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viennacl 1.7.1%2Bdfsg1-6
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<tr id="row_3_4_3_7_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</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;">&#160;</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>
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<tr id="row_3_4_3_10_" class="even" style="display:none;"><td class="entry"><span style="width:64px;display:inline-block;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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>
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<tr id="row_3_4_36_" class="even" style="display:none;"><td class="entry"><span style="width:48px;display:inline-block;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</span><span id="arr_3_5_" class="arrow" onclick="toggleFolder('3_5_')">&#9658;</span><span id="img_3_5_" class="iconfclosed" onclick="toggleFolder('3_5_')">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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>
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<tr id="row_3_11_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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;">&#160;</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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