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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="contents">
<div class="textblock">Here is a list of all class members with links to the classes they belong to:</div>
<h3><a class="anchor" id="index_c"></a>- c -</h3><ul>
<li>cache_path()
: <a class="el" href="classviennacl_1_1ocl_1_1context.html#a6aa5ef5cb563ed047ff72f286eb5718b">viennacl::ocl::context</a>
</li>
<li>call_after_expansion()
: <a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1evaluate__expression__traversal.html#adb18331e422fee5141086cad436f265c">viennacl::device_specific::tree_parsing::evaluate_expression_traversal</a>
, <a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1traversal__functor.html#a23a7fa29bf0e42555a1dd64b05dd6e0d">viennacl::device_specific::tree_parsing::traversal_functor</a>
</li>
<li>call_before_expansion()
: <a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1evaluate__expression__traversal.html#a87af629fb274204628a1ad6539c44535">viennacl::device_specific::tree_parsing::evaluate_expression_traversal</a>
, <a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1traversal__functor.html#ad2b2a224790bec788f2b0d31b41b05c8">viennacl::device_specific::tree_parsing::traversal_functor</a>
</li>
<li>cg_solver()
: <a class="el" href="classviennacl_1_1linalg_1_1cg__solver.html#acaa27e4be6e0e370122e35ab046cf065">viennacl::linalg::cg_solver< VectorT ></a>
</li>
<li>cg_tag()
: <a class="el" href="classviennacl_1_1linalg_1_1cg__tag.html#a9c13205b31b5b56c8b87c65e4aa09346">viennacl::linalg::cg_tag</a>
</li>
<li>check_after_steps()
: <a class="el" href="classviennacl_1_1linalg_1_1nmf__config.html#a875e5f082abe21568f75b36cc7b590b2">viennacl::linalg::nmf_config</a>
</li>
<li>check_invalid()
: <a class="el" href="classviennacl_1_1device__specific_1_1template__base.html#a86aa320138e6af384f6cb7bf2309c265">viennacl::device_specific::template_base</a>
, <a class="el" href="classviennacl_1_1device__specific_1_1template__base__impl.html#a68e0fd6874120ec954fe8ae5f809e090">viennacl::device_specific::template_base_impl< TemplateType, ParametersType ></a>
</li>
<li>checkError()
: <a class="el" href="structviennacl_1_1ocl_1_1error__checker.html#afa31f67d90b2fcc5453451b53bbbd959">viennacl::ocl::error_checker< T ></a>
</li>
<li>chow_patel_icc_precond()
: <a class="el" href="classviennacl_1_1linalg_1_1chow__patel__icc__precond_3_01viennacl_1_1compressed__matrix_3_01_num12c156ca568277646db4ffa0c9da3134.html#ab7e63959070504a664e131ea1d227c3d">viennacl::linalg::chow_patel_icc_precond< viennacl::compressed_matrix< NumericT, AlignmentV > ></a>
</li>
<li>chow_patel_ilu_precond()
: <a class="el" href="classviennacl_1_1linalg_1_1chow__patel__ilu__precond_3_01viennacl_1_1compressed__matrix_3_01_num1d4c01a16bf6e4ce8c15fcd9140c68ca.html#a75b0c4e1bba081c2777a13ed606da23a">viennacl::linalg::chow_patel_ilu_precond< viennacl::compressed_matrix< NumericT, AlignmentV > ></a>
</li>
<li>chow_patel_tag()
: <a class="el" href="classviennacl_1_1linalg_1_1chow__patel__tag.html#aba43bb63c0169b6b9504677337d57218">viennacl::linalg::chow_patel_tag</a>
</li>
<li>circulant_matrix()
: <a class="el" href="classviennacl_1_1circulant__matrix.html#aee698efb56fc69c182d2c8198195bc1c">viennacl::circulant_matrix< NumericT, AlignmentV ></a>
</li>
<li>clear()
: <a class="el" href="classviennacl_1_1compressed__compressed__matrix.html#ac376d592c59c8ce6bd16a51541e05f9b">viennacl::compressed_compressed_matrix< NumericT ></a>
, <a class="el" href="classviennacl_1_1compressed__matrix.html#ae64788e11216b0d9fca181ce1d74fceb">viennacl::compressed_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1coordinate__matrix.html#a4fccbe4157aa8833d23b0541803e06af">viennacl::coordinate_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1ell__matrix.html#aff440baf9a08f63a1aa886990aaf406b">viennacl::ell_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1hyb__matrix.html#a78944df9433891f6654713dbbf34ed93">viennacl::hyb_matrix< SCALARTYPE, ALIGNMENT ></a>
, <a class="el" href="classviennacl_1_1linalg_1_1detail_1_1spai_1_1sparse__vector.html#a4d1dc8b0e59dd87a08f97bd894e95651">viennacl::linalg::detail::spai::sparse_vector< NumericT ></a>
, <a class="el" href="classviennacl_1_1matrix__base.html#a4d68a8dc9bdca6b231f5eaffab98b3ec">viennacl::matrix_base< NumericT, SizeT, DistanceT ></a>
, <a class="el" href="classviennacl_1_1sliced__ell__matrix.html#ac681e3c8d41b686282711644cbdcadfb">viennacl::sliced_ell_matrix< ScalarT, IndexT ></a>
, <a class="el" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html#adb01b026d91466723fe5e283b528a4f6">viennacl::tools::sparse_matrix_adapter< NumericT, SizeT ></a>
, <a class="el" href="classviennacl_1_1vector__base.html#abf5acd243b2b1571cc7a486e89485ca0">viennacl::vector_base< NumericT, SizeT, DistanceT ></a>
</li>
<li>clone()
: <a class="el" href="classviennacl_1_1device__specific_1_1template__base.html#ad2ea7f528b5c3cad8bee3ac4fefc3a3b">viennacl::device_specific::template_base</a>
, <a class="el" href="classviennacl_1_1device__specific_1_1template__base__impl.html#a1379e9994ab8fa2e9b8bc8a748e48cb3">viennacl::device_specific::template_base_impl< TemplateType, ParametersType ></a>
</li>
<li>coarse_id_
: <a class="el" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">viennacl::linalg::detail::amg::amg_level_context</a>
</li>
<li>coarse_points()
: <a class="el" href="classviennacl_1_1linalg_1_1amg__coarse__problem__too__large__exception.html#a9ab9f7043339193e57e250007c547aae">viennacl::linalg::amg_coarse_problem_too_large_exception</a>
</li>
<li>col_indices_
: <a class="el" href="structviennacl_1_1linalg_1_1detail_1_1ilut__sparse__vector.html#a1089d75b3ba259914ba09a871485fb0a">viennacl::linalg::detail::ilut_sparse_vector< NumericT ></a>
</li>
<li>col_num
: <a class="el" href="structtest_data.html#a17b3748f5f39c787969812b2e8323d9c">testData</a>
</li>
<li>command_queue()
: <a class="el" href="classviennacl_1_1ocl_1_1command__queue.html#afe48096ca16c17701bc016df6854ca80">viennacl::ocl::command_queue</a>
</li>
<li>compiler_available()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#a22bb3e2ba98f0cd4c532b150f049aa19">viennacl::ocl::device</a>
</li>
<li>compressed_compressed_matrix()
: <a class="el" href="classviennacl_1_1compressed__compressed__matrix.html#a0442c341f3c87c16d92525b4050761ac">viennacl::compressed_compressed_matrix< NumericT ></a>
</li>
<li>compressed_matrix()
: <a class="el" href="classviennacl_1_1compressed__matrix.html#ae1e3f7b28ef12f480099cd6713124dbf">viennacl::compressed_matrix< NumericT, AlignmentV ></a>
</li>
<li>compressed_matrix_double
: <a class="el" href="structviennacl_1_1scheduler_1_1lhs__rhs__element.html#ae22891e6215a3c715e81c28949f39fc8">viennacl::scheduler::lhs_rhs_element</a>
</li>
<li>compressed_matrix_float
: <a class="el" href="structviennacl_1_1scheduler_1_1lhs__rhs__element.html#abc4fd291ce66307332eb515ed534fe1a">viennacl::scheduler::lhs_rhs_element</a>
</li>
<li>const_at()
: <a class="el" href="classviennacl_1_1vector__tuple.html#a9e4b9367232f8937dfaddeaeca64e0e0">viennacl::vector_tuple< ScalarT ></a>
</li>
<li>const_entry_proxy()
: <a class="el" href="classviennacl_1_1const__entry__proxy.html#a9906f1d945b78b11ab14feef6367d2c8">viennacl::const_entry_proxy< SCALARTYPE ></a>
</li>
<li>const_iterator
: <a class="el" href="classviennacl_1_1linalg_1_1detail_1_1spai_1_1sparse__vector.html#a1c0d369654755145dd622a0b8d6d6af4">viennacl::linalg::detail::spai::sparse_vector< NumericT ></a>
, <a class="el" href="classviennacl_1_1vector__base.html#a4ec4c96611126257ff5995dadc8ca4bf">viennacl::vector_base< NumericT, SizeT, DistanceT ></a>
, <a class="el" href="classviennacl_1_1vector__range.html#a64b947bbbacf9fb025cb84ea8c42f9b4">viennacl::vector_range< VectorType ></a>
, <a class="el" href="classviennacl_1_1vector__slice.html#a4a47605536d56c7751a7eff41d94793e">viennacl::vector_slice< VectorType ></a>
</li>
<li>const_iterator1
: <a class="el" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html#a4e147631b6d86479089b1a12eb94ea95">viennacl::tools::const_sparse_matrix_adapter< NumericT, SizeT ></a>
, <a class="el" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html#a7ce6c3c960bf7c71b0d2d1ecede98048">viennacl::tools::sparse_matrix_adapter< NumericT, SizeT ></a>
</li>
<li>const_iterator2
: <a class="el" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html#a7da71810f96a57b84aaee3e2de810922">viennacl::tools::const_sparse_matrix_adapter< NumericT, SizeT ></a>
, <a class="el" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html#a70ff56b081a2e661121b6018774addaf">viennacl::tools::sparse_matrix_adapter< NumericT, SizeT ></a>
</li>
<li>const_reference
: <a class="el" href="classviennacl_1_1basic__range.html#a96bc2ca82dc308bfe484e5c93213f925">viennacl::basic_range< SizeType, DistanceType ></a>
, <a class="el" href="classviennacl_1_1basic__slice.html#a0b6d101bae091dba51d3345ecd860855">viennacl::basic_slice< SizeType, DistanceType ></a>
, <a class="el" href="classviennacl_1_1identity__matrix.html#a08fccf1a11df6b16574d06c518748525">viennacl::identity_matrix< NumericT ></a>
, <a class="el" href="classviennacl_1_1implicit__matrix__base.html#a3497c22b962d0bf7931ef7148f90c805">viennacl::implicit_matrix_base< NumericT ></a>
, <a class="el" href="classviennacl_1_1implicit__vector__base.html#ae1e3511b1f14bf90f9397e9cc645df7e">viennacl::implicit_vector_base< NumericT ></a>
, <a class="el" href="classviennacl_1_1matrix__range.html#ae6dc2ea9e181e7305eb258397f2a75f1">viennacl::matrix_range< MatrixType ></a>
, <a class="el" href="classviennacl_1_1matrix__slice.html#ad540bf380c5586b66d6ba3745555136f">viennacl::matrix_slice< MatrixType ></a>
, <a class="el" href="classviennacl_1_1scalar__matrix.html#a2d23a253337da08602d2b43e93defb08">viennacl::scalar_matrix< NumericT ></a>
, <a class="el" href="classviennacl_1_1vector__range.html#a2af1699492211afb852efc83160a2be7">viennacl::vector_range< VectorType ></a>
, <a class="el" href="classviennacl_1_1vector__slice.html#a61a73adeafdacf810a8684c194f8f810">viennacl::vector_slice< VectorType ></a>
, <a class="el" href="classviennacl_1_1zero__matrix.html#a1572a830e2086eafd0376d92d97486a5">viennacl::zero_matrix< NumericT ></a>
</li>
<li>const_reverse_iterator1
: <a class="el" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html#af55eb79d2de84919ca667ff45a8a0d66">viennacl::tools::const_sparse_matrix_adapter< NumericT, SizeT ></a>
</li>
<li>const_size()
: <a class="el" href="classviennacl_1_1vector__tuple.html#a9f2fc8200f0199e396eaeca310f8e9f4">viennacl::vector_tuple< ScalarT ></a>
</li>
<li>const_sparse_matrix_adapted_iterator()
: <a class="el" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapted__iterator.html#ae6349cbd14bfe5d395d4f0633de950be">viennacl::tools::const_sparse_matrix_adapted_iterator< NumericT, SizeT, is_iterator1, is_forward ></a>
</li>
<li>const_sparse_matrix_adapter()
: <a class="el" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html#a6c74ad0e6e90e1ec31ec25b8d2cfbb94">viennacl::tools::const_sparse_matrix_adapter< NumericT, SizeT ></a>
</li>
<li>const_vector_iterator()
: <a class="el" href="classviennacl_1_1const__vector__iterator.html#a75ffbe5005aca3d4c5a429c4bd5743ea">viennacl::const_vector_iterator< SCALARTYPE, ALIGNMENT ></a>
</li>
<li>container_type
: <a class="el" href="classviennacl_1_1device__specific_1_1execution__handler.html#a2cbc09d9f433d3c351d1320616c5706c">viennacl::device_specific::execution_handler</a>
, <a class="el" href="classviennacl_1_1scheduler_1_1statement.html#a600279969b8e7e2e88cf1be2c5bb0513">viennacl::scheduler::statement</a>
</li>
<li>context()
: <a class="el" href="classviennacl_1_1context.html#a8f95db066e453ccd52aa9305fbd71243">viennacl::context</a>
, <a class="el" href="classviennacl_1_1implicit__matrix__base.html#ae3983c75190de384eff1a9f79b54acfd">viennacl::implicit_matrix_base< NumericT ></a>
, <a class="el" href="classviennacl_1_1implicit__vector__base.html#a7f5eff229a7bad59e3fda147a1cca2c8">viennacl::implicit_vector_base< NumericT ></a>
, <a class="el" href="classviennacl_1_1ocl_1_1backend.html#a2624fd8cbca3bd89ca5211947d7f04b6">viennacl::ocl::backend< dummy ></a>
, <a class="el" href="classviennacl_1_1ocl_1_1context.html#a0f1a9e025d6fcdd44b21d8f80fa8c446">viennacl::ocl::context</a>
, <a class="el" href="classviennacl_1_1ocl_1_1handle.html#aabb9d0a4beed00a52500de6047651135">viennacl::ocl::handle< OCL_TYPE ></a>
, <a class="el" href="classviennacl_1_1ocl_1_1kernel.html#af60c5f1588e699e9a93a6fe879a45e76">viennacl::ocl::kernel</a>
</li>
<li>context_id
: <a class="el" href="struct_vienna_c_l_open_c_l_backend__impl.html#aa5f97c2ab6d7e2d75d0b378fb0014df7">ViennaCLOpenCLBackend_impl</a>
</li>
<li>convert_to_string()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#acdd69338283c7a1ca06b11b0759c8843">viennacl::ocl::device</a>
</li>
<li>coordinate_matrix()
: <a class="el" href="classviennacl_1_1coordinate__matrix.html#a472604b5e8e7a818fcee171898df1c92">viennacl::coordinate_matrix< NumericT, AlignmentV ></a>
</li>
<li>coordinate_matrix_double
: <a class="el" href="structviennacl_1_1scheduler_1_1lhs__rhs__element.html#a84f26b31474688c579c135d2f82fb2c3">viennacl::scheduler::lhs_rhs_element</a>
</li>
<li>coordinate_matrix_float
: <a class="el" href="structviennacl_1_1scheduler_1_1lhs__rhs__element.html#ab345412c1fcb3dc9677c68fd1ad3be25">viennacl::scheduler::lhs_rhs_element</a>
</li>
<li>copy
: <a class="el" href="classviennacl_1_1coordinate__matrix.html#a3cd8e9989ee1b547dbcba2fe87f7b29d">viennacl::coordinate_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1ell__matrix.html#afeb18c524920cfa52a7d56cd0b31b3c1">viennacl::ell_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1hyb__matrix.html#aea26738cc380b7355a9ca42d0c47497d">viennacl::hyb_matrix< SCALARTYPE, ALIGNMENT ></a>
, <a class="el" href="classviennacl_1_1sliced__ell__matrix.html#a40c479e880ef7e7f50ed67cda91bb8e7">viennacl::sliced_ell_matrix< ScalarT, IndexT ></a>
</li>
<li>count
: <a class="el" href="structviennacl_1_1tools_1_1detail_1_1aux.html#a273b9c4b06e8de2c9cf20461bdb4b082">viennacl::tools::detail::aux</a>
, <a class="el" href="classviennacl_1_1tools_1_1detail_1_1count.html#a4777eba2d2024d1f8fb55ba4ccbff605">viennacl::tools::detail::count</a>
</li>
<li>cpu_value_type
: <a class="el" href="classviennacl_1_1implicit__matrix__base.html#a72554b23195ee6aa7adb6ee83a766a5e">viennacl::implicit_matrix_base< NumericT ></a>
, <a class="el" href="classviennacl_1_1implicit__vector__base.html#ac8da267b5af5f86ebdb7015224af87d3">viennacl::implicit_vector_base< NumericT ></a>
, <a class="el" href="classviennacl_1_1matrix__base.html#a97a05d0d15287911969ee656268e957d">viennacl::matrix_base< NumericT, SizeT, DistanceT ></a>
, <a class="el" href="classviennacl_1_1matrix__range.html#a4064dc2a15d3ab796852dffb6cfd873b">viennacl::matrix_range< MatrixType ></a>
, <a class="el" href="classviennacl_1_1matrix__slice.html#a38cb8271a86001d19028cc2903546463">viennacl::matrix_slice< MatrixType ></a>
, <a class="el" href="classviennacl_1_1vector__base.html#a89d9f472ab363203262baca7aecbdbad">viennacl::vector_base< NumericT, SizeT, DistanceT ></a>
, <a class="el" href="classviennacl_1_1vector__range.html#aecc39b04cc1e7d5dd24aaaacf79b04b5">viennacl::vector_range< VectorType ></a>
, <a class="el" href="classviennacl_1_1vector__slice.html#a97f4fa21209281375ac5254518b4a84a">viennacl::vector_slice< VectorType ></a>
</li>
<li>create_memory()
: <a class="el" href="classviennacl_1_1ocl_1_1context.html#ac70d01bc7f8bd1f36c10eae811672d79">viennacl::ocl::context</a>
</li>
<li>create_memory_without_smart_handle()
: <a class="el" href="classviennacl_1_1ocl_1_1context.html#ad14902e6145fc89fa77dc412c46eb58f">viennacl::ocl::context</a>
</li>
<li>csr_nnz()
: <a class="el" href="classviennacl_1_1hyb__matrix.html#a98dfc47bcf5178ccd6c888f39b2ec0e4">viennacl::hyb_matrix< SCALARTYPE, ALIGNMENT ></a>
</li>
<li>csr_threshold()
: <a class="el" href="classviennacl_1_1hyb__matrix.html#ac93fc5b3db82256f22d780618ad362db">viennacl::hyb_matrix< SCALARTYPE, ALIGNMENT ></a>
</li>
<li>ctx_
: <a class="el" href="classviennacl_1_1implicit__matrix__base.html#a7c5fd51dfd9b251c2a6163ebbb1b77e4">viennacl::implicit_matrix_base< NumericT ></a>
, <a class="el" href="classviennacl_1_1implicit__vector__base.html#a5b03027ed616cbb389e9cf15e8f2e027">viennacl::implicit_vector_base< NumericT ></a>
</li>
<li>cuda_backend
: <a class="el" href="struct_vienna_c_l_backend__impl.html#aa0382d3f1a5628c16c0fcb19faf6a7f6">ViennaCLBackend_impl</a>
</li>
<li>cuda_exception()
: <a class="el" href="classviennacl_1_1backend_1_1cuda_1_1cuda__exception.html#a806e028714b2a6225a217798921a470d">viennacl::backend::cuda::cuda_exception</a>
</li>
<li>cuda_handle_type
: <a class="el" href="classviennacl_1_1backend_1_1mem__handle.html#a69c400a65d33f177a076f081954d6df7">viennacl::backend::mem_handle</a>
</li>
<li>cuda_not_available_exception()
: <a class="el" href="classviennacl_1_1cuda__not__available__exception.html#a941a849d4b445e91c19f14cb3e7d1419">viennacl::cuda_not_available_exception</a>
</li>
<li>current_context()
: <a class="el" href="classviennacl_1_1ocl_1_1backend.html#ab23aa4155950ebb8db086096b15b1850">viennacl::ocl::backend< dummy ></a>
</li>
<li>current_device()
: <a class="el" href="classviennacl_1_1ocl_1_1context.html#ab4d9064422cc8c183a14ad77c2a7b49b">viennacl::ocl::context</a>
</li>
<li>current_queue()
: <a class="el" href="classviennacl_1_1ocl_1_1context.html#af6f574a9f1fb21a1ce68eeb567e04ca0">viennacl::ocl::context</a>
</li>
</ul>
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