<tr class="memdesc:namespaceGooseFEM_1_1Iterate"><td class="mdescLeft"> </td><td class="mdescRight">Support function for iterations in end-user programs. <br /></td></tr>
<tr class="memdesc:namespaceGooseFEM_1_1Tyings"><td class="mdescLeft"> </td><td class="mdescRight">Tools to store and apply nodal/DOF tyings. <br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">CRTP base class for a matrix. <a href="classGooseFEM_1_1MatrixBase.html#details">More...</a><br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">CRTP base class for a partitioned matrix with tying. <a href="classGooseFEM_1_1MatrixDiagonalBase.html#details">More...</a><br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Sparse matrix partitioned in an unknown and a prescribed part. <a href="classGooseFEM_1_1MatrixPartitioned.html#details">More...</a><br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">CRTP base class for a partitioned matrix. <a href="classGooseFEM_1_1MatrixPartitionedBase.html#details">More...</a><br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Sparse matrix from with dependent DOFs are eliminated, and the remaining (small) independent system is partitioned in an unknown and a prescribed part. <a href="classGooseFEM_1_1MatrixPartitionedTyings.html#details">More...</a><br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">CRTP base class for a partitioned matrix with tying. <a href="classGooseFEM_1_1MatrixPartitionedTyingsBase.html#details">More...</a><br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Solve \( x = A^{-1} b \), for <code>A</code> of the <a class="el" href="classGooseFEM_1_1Matrix.html" title="Sparse matrix.">GooseFEM::Matrix()</a> class. <a href="classGooseFEM_1_1MatrixSolver.html#details">More...</a><br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">CRTP base class for a solver class. <a href="classGooseFEM_1_1MatrixSolverBase.html#details">More...</a><br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">CRTP base class for a extra functions for a partitioned solver class. <a href="classGooseFEM_1_1MatrixSolverPartitionedBase.html#details">More...</a><br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">CRTP base class for a solver class. <a href="classGooseFEM_1_1MatrixSolverSingleBase.html#details">More...</a><br /></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Class to switch between storage types, based on a mesh and DOFs that are partitioned in: <a href="classGooseFEM_1_1VectorPartitioned.html#details">More...</a><br /></td></tr>
<tr class="memdesc:ae97cd438b259a7ed4c0414cb40817b36"><td class="mdescLeft"> </td><td class="mdescRight">"Broadcast" a scalar stored in an array (e.g. <br /></td></tr>
<tr class="memitem:acb082fa83b6ad7cf3a04bd7a181cce81" id="r_acb082fa83b6ad7cf3a04bd7a181cce81"><td class="memTemplParams" colspan="2">template<class T , class S > </td></tr>
<tr class="memitem:acb082fa83b6ad7cf3a04bd7a181cce81"><td class="memTemplItemLeft" align="right" valign="top">auto </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="#acb082fa83b6ad7cf3a04bd7a181cce81">AsTensor</a> (const T &arg, const S &shape)</td></tr>
<tr class="memdesc:acb082fa83b6ad7cf3a04bd7a181cce81"><td class="mdescLeft"> </td><td class="mdescRight">"Broadcast" a scalar stored in an array (e.g. <br /></td></tr>
<tr class="memitem:a8664cf1049c77e8aab7b6a6a36b331a6" id="r_a8664cf1049c77e8aab7b6a6a36b331a6"><td class="memTemplParams" colspan="2">template<class T , class I , size_t L> </td></tr>
<tr class="memdesc:a8664cf1049c77e8aab7b6a6a36b331a6"><td class="mdescLeft"> </td><td class="mdescRight">"Broadcast" a scalar stored in an array (e.g. <br /></td></tr>
<tr class="memitem:a4b030695a10a6675a3ac744cae91fb18" id="r_a4b030695a10a6675a3ac744cae91fb18"><td class="memTemplParams" colspan="2">template<size_t rank, class T > </td></tr>
<tr class="memdesc:a4b030695a10a6675a3ac744cae91fb18"><td class="mdescLeft"> </td><td class="mdescRight">"Broadcast" a scalar stored in an array (e.g. <br /></td></tr>
<tr class="memdesc:ae104b1e65ffc417c046f5ff928383f2b"><td class="mdescLeft"> </td><td class="mdescRight">"Broadcast" a scalar stored in an array (e.g. <br /></td></tr>
<tr class="memdesc:a44250985d5b267678f934c824f062235"><td class="mdescLeft"> </td><td class="mdescRight">Zero-pad columns to a matrix until is that shape <code>[m, 3]</code>. <br /></td></tr>
<tr class="memdesc:aa169946ddb934c098cabaac0bf28d130"><td class="mdescLeft"> </td><td class="mdescRight">Returns true is a list is unique (has not duplicate items). <br /></td></tr>
<tr class="memdesc:a022c22b8131b0958dbf07d86ae08af16"><td class="mdescLeft"> </td><td class="mdescRight">Return version string, e.g. <br /></td></tr>
<tr class="memdesc:ae2657752229dbc35738f1971cfa363b1"><td class="mdescLeft"> </td><td class="mdescRight">Return versions of this library and of all of its dependencies. <br /></td></tr>
<dl class="section return"><dt>Returns</dt><dd>Corresponding "nodevec" in 3-d (<code>ret.shape(1) == 3</code>) </dd></dl>
<p class="definition">Definition at line <a class="el" href="Allocate_8h_source.html#l00223">223</a> of file <a class="el" href="Allocate_8h_source.html">Allocate.h</a>.</p>
<p>"Broadcast" a scalar stored in an array (e.g. </p>
<p><code>[r, s]</code>) to the same scalar of all tensor components of a tensor of certain rank (e.g. for rank 2: <code>[r, s, i, j]</code>).</p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">arg</td><td>An array with scalars. </td></tr>
<tr><td class="paramname">shape</td><td>The shape of the added tensor dimensions (e.g.: <code>[i, j]</code>). </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Corresponding array with tensors. </dd></dl>
<p class="definition">Definition at line <a class="el" href="Allocate_8h_source.html#l00176">176</a> of file <a class="el" href="Allocate_8h_source.html">Allocate.h</a>.</p>
<p>"Broadcast" a scalar stored in an array (e.g. </p>
<p><code>[r, s]</code>) to the same scalar of all tensor components of a tensor of certain rank (e.g. for rank 2: <code>[r, s, i, j]</code>).</p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">arg</td><td>An array with scalars. </td></tr>
<tr><td class="paramname">shape</td><td>The shape of the added tensor dimensions (e.g.: <code>[i, j]</code>). </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Corresponding array with tensors. </dd></dl>
<p class="definition">Definition at line <a class="el" href="Allocate_8h_source.html#l00167">167</a> of file <a class="el" href="Allocate_8h_source.html">Allocate.h</a>.</p>
<p>"Broadcast" a scalar stored in an array (e.g. </p>
<p><code>[r, s]</code>) to the same scalar of all tensor components of a tensor of certain rank (e.g. for rank 2: <code>[r, s, i, j]</code>).</p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">arg</td><td>An array with scalars. </td></tr>
<tr><td class="paramname">ret</td><td>Corresponding array with tensors. </td></tr>
</table>
</dd>
</dl>
<p class="definition">Definition at line <a class="el" href="Allocate_8h_source.html#l00153">153</a> of file <a class="el" href="Allocate_8h_source.html">Allocate.h</a>.</p>
<tr><td class="paramname">rank</td><td>Number of tensor dimensions (number of dimensions to add to the input). </td></tr>
</table>
</dd>
</dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">arg</td><td>An array with scalars. </td></tr>
<tr><td class="paramname">n</td><td>The shape along each of the added dimensions. </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Corresponding array with tensors. </dd></dl>
<p class="definition">Definition at line <a class="el" href="Allocate_8h_source.html#l00192">192</a> of file <a class="el" href="Allocate_8h_source.html">Allocate.h</a>.</p>
<p>"Broadcast" a scalar stored in an array (e.g. </p>
<p><code>[r, s]</code>) to the same scalar of all tensor components of a tensor of certain rank (e.g. for rank 2: <code>[r, s, n, n]</code>).</p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">rank</td><td>Number of tensor dimensions (number of dimensions to add to the input). </td></tr>
<tr><td class="paramname">arg</td><td>An array with scalars. </td></tr>
<tr><td class="paramname">n</td><td>The shape along each of the added dimensions. </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>Corresponding array with tensors. </dd></dl>
<p class="definition">Definition at line <a class="el" href="Allocate_8h_source.html#l00209">209</a> of file <a class="el" href="Allocate_8h_source.html">Allocate.h</a>.</p>
<dl class="section return"><dt>Returns</dt><dd><code>true</code> if <code>arg</code> is unique. </dd></dl>
<p class="definition">Definition at line <a class="el" href="assertions_8h_source.html#l00020">20</a> of file <a class="el" href="assertions_8h_source.html">assertions.h</a>.</p>
<p class="definition">Definition at line <a class="el" href="version_8h_source.html#l00055">55</a> of file <a class="el" href="version_8h_source.html">version.h</a>.</p>
<p>Return versions of this library and of all of its dependencies. </p>
<p>The output is a list of strings, e.g.:: </p><pre class="fragment"> "goosefem=0.7.0",
"xtensor=0.20.1"
...
</pre> <dl class="section return"><dt>Returns</dt><dd>List of strings. </dd></dl>
<p class="definition">Definition at line <a class="el" href="version_8h_source.html#l00070">70</a> of file <a class="el" href="version_8h_source.html">version.h</a>.</p>
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