpp.html" target="_self">hankel_matrix.hpp</a></td><td class="desc">Implementation of the hankel_matrix class for efficient manipulation of Hankel matrices. Experimental </td></tr>
<tr id="row_3_20_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="hyb__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="hyb__matrix_8hpp.html" target="_self">hyb_matrix.hpp</a></td><td class="desc">Implementation of the hyb_matrix class </td></tr>
<tr id="row_3_21_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="matrix_8hpp.html" target="_self">matrix.hpp</a></td><td class="desc">Implementation of the dense matrix class </td></tr>
<tr id="row_3_22_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="matrix__proxy_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="matrix__proxy_8hpp.html" target="_self">matrix_proxy.hpp</a></td><td class="desc">Proxy classes for matrices </td></tr>
<tr id="row_3_23_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="range_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="range_8hpp.html" target="_self">range.hpp</a></td><td class="desc">Implementation of a range object for use with proxy objects </td></tr>
<tr id="row_3_24_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="scalar_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="scalar_8hpp.html" target="_self">scalar.hpp</a></td><td class="desc">Implementation of the ViennaCL scalar class </td></tr>
<tr id="row_3_25_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="slice_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="slice_8hpp.html" target="_self">slice.hpp</a></td><td class="desc">Implementation of a slice object for use with proxy objects </td></tr>
<tr id="row_3_26_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="sliced__ell__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="sliced__ell__matrix_8hpp.html" target="_self">sliced_ell_matrix.hpp</a></td><td class="desc">Implementation of the sliced_ell_matrix class </td></tr>
<tr id="row_3_27_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="toeplitz__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="toeplitz__matrix_8hpp.html" target="_self">toeplitz_matrix.hpp</a></td><td class="desc">Implementation of the toeplitz_matrix class for efficient manipulation of Toeplitz matrices. Experimental </td></tr>
<tr id="row_3_28_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="vandermonde__matrix_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="vandermonde__matrix_8hpp.html" target="_self">vandermonde_matrix.hpp</a></td><td class="desc">Implementation of the vandermonde_matrix class for efficient manipulation of Vandermonde matrices. Experimental </td></tr>
<tr id="row_3_29_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="vector_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="vector_8hpp.html" target="_self">vector.hpp</a></td><td class="desc">The vector type with operator-overloads and proxy classes is defined here. Linear algebra operations such as norms and inner products are located in <a class="el" href="vector__operations_8hpp.html" title="Implementations of vector operations. ">linalg/vector_operations.hpp</a> </td></tr>
<tr id="row_3_30_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="vector__proxy_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="vector__proxy_8hpp.html" target="_self">vector_proxy.hpp</a></td><td class="desc">Proxy classes for vectors </td></tr>
<tr id="row_3_31_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="version_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="version_8hpp.html" target="_self">version.hpp</a></td><td class="desc">Provides version information for detecting different versions of ViennaCL </td></tr>
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