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<div id="projectname">ViennaCL - The Vienna Computing Library
 <span id="projectnumber">1.7.1</span>
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<div id="projectbrief">Free open-source GPU-accelerated linear algebra and solver library.</div>
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<div class="textblock">Here is a list of all class members with links to the classes they belong to:</div>
<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
<li>raise_exception()
: <a class="el" href="structviennacl_1_1ocl_1_1error__checker.html#a94d8ad7cf214697dc9e718fe8f2b0c1e">viennacl::ocl::error_checker< T ></a>
</li>
<li>ram_handle()
: <a class="el" href="classviennacl_1_1backend_1_1mem__handle.html#ab55c00bfcae173df466a709fdaae2a55">viennacl::backend::mem_handle</a>
</li>
<li>ram_handle_type
: <a class="el" href="classviennacl_1_1backend_1_1mem__handle.html#adc61102286d3327a86f5039ce137824c">viennacl::backend::mem_handle</a>
</li>
<li>raw_resize()
: <a class="el" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a022195526ab46a21e899e58ccfd234fc">viennacl::backend::typesafe_host_array< T, special ></a>
, <a class="el" href="classviennacl_1_1backend_1_1typesafe__host__array_3_01_t_00_01true_01_4.html#af69b0bbba6bba94e1bad0b0059913e7f">viennacl::backend::typesafe_host_array< T, true ></a>
</li>
<li>raw_size()
: <a class="el" href="classviennacl_1_1backend_1_1mem__handle.html#a0e355736ea598cfcdeab296e09428727">viennacl::backend::mem_handle</a>
, <a class="el" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1a408130e0f633ffb1d12122873e3592">viennacl::backend::typesafe_host_array< T, special ></a>
, <a class="el" href="classviennacl_1_1backend_1_1typesafe__host__array_3_01_t_00_01true_01_4.html#a98b8355bc38294af6e8dbf1dce650a2c">viennacl::backend::typesafe_host_array< T, true ></a>
, <a class="el" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">viennacl::backend::mem_handle</a>
</li>
<li>rbegin1()
: <a class="el" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html#aa3ce5161db938aac409f87542c2285b2">viennacl::tools::const_sparse_matrix_adapter< NumericT, SizeT ></a>
</li>
<li>reference
: <a class="el" href="classviennacl_1_1vector__range.html#a34cbea4a37784e232c4027498312cc06">viennacl::vector_range< VectorType ></a>
, <a class="el" href="classviennacl_1_1vector__slice.html#a8365cb33480ded20708a350bce34bb82">viennacl::vector_slice< VectorType ></a>
, <a class="el" href="classviennacl_1_1matrix__range.html#a294649e885898124628094aa3acd5fa5">viennacl::matrix_range< MatrixType ></a>
, <a class="el" href="classviennacl_1_1matrix__slice.html#a9f10a6601fa6afe0d38a8f1e6483a90c">viennacl::matrix_slice< MatrixType ></a>
, <a class="el" href="classviennacl_1_1basic__range.html#a98fe8293684a30f75d6aacad7ec13bde">viennacl::basic_range< SizeT, DistanceT ></a>
, <a class="el" href="classviennacl_1_1basic__slice.html#ade9eed27085e548ae36b0872cf7502bf">viennacl::basic_slice< SizeT, DistanceT ></a>
</li>
<li>register_attribute()
: <a class="el" href="classviennacl_1_1device__specific_1_1mapped__object.html#ab5db05c25b66caeec5c8f7b959213f57">viennacl::device_specific::mapped_object</a>
</li>
<li>rend1()
: <a class="el" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html#a6b3fdd10f54062008d684fe973b4be69">viennacl::tools::const_sparse_matrix_adapter< NumericT, SizeT ></a>
</li>
<li>replace_offset()
: <a class="el" href="classviennacl_1_1device__specific_1_1mapped__object.html#a0c2f9fd9d4eaaf5aff82d139647d7400">viennacl::device_specific::mapped_object</a>
</li>
<li>reserve()
: <a class="el" href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">viennacl::compressed_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1coordinate__matrix.html#ad091412ca52bb131234464ed3f5b103c">viennacl::coordinate_matrix< NumericT, AlignmentV ></a>
</li>
<li>reset()
: <a class="el" href="classviennacl_1_1tools_1_1detail_1_1sha1.html#a81f6db91eaef02300d5087eeba2d8ee7">viennacl::tools::detail::sha1</a>
, <a class="el" href="classviennacl_1_1tools_1_1shared__ptr.html#a875b78f7a6290e6b0987f956d1fc5e33">viennacl::tools::shared_ptr< T ></a>
</li>
<li>resize()
: <a class="el" href="classviennacl_1_1vector__base.html#a2c98febf463c12cfb5890c3770ae133b">viennacl::vector_base< NumericT, SizeT, DistanceT ></a>
, <a class="el" href="classviennacl_1_1hankel__matrix.html#aaa2c575a8c1610216885136d43625749">viennacl::hankel_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a711a4bf8bc2c4fa448e3aff649a3aea7">viennacl::linalg::detail::amg::amg_level_context</a>
, <a class="el" href="classviennacl_1_1matrix.html#a912547a8b6b58c92375f84e27bb6d054">viennacl::matrix< NumericT, F, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1toeplitz__matrix.html#a84d02ddf2195dd6d5b5fd6498f200501">viennacl::toeplitz_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html#a7c8cce841ab671d71d97e911ed153f76">viennacl::tools::sparse_matrix_adapter< NumericT, SizeT ></a>
, <a class="el" href="classviennacl_1_1vandermonde__matrix.html#a92d6be5a35f867bdac45cd32ac7ebed2">viennacl::vandermonde_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1vector.html#a9df34196fc05e9c83c83f9d5eb7c1c97">viennacl::vector< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a3b640f9457805daeebbc125e02bc9705">viennacl::backend::typesafe_host_array< T, special ></a>
, <a class="el" href="classviennacl_1_1backend_1_1typesafe__host__array_3_01_t_00_01true_01_4.html#a9f40e36cac990363b40372826fda347f">viennacl::backend::typesafe_host_array< T, true ></a>
, <a class="el" href="classviennacl_1_1circulant__matrix.html#a42e8a7deab732db0a365331b6485d814">viennacl::circulant_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">viennacl::compressed_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1coordinate__matrix.html#a5363ed7b82aaad8549c85d880755f846">viennacl::coordinate_matrix< NumericT, AlignmentV ></a>
, <a class="el" href="classviennacl_1_1matrix__base.html#a74ba45afe7c6c22128463a7a9eece697">viennacl::matrix_base< NumericT, SizeT, DistanceT ></a>
</li>
<li>resize_if_bigger()
: <a class="el" href="structviennacl_1_1linalg_1_1detail_1_1ilut__sparse__vector.html#a1c4180253dfc8421737b6cb5ab7d40cb">viennacl::linalg::detail::ilut_sparse_vector< NumericT ></a>
</li>
<li>result_multiply
: <a class="el" href="structtest_data.html#a634014dc338b61c038693642efabff47">testData</a>
</li>
<li>result_type
: <a class="el" href="structmatrix__maker_3_01boost_1_1numeric_1_1ublas_1_1matrix__range_3_01_matrix_t_01_4_00_01_f_01_4.html#aa4a25c0ef396500ec2f3800878b9bd8d">matrix_maker< boost::numeric::ublas::matrix_range< MatrixT >, F ></a>
, <a class="el" href="structmatrix__maker_3_01boost_1_1numeric_1_1ublas_1_1matrix__slice_3_01_matrix_t_01_4_00_01_f_01_4.html#ae9721615acd711ed356c8eb64db6c651">matrix_maker< boost::numeric::ublas::matrix_slice< MatrixT >, F ></a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1size1__fun.html#a6f788402ff5b7c320d4925a099dc0d68">viennacl::device_specific::utils::size1_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1size__fun.html#ac1c23304658b2f8be17c0f706817a592">viennacl::device_specific::utils::size_fun</a>
, <a class="el" href="structmatrix__maker_3_01boost_1_1numeric_1_1ublas_1_1matrix_3_01_t_01_4_00_01_f_01_4.html#aeae2df6ae63978fa4d4e73c2097dfafc">matrix_maker< boost::numeric::ublas::matrix< T >, F ></a>
, <a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1statement__representation__functor.html#acac0fc6695310f8137d0df6fa8c0f03a">viennacl::device_specific::tree_parsing::statement_representation_functor</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1scalartype__size__fun.html#aa25e886c6f7ea396dd3661ba22848d6c">viennacl::device_specific::utils::scalartype_size_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1internal__size__fun.html#a04b314dab25469a07e2c1815b2278ba7">viennacl::device_specific::utils::internal_size_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1stride__fun.html#a30b3642c00ccbf41e80ddbe1c8857112">viennacl::device_specific::utils::stride_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1start1__fun.html#afa684b874dcbd93cecc20beaf5d5300b">viennacl::device_specific::utils::start1_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1start2__fun.html#ab9e9f54c99ee5c4fa7b03c86fb3c7bac">viennacl::device_specific::utils::start2_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1leading__stride.html#a4e33ade1964ba6d5240e3e83221677a8">viennacl::device_specific::utils::leading_stride</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1leading__start.html#a3ae543b5c47f099a79a66f7ccb0cc251">viennacl::device_specific::utils::leading_start</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1stride1__fun.html#a7bf16956f06a6bbf04e1ed2f86e42f3f">viennacl::device_specific::utils::stride1_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1stride2__fun.html#ad81e702da882bd123ace4a495da13df5">viennacl::device_specific::utils::stride2_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1row__major__fun.html#a13c76e80d8d2476f7296d3a5eb9964a7">viennacl::device_specific::utils::row_major_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1internal__size1__fun.html#a94637ceae517b8f5ed07c3859a19a1cb">viennacl::device_specific::utils::internal_size1_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1internal__size2__fun.html#a32ec16c83f6accf8a4a3b4c3fa687ad3">viennacl::device_specific::utils::internal_size2_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1handle__fun.html#a51aba73af223f30ff44068b7cf58a062">viennacl::device_specific::utils::handle_fun</a>
, <a class="el" href="structviennacl_1_1device__specific_1_1utils_1_1size2__fun.html#a042219c4692be2d1e62c31c6bf9ef43a">viennacl::device_specific::utils::size2_fun</a>
</li>
<li>ResultDataLarge()
: <a class="el" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#ae0345fbd4a98525789efe1f752ac1c83">viennacl::linalg::detail::ResultDataLarge< NumericT ></a>
</li>
<li>ResultDataSmall()
: <a class="el" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html#a14a32d5159fdb6407c8ef91ce4bc8489">viennacl::linalg::detail::ResultDataSmall< NumericT ></a>
</li>
<li>ResultType
: <a class="el" href="structviennacl_1_1tools_1_1_c_o_n_s_t___r_e_m_o_v_e_r.html#a4f041902878a4ffb6c8f1ffa55f759c3">viennacl::tools::CONST_REMOVER< T ></a>
, <a class="el" href="structviennacl_1_1tools_1_1_c_h_e_c_k___s_c_a_l_a_r___t_e_m_p_l_a_t_e___a_r_g_u_m_e_n_t.html#a079d57fb3a83c91a0ca2e04be06ef78b">viennacl::tools::CHECK_SCALAR_TEMPLATE_ARGUMENT< T ></a>
</li>
<li>rhs
: <a class="el" href="structviennacl_1_1scheduler_1_1statement__node.html#ab44e6f9dbcf1d154c6f3dc79e2aab591">viennacl::scheduler::statement_node</a>
, <a class="el" href="classviennacl_1_1matrix__expression.html#a5e1aa68cd901d54ed3e4bc56882a5047">viennacl::matrix_expression< LHS, RHS, OP ></a>
, <a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__norm__1_01_4.html#a7cd3a4d94d5c1d72a6b627f650aedcde">viennacl::scalar_expression< LHS, RHS, op_norm_1 ></a>
, <a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__min_01_4.html#a37e7ae940163d33010455f9225d481ec">viennacl::scalar_expression< LHS, RHS, op_min ></a>
, <a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__sum_01_4.html#a72bf63d885ac628f588a58f65c7918e1">viennacl::scalar_expression< LHS, RHS, op_sum ></a>
, <a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__max_01_4.html#ad2468254917b09c04a03462c950894d7">viennacl::scalar_expression< LHS, RHS, op_max ></a>
, <a class="el" href="classviennacl_1_1vector__expression.html#a2c4138095317b0d974978f88b9954a8a">viennacl::vector_expression< LHS, RHS, OP ></a>
, <a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__norm__2_01_4.html#a5c396160db0ffed8c540e6d3c12af0ee">viennacl::scalar_expression< LHS, RHS, op_norm_2 ></a>
, <a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__norm__inf_01_4.html#a23831b3a67caf34ee518be31d452838c">viennacl::scalar_expression< LHS, RHS, op_norm_inf ></a>
, <a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__norm__frobenius_01_4.html#ab15d868e688c03c848c1bc3eb3519108">viennacl::scalar_expression< LHS, RHS, op_norm_frobenius ></a>
, <a class="el" href="classviennacl_1_1scalar__expression_3_01_l_h_s_00_01_r_h_s_00_01op__inner__prod_01_4.html#a7006d23a86cf9ac2b22ad6f846cc6b31">viennacl::scalar_expression< LHS, RHS, op_inner_prod ></a>
, <a class="el" href="classviennacl_1_1scalar__expression.html#a783aa3599337928c7026d20b8a58120d">viennacl::scalar_expression< LHS, RHS, OP ></a>
</li>
<li>root()
: <a class="el" href="classviennacl_1_1scheduler_1_1statement.html#a0bf20346036ee130e78351991543cf09">viennacl::scheduler::statement</a>
</li>
<li>root_idx
: <a class="el" href="structviennacl_1_1device__specific_1_1mapped__object_1_1node__info.html#a14cdd5497bcfaf219e803e83218b6b1c">viennacl::device_specific::mapped_object::node_info</a>
, <a class="el" href="classviennacl_1_1device__specific_1_1mapped__reduction.html#ad56d90c59d9e28d814711518e9c3a12c">viennacl::device_specific::mapped_reduction</a>
</li>
<li>root_node()
: <a class="el" href="classviennacl_1_1device__specific_1_1mapped__reduction.html#a91671175e0ca9b3e24f10b0091b8ffa3">viennacl::device_specific::mapped_reduction</a>
</li>
<li>root_op()
: <a class="el" href="classviennacl_1_1device__specific_1_1mapped__reduction.html#a0d4971e83938e46999cbae60d1070822">viennacl::device_specific::mapped_reduction</a>
</li>
<li>row()
: <a class="el" href="classviennacl_1_1linalg_1_1detail_1_1_fast_matrix.html#a8302dc145b6238b4a8859b775192da6e">viennacl::linalg::detail::FastMatrix< SCALARTYPE ></a>
</li>
<li>row_major()
: <a class="el" href="classviennacl_1_1device__specific_1_1mapped__matrix.html#a25a617e4f26e5fd2e8ec81c288f82cb8">viennacl::device_specific::mapped_matrix</a>
, <a class="el" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">viennacl::matrix_base< NumericT, SizeT, DistanceT ></a>
</li>
<li>row_num
: <a class="el" href="structtest_data.html#a221ded1c886a86b39e9fef197af7c58b">testData</a>
</li>
<li>row_scaling()
: <a class="el" href="classviennacl_1_1linalg_1_1row__scaling_3_01_matrix_type_00_01true_01_4.html#a1bd03c552dcc799006641e233da7c301">viennacl::linalg::row_scaling< MatrixType, true ></a>
, <a class="el" href="classviennacl_1_1linalg_1_1row__scaling.html#aa72db3a13d55bccc107e4c83e6663aee">viennacl::linalg::row_scaling< MatrixType, is_viennacl ></a>
</li>
<li>row_scaling_tag()
: <a class="el" href="classviennacl_1_1linalg_1_1row__scaling__tag.html#a3c3bfb1f173289eb5e5e8e91c59d4e7d">viennacl::linalg::row_scaling_tag</a>
</li>
<li>rows_per_block()
: <a class="el" href="classviennacl_1_1sliced__ell__matrix.html#aa9a7f4003687cae9a2af97f9fa328db5">viennacl::sliced_ell_matrix< ScalarT, IndexT ></a>
</li>
</ul>
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