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<p>Call an implementation of the data matrix operations.
<a href="#details">More...</a></p>
<p><a href="dsdpdatamat_8c_source.html">Go to the source code of this file.</a></p>
<table class="memberdecls">
<tr><td colspan="2"><h2><a name="func-members"></a>
Functions</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#a2b122840bbfaf126f620fc0956ef410a">DSDPDataMatAddMultiple</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A, double ytmp, double *v, int nn, int n)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Add a multiple the data matrix to the array. <a href="#a2b122840bbfaf126f620fc0956ef410a"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#ab728c1dc951c326d197490022b917c52">DSDPDataMatCountNonzeros</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A, int *nnz, int n)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Compute the square of the Frobenius norm. <a href="#ab728c1dc951c326d197490022b917c52"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#a44164e8327976dcd8ca234346428d9d7">DSDPDataMatDestroy</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> *A)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Free the data structures. <a href="#a44164e8327976dcd8ca234346428d9d7"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#a9c1e1ef6e29007fbe790c8f4935d0cf9">DSDPDataMatDot</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A, double x[], int nn, int n, double *v)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Compute inner product of data with a dense matrix. <a href="#a9c1e1ef6e29007fbe790c8f4935d0cf9"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#ae6ea3e2980cd0781f29a1afba6307341">DSDPDataMatFactor</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A, <a class="el" href="structSDPConeVec__C.html">SDPConeVec</a> W, double *dworknn, int nn0, double *dwork3n, int nd, int *iwork, int ni)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Do eigenvalue/vector or other factorization. <a href="#ae6ea3e2980cd0781f29a1afba6307341"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#acbe7617266068f6ae91884e7652c2e71">DSDPDataMatFNorm2</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A, int n, double *fnorm2)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Compute the square of the Frobenius norm. <a href="#acbe7617266068f6ae91884e7652c2e71"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#a5a0f6c719037c1998630768a34685414">DSDPDataMatGetEig</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A, int rr, <a class="el" href="structSDPConeVec__C.html">SDPConeVec</a> V, DSDPIndex S, double *eigenvalue)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Get an eigenvalue/vector pair. <a href="#a5a0f6c719037c1998630768a34685414"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#a935d091cc12e6ce7ec0a8126b4f18df1">DSDPDataMatGetRank</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A, int *rank, int n)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Get the number of nonzero eigenvalues/eigenvectors for the matrix. <a href="#a935d091cc12e6ce7ec0a8126b4f18df1"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#a553eea44af8175e91ee95881df37dc76">DSDPDataMatGetRowNonzeros</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A, int nrow, int nmax, int *nz, int *nnz)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Get sparsity pattern of a row of the matrix. <a href="#a553eea44af8175e91ee95881df37dc76"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#af1e1ced742957d981e57ca7bb042bd84">DSDPDataMatInitialize</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> *A)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Set pointers to NULL;. <a href="#af1e1ced742957d981e57ca7bb042bd84"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#a5d7a246134aa5186463e0f1f0fd561bd">DSDPDataMatOpsInitialize</a> (struct <a class="el" href="structDSDPDataMat__Ops.html">DSDPDataMat_Ops</a> *dops)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Initialize the table of function pointers for SDP Data matrices. <a href="#a5d7a246134aa5186463e0f1f0fd561bd"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#a830de0c064b4d8b3109755fe0c3db05c">DSDPDataMatSetData</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> *A, struct <a class="el" href="structDSDPDataMat__Ops.html">DSDPDataMat_Ops</a> *ops, void *data)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Set the opaque pointer and function pointers to the matrix. <a href="#a830de0c064b4d8b3109755fe0c3db05c"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#ad664aefaf46e5967727acc54339e23f8">DSDPDataMatTest</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Test validity of matrix. <a href="#ad664aefaf46e5967727acc54339e23f8"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#a3aab539bab77a672bd8c941016cf221e">DSDPDataMatVecVec</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A, <a class="el" href="structSDPConeVec__C.html">SDPConeVec</a> W, double *v)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Compute w' A w. <a href="#a3aab539bab77a672bd8c941016cf221e"></a><br/></td></tr>
<tr><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="dsdpdatamat_8c.html#a62c8f354eb4dd1e2214670cf4b262b5f">DSDPDataMatView</a> (<a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> A)</td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Print matrix. <a href="#a62c8f354eb4dd1e2214670cf4b262b5f"></a><br/></td></tr>
</table>
<hr/><a name="details" id="details"></a><h2>Detailed Description</h2>
<div class="textblock"><p>Call an implementation of the data matrix operations. </p>
<p>Definition in file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
</div><hr/><h2>Function Documentation</h2>
<a class="anchor" id="a2b122840bbfaf126f620fc0956ef410a"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatAddMultiple" ref="a2b122840bbfaf126f620fc0956ef410a" args="(DSDPDataMat A, double ytmp, double *v, int nn, int n)" -->
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<td class="memname">int DSDPDataMatAddMultiple </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">double </td>
<td class="paramname"><em>ytmp</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">double * </td>
<td class="paramname"><em>v</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>nn</em>, </td>
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<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>n</em> </td>
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<td>)</td>
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<p>Add a multiple the data matrix to the array. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
<tr><td class="paramname">ytmp</td><td>scalar multiple </td></tr>
<tr><td class="paramname">v</td><td>dense array matrix </td></tr>
<tr><td class="paramname">nn</td><td>dimension of array </td></tr>
<tr><td class="paramname">n</td><td>dimension of matrix</td></tr>
</table>
</dd>
</dl>
<dl class="see"><dt><b>See also:</b></dt><dd><a class="el" href="group__SDPData.html#gadb309e9fe9d1cbc1a0e3a30d051be2aa" title="Set the dense storage format of a block in the semidefinite cone.">SDPConeSetStorageFormat()</a> </dd>
<dd>
<a class="el" href="dsdpxmat_8c.html#a3601c3a4974f85d70476152aeebb8a6d" title="Get the array that stores the matrix.">DSDPVMatGetArray()</a> </dd></dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00402">402</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00020">DSDPBlockASum()</a>, and <a class="el" href="dsdpblock_8c_source.html#l00498">DSDPDataMatCheck()</a>.</p>
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<a class="anchor" id="ab728c1dc951c326d197490022b917c52"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatCountNonzeros" ref="ab728c1dc951c326d197490022b917c52" args="(DSDPDataMat A, int *nnz, int n)" -->
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<td class="memname">int DSDPDataMatCountNonzeros </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int * </td>
<td class="paramname"><em>nnz</em>, </td>
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<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>n</em> </td>
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<td>)</td>
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<p>Compute the square of the Frobenius norm. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix. </td></tr>
<tr><td class="paramname">n</td><td>dimension of the matrix. </td></tr>
<tr><td class="paramname">*nnz</td><td>nonzeros in matrix.</td></tr>
</table>
</dd>
</dl>
<p>Used to identify which of a few strategies to compute Hessian. </p>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00152">152</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
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<a class="anchor" id="a44164e8327976dcd8ca234346428d9d7"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatDestroy" ref="a44164e8327976dcd8ca234346428d9d7" args="(DSDPDataMat *A)" -->
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<td class="memname">int DSDPDataMatDestroy </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> * </td>
<td class="paramname"><em>A</em></td><td>)</td>
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<p>Free the data structures. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00444">444</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00381">DSDPBlockAddDataMatrix()</a>, <a class="el" href="dsdpblock_8c_source.html#l00195">DSDPBlockDataDestroy()</a>, and <a class="el" href="dsdpblock_8c_source.html#l00351">DSDPBlockRemoveDataMatrix()</a>.</p>
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<a class="anchor" id="a9c1e1ef6e29007fbe790c8f4935d0cf9"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatDot" ref="a9c1e1ef6e29007fbe790c8f4935d0cf9" args="(DSDPDataMat A, double x[], int nn, int n, double *v)" -->
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<td class="memname">int DSDPDataMatDot </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">double </td>
<td class="paramname"><em>x</em>[], </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>nn</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>n</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">double * </td>
<td class="paramname"><em>v</em> </td>
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<td>)</td>
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<p>Compute inner product of data with a dense matrix. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
<tr><td class="paramname">x</td><td>dense array matrix </td></tr>
<tr><td class="paramname">nn</td><td>length of array </td></tr>
<tr><td class="paramname">n</td><td>dimension of matrix. </td></tr>
<tr><td class="paramname">v</td><td>the inner product</td></tr>
</table>
</dd>
</dl>
<dl class="see"><dt><b>See also:</b></dt><dd><a class="el" href="group__SDPData.html#gadb309e9fe9d1cbc1a0e3a30d051be2aa" title="Set the dense storage format of a block in the semidefinite cone.">SDPConeSetStorageFormat()</a> </dd>
<dd>
<a class="el" href="dsdpxmat_8c.html#a3601c3a4974f85d70476152aeebb8a6d" title="Get the array that stores the matrix.">DSDPVMatGetArray()</a> </dd></dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00273">273</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00049">DSDPBlockADot()</a>, and <a class="el" href="dsdpblock_8c_source.html#l00498">DSDPDataMatCheck()</a>.</p>
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<a class="anchor" id="ae6ea3e2980cd0781f29a1afba6307341"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatFactor" ref="ae6ea3e2980cd0781f29a1afba6307341" args="(DSDPDataMat A, SDPConeVec W, double *dworknn, int nn0, double *dwork3n, int nd, int *iwork, int ni)" -->
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<td class="memname">int DSDPDataMatFactor </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structSDPConeVec__C.html">SDPConeVec</a> </td>
<td class="paramname"><em>W</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">double * </td>
<td class="paramname"><em>dworknn</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>nn0</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">double * </td>
<td class="paramname"><em>dwork3n</em>, </td>
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<td class="paramtype">int </td>
<td class="paramname"><em>nd</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int * </td>
<td class="paramname"><em>iwork</em>, </td>
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<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>ni</em> </td>
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<td></td>
<td>)</td>
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<p>Do eigenvalue/vector or other factorization. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
<tr><td class="paramname">W</td><td>work vector </td></tr>
<tr><td class="paramname">dworknn</td><td>work array </td></tr>
<tr><td class="paramname">nn0</td><td>length of dworknn array. </td></tr>
<tr><td class="paramname">dwork3n</td><td>work array </td></tr>
<tr><td class="paramname">nd</td><td>length of work array </td></tr>
<tr><td class="paramname">iwork</td><td>work array </td></tr>
<tr><td class="paramname">ni</td><td>length of iwork array</td></tr>
</table>
</dd>
</dl>
<p>This routine is called once during the DSDPSetUp routine.</p>
<dl class="see"><dt><b>See also:</b></dt><dd><a class="el" href="dsdpdatamat_8c.html#a935d091cc12e6ce7ec0a8126b4f18df1" title="Get the number of nonzero eigenvalues/eigenvectors for the matrix.">DSDPDataMatGetRank()</a> </dd>
<dd>
<a class="el" href="dsdpdatamat_8c.html#a5a0f6c719037c1998630768a34685414" title="Get an eigenvalue/vector pair.">DSDPDataMatGetEig()</a> </dd></dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00240">240</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00113">DSDPBlockFactorData()</a>.</p>
</div>
</div>
<a class="anchor" id="acbe7617266068f6ae91884e7652c2e71"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatFNorm2" ref="acbe7617266068f6ae91884e7652c2e71" args="(DSDPDataMat A, int n, double *fnorm2)" -->
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<td class="memname">int DSDPDataMatFNorm2 </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>n</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">double * </td>
<td class="paramname"><em>fnorm2</em> </td>
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<tr>
<td></td>
<td>)</td>
<td></td><td></td>
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<div class="memdoc">
<p>Compute the square of the Frobenius norm. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix. </td></tr>
<tr><td class="paramname">n</td><td>dimension of the matrix. </td></tr>
<tr><td class="paramname">fnorm2</td><td>square of norm.</td></tr>
</table>
</dd>
</dl>
<p>Used to scale the problem </p>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00175">175</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00498">DSDPDataMatCheck()</a>.</p>
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<a class="anchor" id="a5a0f6c719037c1998630768a34685414"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatGetEig" ref="a5a0f6c719037c1998630768a34685414" args="(DSDPDataMat A, int rr, SDPConeVec V, DSDPIndex S, double *eigenvalue)" -->
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<td class="memname">int DSDPDataMatGetEig </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>rr</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structSDPConeVec__C.html">SDPConeVec</a> </td>
<td class="paramname"><em>V</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">DSDPIndex </td>
<td class="paramname"><em>S</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">double * </td>
<td class="paramname"><em>eigenvalue</em> </td>
</tr>
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<td></td>
<td>)</td>
<td></td><td></td>
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<p>Get an eigenvalue/vector pair. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
<tr><td class="paramname">rr</td><td>identifies which pair of eigs, (0 <= rr < rank) </td></tr>
<tr><td class="paramname">V</td><td>Eigenvector </td></tr>
<tr><td class="paramname">S</td><td>Indentifies sparsity pattern in V. </td></tr>
<tr><td class="paramname">eigenvalue</td><td>the scalar associated with the vector. These pairs do not have to be eigenvalues and eigenvectors. What matters is that the matrix is a sum of the outer products of these vectors. That is, A = sum (rr * V *V') </td></tr>
</table>
</dd>
</dl>
<dl class="see"><dt><b>See also:</b></dt><dd><a class="el" href="dsdpdatamat_8c.html#a935d091cc12e6ce7ec0a8126b4f18df1" title="Get the number of nonzero eigenvalues/eigenvectors for the matrix.">DSDPDataMatGetRank()</a> </dd></dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00204">204</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00498">DSDPDataMatCheck()</a>, <a class="el" href="sdpcompute_8c_source.html#l00030">SDPConeComputeHessian()</a>, <a class="el" href="sdpcompute_8c_source.html#l00125">SDPConeComputeRHS()</a>, <a class="el" href="sdpcompute_8c_source.html#l00235">SDPConeComputeXX()</a>, and <a class="el" href="sdpcompute_8c_source.html#l00182">SDPConeMultiply()</a>.</p>
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<a class="anchor" id="a935d091cc12e6ce7ec0a8126b4f18df1"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatGetRank" ref="a935d091cc12e6ce7ec0a8126b4f18df1" args="(DSDPDataMat A, int *rank, int n)" -->
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<td class="memname">int DSDPDataMatGetRank </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int * </td>
<td class="paramname"><em>rank</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>n</em> </td>
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<td></td>
<td>)</td>
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<p>Get the number of nonzero eigenvalues/eigenvectors for the matrix. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
<tr><td class="paramname">rank</td><td>number of nonzero eigenvalues and vectors. </td></tr>
<tr><td class="paramname">n</td><td>rows and columns in matrix. </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00129">129</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00498">DSDPDataMatCheck()</a>, <a class="el" href="sdpcompute_8c_source.html#l00030">SDPConeComputeHessian()</a>, <a class="el" href="sdpcompute_8c_source.html#l00125">SDPConeComputeRHS()</a>, <a class="el" href="sdpcompute_8c_source.html#l00235">SDPConeComputeXX()</a>, and <a class="el" href="sdpcompute_8c_source.html#l00182">SDPConeMultiply()</a>.</p>
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<a class="anchor" id="a553eea44af8175e91ee95881df37dc76"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatGetRowNonzeros" ref="a553eea44af8175e91ee95881df37dc76" args="(DSDPDataMat A, int nrow, int nmax, int *nz, int *nnz)" -->
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<td class="memname">int DSDPDataMatGetRowNonzeros </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>nrow</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"><em>nmax</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int * </td>
<td class="paramname"><em>nz</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">int * </td>
<td class="paramname"><em>nnz</em> </td>
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<td></td>
<td>)</td>
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<p>Get sparsity pattern of a row of the matrix. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix. </td></tr>
<tr><td class="paramname">nrow</td><td>number >=0 and < n. </td></tr>
<tr><td class="paramname">nmax</td><td>dimension of the matrix. </td></tr>
<tr><td class="paramname">nz</td><td>array used to mark nonzeros. </td></tr>
<tr><td class="paramname">nnz</td><td>number of nonzeros in row. Used to create sparse data structure for S and Delta S. </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00355">355</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00330">DSDPBlockDataRowSparsity()</a>.</p>
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<a class="anchor" id="af1e1ced742957d981e57ca7bb042bd84"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatInitialize" ref="af1e1ced742957d981e57ca7bb042bd84" args="(DSDPDataMat *A)" -->
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<td class="memname">int DSDPDataMatInitialize </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> * </td>
<td class="paramname"><em>A</em></td><td>)</td>
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<p>Set pointers to NULL;. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00078">78</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00221">DSDPBlockDataAllocate()</a>, and <a class="el" href="dsdpdatamat_8c_source.html#l00444">DSDPDataMatDestroy()</a>.</p>
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<a class="anchor" id="a5d7a246134aa5186463e0f1f0fd561bd"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatOpsInitialize" ref="a5d7a246134aa5186463e0f1f0fd561bd" args="(struct DSDPDataMat_Ops *dops)" -->
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<td class="memname">int DSDPDataMatOpsInitialize </td>
<td>(</td>
<td class="paramtype">struct <a class="el" href="structDSDPDataMat__Ops.html">DSDPDataMat_Ops</a> * </td>
<td class="paramname"><em>dops</em></td><td>)</td>
<td></td>
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<p>Initialize the table of function pointers for SDP Data matrices. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">dops</td><td>pointer to a structure of function pointers. </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00047">47</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpdatamat_8c_source.html#l00078">DSDPDataMatInitialize()</a>, and <a class="el" href="dsdpdatamat_8c_source.html#l00025">DSDPDataMatSetData()</a>.</p>
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<a class="anchor" id="a830de0c064b4d8b3109755fe0c3db05c"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatSetData" ref="a830de0c064b4d8b3109755fe0c3db05c" args="(DSDPDataMat *A, struct DSDPDataMat_Ops *ops, void *data)" -->
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<td class="memname">int DSDPDataMatSetData </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> * </td>
<td class="paramname"><em>A</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">struct <a class="el" href="structDSDPDataMat__Ops.html">DSDPDataMat_Ops</a> * </td>
<td class="paramname"><em>ops</em>, </td>
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<td></td>
<td class="paramtype">void * </td>
<td class="paramname"><em>data</em> </td>
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<p>Set the opaque pointer and function pointers to the matrix. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
<tr><td class="paramname">ops</td><td>pointer to a structure of function pointers </td></tr>
<tr><td class="paramname">data</td><td>pointer to a matrix structure </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00025">25</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00381">DSDPBlockAddDataMatrix()</a>, <a class="el" href="dsdpdatamat_8c_source.html#l00078">DSDPDataMatInitialize()</a>, and <a class="el" href="dsdpadddatamat_8c_source.html#l00537">DSDPSetDataMatZero()</a>.</p>
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<a class="anchor" id="ad664aefaf46e5967727acc54339e23f8"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatTest" ref="ad664aefaf46e5967727acc54339e23f8" args="(DSDPDataMat A)" -->
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<td class="memname">int DSDPDataMatTest </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em></td><td>)</td>
<td></td>
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<p>Test validity of matrix. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00096">96</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpdatamat_8c_source.html#l00025">DSDPDataMatSetData()</a>.</p>
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<a class="anchor" id="a3aab539bab77a672bd8c941016cf221e"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatVecVec" ref="a3aab539bab77a672bd8c941016cf221e" args="(DSDPDataMat A, SDPConeVec W, double *v)" -->
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<td class="memname">int DSDPDataMatVecVec </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structSDPConeVec__C.html">SDPConeVec</a> </td>
<td class="paramname"><em>W</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">double * </td>
<td class="paramname"><em>v</em> </td>
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<td></td>
<td>)</td>
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<p>Compute w' A w. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
<tr><td class="paramname">W</td><td>vector </td></tr>
<tr><td class="paramname">v</td><td>the inner product </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00297">297</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00084">DSDPBlockvAv()</a>, and <a class="el" href="dsdpblock_8c_source.html#l00498">DSDPDataMatCheck()</a>.</p>
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<a class="anchor" id="a62c8f354eb4dd1e2214670cf4b262b5f"></a><!-- doxytag: member="dsdpdatamat.c::DSDPDataMatView" ref="a62c8f354eb4dd1e2214670cf4b262b5f" args="(DSDPDataMat A)" -->
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<td class="memname">int DSDPDataMatView </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structDSDPDataMat__C.html">DSDPDataMat</a> </td>
<td class="paramname"><em>A</em></td><td>)</td>
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<p>Print matrix. </p>
<dl><dt><b>Parameters:</b></dt><dd>
<table class="params">
<tr><td class="paramname">A</td><td>symmetric data matrix </td></tr>
</table>
</dd>
</dl>
<p>Definition at line <a class="el" href="dsdpdatamat_8c_source.html#l00423">423</a> of file <a class="el" href="dsdpdatamat_8c_source.html">dsdpdatamat.c</a>.</p>
<p>Referenced by <a class="el" href="dsdpblock_8c_source.html#l00474">DSDPBlockView2()</a>, and <a class="el" href="dsdpadddata_8c_source.html#l00205">SDPConeViewDataMatrix()</a>.</p>
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