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Merge pull request #5 from jchristopherson/Development
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Development
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jchristopherson authored Jul 19, 2018
2 parents e8417f4 + 11aa55e commit eb76a6e
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77 changes: 30 additions & 47 deletions doc/html/annotated.html
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<tr id="row_1_"><td class="entry"><span style="width:0px;display:inline-block;">&#160;</span><span id="arr_1_" class="arrow" onclick="toggleFolder('1_')">&#9660;</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacelinalg__immutable.html" target="_self">linalg_immutable</a></td><td class="desc"><b><a class="el" href="namespacelinalg__immutable.html" title="linalg_immutable ">linalg_immutable</a></b> </td></tr>
<tr id="row_1_0_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structlinalg__immutable_1_1eigen__results.html" target="_self">eigen_results</a></td><td class="desc">Defines a container for the output of an Eigen analysis of a square matrix </td></tr>
<tr id="row_1_1_"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structlinalg__immutable_1_1lu__results.html" target="_self">lu_results</a></td><td class="desc">Defines a container for the output of an LU factorization </td></tr>
<tr id="row_1_2_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__eigen.html" target="_self">mat_eigen</a></td><td class="desc">Computes the eigenvalues and eigenvectors (right) of a general N-by-N matrix </td></tr>
<tr id="row_1_3_"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__mult__diag.html" target="_self">mat_mult_diag</a></td><td class="desc">Computes the matrix operation: C = A * B, where A is a diagonal matrix </td></tr>
<tr id="row_1_4_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__mult__lower__tri.html" target="_self">mat_mult_lower_tri</a></td><td class="desc">Computes the matrix operation C = A * B, where A is a lower triangular matrix </td></tr>
<tr id="row_1_5_"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__mult__upper__tri.html" target="_self">mat_mult_upper_tri</a></td><td class="desc">Computes the matrix operation C = A * B, where A is an upper triangular matrix </td></tr>
<tr id="row_1_6_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__solve__lower__tri.html" target="_self">mat_solve_lower_tri</a></td><td class="desc">Solves the lower triangular system A X = B, where A is a lower triangular matrix </td></tr>
<tr id="row_1_7_"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__solve__upper__tri.html" target="_self">mat_solve_upper_tri</a></td><td class="desc">Solves the upper triangular system A X = B, where A is an upper triangular matrix </td></tr>
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<tr id="row_1_9_"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structlinalg__immutable_1_1svd__results.html" target="_self">svd_results</a></td><td class="desc">Defines a container for the output of a singular value decomposition of a matrix </td></tr>
<tr id="row_1_2_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structlinalg__immutable_1_1lu__results__cmplx.html" target="_self">lu_results_cmplx</a></td><td class="desc">Defines a container for the output of an LU factorization </td></tr>
<tr id="row_1_3_"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__eigen.html" target="_self">mat_eigen</a></td><td class="desc">Computes the eigenvalues and eigenvectors (right) of a general N-by-N matrix </td></tr>
<tr id="row_1_4_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__lu.html" target="_self">mat_lu</a></td><td class="desc">Computes the LU factorization of a square matrix. Notice, partial row pivoting is utilized </td></tr>
<tr id="row_1_5_"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__mult__diag.html" target="_self">mat_mult_diag</a></td><td class="desc">Computes the matrix operation: C = A * B, where A is a diagonal matrix </td></tr>
<tr id="row_1_6_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__mult__lower__tri.html" target="_self">mat_mult_lower_tri</a></td><td class="desc">Computes the matrix operation C = A * B, where A is a lower triangular matrix </td></tr>
<tr id="row_1_7_"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__mult__upper__tri.html" target="_self">mat_mult_upper_tri</a></td><td class="desc">Computes the matrix operation C = A * B, where A is an upper triangular matrix </td></tr>
<tr id="row_1_8_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="interfacelinalg__immutable_1_1mat__solve__lower__tri.html" target="_self">mat_solve_lower_tri</a></td><td class="desc">Solves the lower triangular system A X = B, where A is a lower triangular matrix </td></tr>
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<tr id="row_1_10_" class="even"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structlinalg__immutable_1_1qr__results.html" target="_self">qr_results</a></td><td class="desc">Defines a container for the output of a QR factorization </td></tr>
<tr id="row_1_11_"><td class="entry"><span style="width:32px;display:inline-block;">&#160;</span><span class="icona"><span class="icon">C</span></span><a class="el" href="structlinalg__immutable_1_1svd__results.html" target="_self">svd_results</a></td><td class="desc">Defines a container for the output of a singular value decomposition of a matrix </td></tr>
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