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<div class="ttc" id="aclassgko_1_1matrix_1_1Csr_html"><div class="ttname"><a href="classgko_1_1matrix_1_1Csr.html">gko::matrix::Csr</a></div><div class="ttdoc">CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...</div><div class="ttdef"><b>Definition:</b> matrix.hpp:27</div></div>
<div class="ttc" id="aclassgko_1_1matrix_1_1Csr_html"><div class="ttname"><a href="classgko_1_1matrix_1_1Csr.html">gko::matrix::Csr</a></div><div class="ttdoc">CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...</div><div class="ttdef"><b>Definition:</b> matrix.hpp:28</div></div>
<div class="ttc" id="anamespacegko_1_1log_html_a15f71654c6c4f4defc95f9359343fa27a7cbf673200498a0d1324f4330825202a"><div class="ttname"><a href="namespacegko_1_1log.html#a15f71654c6c4f4defc95f9359343fa27a7cbf673200498a0d1324f4330825202a">gko::log::profile_event_category::solver</a></div><div class="ttdoc">Solver events.</div></div>
<div class="ttc" id="aclassgko_1_1log_1_1Convergence_html_aa67955ea9d1d18f15f0330d12b93d330"><div class="ttname"><a href="classgko_1_1log_1_1Convergence.html#aa67955ea9d1d18f15f0330d12b93d330">gko::log::Convergence::create</a></div><div class="ttdeci">static std::unique_ptr&lt; Convergence &gt; create(std::shared_ptr&lt; const Executor &gt;, const mask_type &amp;enabled_events=Logger::criterion_events_mask|Logger::iteration_complete_mask)</div><div class="ttdoc">Creates a convergence logger.</div><div class="ttdef"><b>Definition:</b> convergence.hpp:73</div></div>
<div class="ttc" id="anamespacegko_html_ae749a5ea11a93c1bcc9158d9a6e9fb68af1f713c9e000f5d3f280adbd124df4f5"><div class="ttname"><a href="namespacegko.html#ae749a5ea11a93c1bcc9158d9a6e9fb68af1f713c9e000f5d3f280adbd124df4f5">gko::layout_type::array</a></div><div class="ttdoc">The matrix should be written as dense matrix in column-major order.</div></div>
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&#160;<span id="projectnumber">Generated from pipelines/1497892161 branch based on develop. Ginkgo version 1.9.0</span>
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<div class="ttc" id="aclassgko_1_1batch_1_1matrix_1_1Csr_html_a0e10250e12081b416cc731293cd69695"><div class="ttname"><a href="classgko_1_1batch_1_1matrix_1_1Csr.html#a0e10250e12081b416cc731293cd69695">gko::batch::matrix::Csr::get_col_idxs</a></div><div class="ttdeci">index_type * get_col_idxs() noexcept</div><div class="ttdoc">Returns a pointer to the array of column indices of the matrix.</div><div class="ttdef"><b>Definition:</b> batch_csr.hpp:113</div></div>
<div class="ttc" id="aclassgko_1_1batch_1_1matrix_1_1Csr_html_a88b2c13a3649b87e15936ab8196c24b4"><div class="ttname"><a href="classgko_1_1batch_1_1matrix_1_1Csr.html#a88b2c13a3649b87e15936ab8196c24b4">gko::batch::matrix::Csr::create_const_view_for_item</a></div><div class="ttdeci">std::unique_ptr&lt; const unbatch_type &gt; create_const_view_for_item(size_type item_id) const</div><div class="ttdoc">Creates a mutable view (of matrix::Csr type) of one item of the batch::matrix::Csr&lt;value_type&gt; object...</div></div>
<div class="ttc" id="aclassgko_1_1batch_1_1matrix_1_1Csr_html_ad5dcee54b1e1176e497027d6d3932d0f"><div class="ttname"><a href="classgko_1_1batch_1_1matrix_1_1Csr.html#ad5dcee54b1e1176e497027d6d3932d0f">gko::batch::matrix::Csr::get_values_for_item</a></div><div class="ttdeci">value_type * get_values_for_item(size_type batch_id) noexcept</div><div class="ttdoc">Returns a pointer to the array of values of the matrix for a specific batch item.</div><div class="ttdef"><b>Definition:</b> batch_csr.hpp:176</div></div>
<div class="ttc" id="aclassgko_1_1matrix_1_1Csr_html"><div class="ttname"><a href="classgko_1_1matrix_1_1Csr.html">gko::matrix::Csr</a></div><div class="ttdoc">CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...</div><div class="ttdef"><b>Definition:</b> matrix.hpp:27</div></div>
<div class="ttc" id="aclassgko_1_1matrix_1_1Csr_html"><div class="ttname"><a href="classgko_1_1matrix_1_1Csr.html">gko::matrix::Csr</a></div><div class="ttdoc">CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...</div><div class="ttdef"><b>Definition:</b> matrix.hpp:28</div></div>
<div class="ttc" id="aclassgko_1_1batch_1_1BatchLinOp_html"><div class="ttname"><a href="classgko_1_1batch_1_1BatchLinOp.html">gko::batch::BatchLinOp</a></div><div class="ttdef"><b>Definition:</b> batch_lin_op.hpp:59</div></div>
<div class="ttc" id="aclassgko_1_1batch_1_1matrix_1_1Csr_html_aaec2239958d8a6b87563feb8b16159a0"><div class="ttname"><a href="classgko_1_1batch_1_1matrix_1_1Csr.html#aaec2239958d8a6b87563feb8b16159a0">gko::batch::matrix::Csr::create_view_for_item</a></div><div class="ttdeci">std::unique_ptr&lt; unbatch_type &gt; create_view_for_item(size_type item_id)</div><div class="ttdoc">Creates a mutable view (of matrix::Csr type) of one item of the batch::matrix::Csr&lt;value_type&gt; object...</div></div>
<div class="ttc" id="aclassgko_1_1batch_1_1matrix_1_1Csr_html_a0a1a48bfab7cfd9fe3eb5e5004c20525"><div class="ttname"><a href="classgko_1_1batch_1_1matrix_1_1Csr.html#a0a1a48bfab7cfd9fe3eb5e5004c20525">gko::batch::matrix::Csr::create</a></div><div class="ttdeci">static std::unique_ptr&lt; Csr &gt; create(std::shared_ptr&lt; const Executor &gt; exec, const batch_dim&lt; 2 &gt; &amp;size=batch_dim&lt; 2 &gt;{}, size_type num_nonzeros_per_item={})</div><div class="ttdoc">Creates an uninitialized Csr matrix of the specified size.</div></div>
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<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;<span class="preprocessor">#endif // GKO_PUBLIC_CORE_PRECONDITIONER_BATCH_JACOBI_HPP_</span></div>
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<div class="ttc" id="aclassgko_1_1batch_1_1EnableBatchLinOp_html"><div class="ttname"><a href="classgko_1_1batch_1_1EnableBatchLinOp.html">gko::batch::EnableBatchLinOp</a></div><div class="ttdoc">The EnableBatchLinOp mixin can be used to provide sensible default implementations of the majority of...</div><div class="ttdef"><b>Definition:</b> batch_lin_op.hpp:250</div></div>
<div class="ttc" id="aclassgko_1_1matrix_1_1Csr_html"><div class="ttname"><a href="classgko_1_1matrix_1_1Csr.html">gko::matrix::Csr</a></div><div class="ttdoc">CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...</div><div class="ttdef"><b>Definition:</b> matrix.hpp:27</div></div>
<div class="ttc" id="aclassgko_1_1matrix_1_1Csr_html"><div class="ttname"><a href="classgko_1_1matrix_1_1Csr.html">gko::matrix::Csr</a></div><div class="ttdoc">CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...</div><div class="ttdef"><b>Definition:</b> matrix.hpp:28</div></div>
<div class="ttc" id="aclassgko_1_1batch_1_1preconditioner_1_1Jacobi_html_a4d5fe04bfd88e13bbfcac393595707c7"><div class="ttname"><a href="classgko_1_1batch_1_1preconditioner_1_1Jacobi.html#a4d5fe04bfd88e13bbfcac393595707c7">gko::batch::preconditioner::Jacobi::get_num_blocks</a></div><div class="ttdeci">size_type get_num_blocks() const noexcept</div><div class="ttdoc">Returns the number of blocks in an individual batch entry.</div><div class="ttdef"><b>Definition:</b> batch_jacobi.hpp:109</div></div>
<div class="ttc" id="aclassgko_1_1batch_1_1BatchLinOp_html"><div class="ttname"><a href="classgko_1_1batch_1_1BatchLinOp.html">gko::batch::BatchLinOp</a></div><div class="ttdef"><b>Definition:</b> batch_lin_op.hpp:59</div></div>
<div class="ttc" id="aclassgko_1_1batch_1_1preconditioner_1_1Jacobi_html_a33328b011a3a2125774e4471da563181"><div class="ttname"><a href="classgko_1_1batch_1_1preconditioner_1_1Jacobi.html#a33328b011a3a2125774e4471da563181">gko::batch::preconditioner::Jacobi::get_max_block_size</a></div><div class="ttdeci">uint32 get_max_block_size() const noexcept</div><div class="ttdoc">Returns the max block size.</div><div class="ttdef"><b>Definition:</b> batch_jacobi.hpp:99</div></div>
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&#160;<span id="projectnumber">Generated from pipelines/1497892161 branch based on develop. Ginkgo version 1.9.0</span>
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<div id="projectbrief">A numerical linear algebra library targeting many-core architectures</div>
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