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<div class="title">dsdplp.c</div> </div>
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<a href="dsdplp_8c.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001
<a name="l00002"></a>00002 <span class="preprocessor">#include "<a class="code" href="dsdpcone__impl_8h.html" title="Implementations of a cone (SDP,LP,...) must provide a structure of function pointers.">dsdpcone_impl.h</a>"</span>
<a name="l00003"></a>00003 <span class="preprocessor">#include "<a class="code" href="dsdpsys_8h.html" title="Error handling, printing, and profiling.">dsdpsys.h</a>"</span>
<a name="l00004"></a>00004 <span class="preprocessor">#include "<a class="code" href="dsdp5_8h.html" title="The API to DSDP for those applications using DSDP as a subroutine library.">dsdp5.h</a>"</span>
<a name="l00005"></a>00005
<a name="l00006"></a>00006 <span class="preprocessor">#include <stdio.h></span>
<a name="l00007"></a>00007 <span class="preprocessor">#include <stdlib.h></span>
<a name="l00008"></a>00008 <span class="preprocessor">#include <math.h></span>
<a name="l00009"></a>00009 <span class="preprocessor">#include <string.h></span>
<a name="l00014"></a>00014 <span class="keyword">typedef</span> <span class="keyword">struct </span>{
<a name="l00015"></a>00015 <span class="keywordtype">int</span> nrow;
<a name="l00016"></a>00016 <span class="keywordtype">int</span> ncol;
<a name="l00017"></a>00017 <span class="keywordtype">int</span> owndata;
<a name="l00018"></a>00018
<a name="l00019"></a>00019 <span class="keyword">const</span> <span class="keywordtype">double</span> *an;
<a name="l00020"></a>00020 <span class="keyword">const</span> <span class="keywordtype">int</span> *col;
<a name="l00021"></a>00021 <span class="keyword">const</span> <span class="keywordtype">int</span> *nnz;
<a name="l00022"></a>00022 <span class="keywordtype">int</span> *nzrows;
<a name="l00023"></a>00023 <span class="keywordtype">int</span> nnzrows;
<a name="l00024"></a>00024
<a name="l00025"></a>00025 } smatx;
<a name="l00026"></a>00026
<a name="l00031"></a>00031 <span class="keyword">struct </span>LPCone_C{
<a name="l00032"></a>00032 smatx *A,*AT;
<a name="l00033"></a>00033 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> C;
<a name="l00034"></a>00034 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> PS,DS,X;
<a name="l00035"></a>00035 <span class="keywordtype">double</span> sscale;
<a name="l00036"></a>00036 <span class="keywordtype">double</span> r;
<a name="l00037"></a>00037 <span class="keywordtype">double</span> muscale;
<a name="l00038"></a>00038 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> Y,WY,WY2,WX,WX2;
<a name="l00039"></a>00039 <span class="keywordtype">double</span> *xout;
<a name="l00040"></a>00040 <span class="keywordtype">int</span> n,m;
<a name="l00041"></a>00041 };
<a name="l00042"></a>00042
<a name="l00043"></a>00043
<a name="l00044"></a>00044 <span class="keyword">static</span> <span class="keywordtype">int</span> CreateSpRowMatWdata(<span class="keywordtype">int</span>,<span class="keywordtype">int</span>,<span class="keyword">const</span> <span class="keywordtype">double</span>[], <span class="keyword">const</span> <span class="keywordtype">int</span>[], <span class="keyword">const</span> <span class="keywordtype">int</span>[],smatx **);
<a name="l00045"></a>00045 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatMult(smatx*,<span class="keyword">const</span> <span class="keywordtype">double</span>[], <span class="keywordtype">int</span> , <span class="keywordtype">double</span>[], <span class="keywordtype">int</span>);
<a name="l00046"></a>00046 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatMultTrans(smatx *, <span class="keyword">const</span> <span class="keywordtype">double</span>[],<span class="keywordtype">int</span>, <span class="keywordtype">double</span>[],<span class="keywordtype">int</span>);
<a name="l00047"></a>00047 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatGetRowVector(smatx*, <span class="keywordtype">int</span>, <span class="keywordtype">double</span>*,<span class="keywordtype">int</span>);
<a name="l00048"></a>00048 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatGetScaledRowVector(smatx*, <span class="keywordtype">int</span>, <span class="keyword">const</span> <span class="keywordtype">double</span>[], <span class="keywordtype">double</span>*, <span class="keywordtype">int</span>);
<a name="l00049"></a>00049 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatDestroy(smatx*);
<a name="l00050"></a>00050 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatView(smatx*);
<a name="l00051"></a>00051 <span class="comment">/*</span>
<a name="l00052"></a>00052 <span class="comment">static int SpRowMatGetSize(smatx *, int *, int *);</span>
<a name="l00053"></a>00053 <span class="comment">static int SpRowMatZero(smatx*);</span>
<a name="l00054"></a>00054 <span class="comment">static int SpRowMatAddRowMultiple(smatx*, int, double, double[], int);</span>
<a name="l00055"></a>00055 <span class="comment">*/</span>
<a name="l00056"></a>00056 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowIMultAdd(smatx*,<span class="keywordtype">int</span>*,<span class="keywordtype">int</span>,<span class="keywordtype">int</span> *,<span class="keywordtype">int</span>);
<a name="l00057"></a>00057 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatRowNnz(smatx*, <span class="keywordtype">int</span>, <span class="keywordtype">int</span>*,<span class="keywordtype">int</span>);
<a name="l00058"></a>00058 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatNorm2(smatx*, <span class="keywordtype">int</span>, <span class="keywordtype">double</span>*);
<a name="l00059"></a>00059
<a name="l00060"></a>00060
<a name="l00061"></a>00061 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00062"></a>00062 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeSetUp"</span>
<a name="l00063"></a>00063 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeSetup(<span class="keywordtype">void</span> *dcone,<a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> y){
<a name="l00064"></a>00064 <span class="keywordtype">int</span> m,info;
<a name="l00065"></a>00065 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00066"></a>00066 DSDPFunctionBegin;
<a name="l00067"></a>00067 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00068"></a>00068 m=lpcone->m;
<a name="l00069"></a>00069 info=DSDPVecCreateSeq(m+2,&lpcone->WY);DSDPCHKERR(info);
<a name="l00070"></a>00070 info=DSDPVecDuplicate(lpcone->WY,&lpcone->WY2);DSDPCHKERR(info);
<a name="l00071"></a>00071 info=DSDPVecDuplicate(lpcone->WY,&lpcone->Y);DSDPCHKERR(info);
<a name="l00072"></a>00072 info=DSDPVecDuplicate(lpcone->C,&lpcone->WX);DSDPCHKERR(info);
<a name="l00073"></a>00073 info=DSDPVecDuplicate(lpcone->C,&lpcone->WX2);DSDPCHKERR(info);
<a name="l00074"></a>00074 info=DSDPVecDuplicate(lpcone->C,&lpcone->PS);DSDPCHKERR(info);
<a name="l00075"></a>00075 info=DSDPVecDuplicate(lpcone->C,&lpcone->DS);DSDPCHKERR(info);
<a name="l00076"></a>00076 info=DSDPVecDuplicate(lpcone->C,&lpcone->X);DSDPCHKERR(info);
<a name="l00077"></a>00077 DSDPFunctionReturn(0);
<a name="l00078"></a>00078 }
<a name="l00079"></a>00079
<a name="l00080"></a>00080 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00081"></a>00081 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeSetUp2"</span>
<a name="l00082"></a>00082 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeSetup2(<span class="keywordtype">void</span> *dcone, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> Y, <a class="code" href="structDSDPSchurMat__C.html" title="Schur complement matrix whose solution is the Newton direction.">DSDPSchurMat</a> M){
<a name="l00083"></a>00083 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00084"></a>00084 DSDPFunctionBegin;
<a name="l00085"></a>00085 DSDPLogInfo(0,19,<span class="stringliteral">"Setup LP Cone of dimension: %d\n"</span>,lpcone->n);
<a name="l00086"></a>00086 DSDPFunctionReturn(0);
<a name="l00087"></a>00087 }
<a name="l00088"></a>00088
<a name="l00089"></a>00089
<a name="l00090"></a>00090 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00091"></a>00091 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeDestroy"</span>
<a name="l00092"></a>00092 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeDestroy(<span class="keywordtype">void</span> *dcone){
<a name="l00093"></a>00093 <span class="keywordtype">int</span> info;
<a name="l00094"></a>00094 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00095"></a>00095 DSDPFunctionBegin;
<a name="l00096"></a>00096 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00097"></a>00097 info=DSDPVecDestroy(&lpcone->DS);DSDPCHKERR(info);
<a name="l00098"></a>00098 info=DSDPVecDestroy(&lpcone->PS);DSDPCHKERR(info);
<a name="l00099"></a>00099 info=DSDPVecDestroy(&lpcone->C);DSDPCHKERR(info);
<a name="l00100"></a>00100 info=DSDPVecDestroy(&lpcone->X);DSDPCHKERR(info);
<a name="l00101"></a>00101 info=SpRowMatDestroy(lpcone->A);DSDPCHKERR(info);
<a name="l00102"></a>00102 info=DSDPVecDestroy(&lpcone->WX2);DSDPCHKERR(info);
<a name="l00103"></a>00103 info=DSDPVecDestroy(&lpcone->WY2);DSDPCHKERR(info);
<a name="l00104"></a>00104 info=DSDPVecDestroy(&lpcone->WY);DSDPCHKERR(info);
<a name="l00105"></a>00105 info=DSDPVecDestroy(&lpcone->Y);DSDPCHKERR(info);
<a name="l00106"></a>00106 info=DSDPVecDestroy(&lpcone->WX);DSDPCHKERR(info);
<a name="l00107"></a>00107 DSDPFREE(&lpcone,&info);DSDPCHKERR(info);
<a name="l00108"></a>00108 DSDPFunctionReturn(0);
<a name="l00109"></a>00109 }
<a name="l00110"></a>00110
<a name="l00111"></a>00111 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00112"></a>00112 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeSize"</span>
<a name="l00113"></a>00113 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeSize(<span class="keywordtype">void</span> *dcone, <span class="keywordtype">double</span> *n){
<a name="l00114"></a>00114 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00115"></a>00115 DSDPFunctionBegin;
<a name="l00116"></a>00116 *n=lpcone->muscale*lpcone->n;
<a name="l00117"></a>00117 DSDPFunctionReturn(0);
<a name="l00118"></a>00118 }
<a name="l00119"></a>00119
<a name="l00120"></a>00120
<a name="l00121"></a>00121
<a name="l00122"></a>00122 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00123"></a>00123 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPComputeAX"</span>
<a name="l00124"></a>00124 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPComputeAX( <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> X, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> Y){
<a name="l00125"></a>00125 <span class="keywordtype">int</span> info,m=lpcone->m,n=lpcone->n;
<a name="l00126"></a>00126 <span class="keywordtype">double</span> *x,*y,ppobj;
<a name="l00127"></a>00127 smatx *A=lpcone->A;
<a name="l00128"></a>00128 DSDPFunctionBegin;
<a name="l00129"></a>00129 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00130"></a>00130 info=DSDPVecGetSize(X,&n);DSDPCHKERR(info);
<a name="l00131"></a>00131 info=DSDPVecDot(lpcone->C,X,&ppobj);DSDPCHKERR(info);
<a name="l00132"></a>00132 info=DSDPVecSetC(Y,ppobj);
<a name="l00133"></a>00133 info=DSDPVecSum(X,&ppobj);DSDPCHKERR(info);
<a name="l00134"></a>00134 info=DSDPVecSetR(Y,ppobj*lpcone->r);DSDPCHKERR(info);
<a name="l00135"></a>00135 info=DSDPVecGetArray(Y,&y);DSDPCHKERR(info);
<a name="l00136"></a>00136 info=DSDPVecGetArray(X,&x);DSDPCHKERR(info);
<a name="l00137"></a>00137 info=SpRowMatMult(A,x,n,y+1,m);
<a name="l00138"></a>00138 info=DSDPVecRestoreArray(X,&x);DSDPCHKERR(info);
<a name="l00139"></a>00139 info=DSDPVecRestoreArray(Y,&y);DSDPCHKERR(info);
<a name="l00140"></a>00140 DSDPFunctionReturn(0);
<a name="l00141"></a>00141 }
<a name="l00142"></a>00142
<a name="l00143"></a>00143 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00144"></a>00144 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPComputeATY"</span>
<a name="l00145"></a>00145 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPComputeATY(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> Y, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> S){
<a name="l00146"></a>00146 <span class="keywordtype">int</span> info,m=lpcone->m,n=lpcone->n;
<a name="l00147"></a>00147 <span class="keywordtype">double</span> cc,r,*s,*y;
<a name="l00148"></a>00148 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> C=lpcone->C;
<a name="l00149"></a>00149 smatx *A=lpcone->A;
<a name="l00150"></a>00150 DSDPFunctionBegin;
<a name="l00151"></a>00151 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00152"></a>00152 info=DSDPVecGetC(Y,&cc);DSDPCHKERR(info);
<a name="l00153"></a>00153 info=DSDPVecGetR(Y,&r);DSDPCHKERR(info);
<a name="l00154"></a>00154 info=DSDPVecGetSize(S,&n);DSDPCHKERR(info);
<a name="l00155"></a>00155 info=DSDPVecGetArray(S,&s);DSDPCHKERR(info);
<a name="l00156"></a>00156 info=DSDPVecGetArray(Y,&y);DSDPCHKERR(info);
<a name="l00157"></a>00157 info=SpRowMatMultTrans(A,y+1,m,s,n); DSDPCHKERR(info);
<a name="l00158"></a>00158 info=DSDPVecRestoreArray(S,&s);DSDPCHKERR(info);
<a name="l00159"></a>00159 info=DSDPVecRestoreArray(Y,&y);DSDPCHKERR(info);
<a name="l00160"></a>00160 info=DSDPVecAXPY(cc,C,S);DSDPCHKERR(info);
<a name="l00161"></a>00161 info=DSDPVecShift(r*lpcone->r,S);DSDPCHKERR(info);
<a name="l00162"></a>00162 info=DSDPVecScale(-1.0,S);DSDPCHKERR(info);
<a name="l00163"></a>00163 DSDPFunctionReturn(0);
<a name="l00164"></a>00164 }
<a name="l00165"></a>00165 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00166"></a>00166 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeHessian"</span>
<a name="l00167"></a>00167 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeHessian(<span class="keywordtype">void</span>* dcone, <span class="keywordtype">double</span> mu, <a class="code" href="structDSDPSchurMat__C.html" title="Schur complement matrix whose solution is the Newton direction.">DSDPSchurMat</a> M,
<a name="l00168"></a>00168 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> vrhs1, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> vrhs2){
<a name="l00169"></a>00169 <span class="keywordtype">int</span> info,i,m,n,ncols;
<a name="l00170"></a>00170 <span class="keywordtype">double</span> r=1.0,*wx,*wx2;
<a name="l00171"></a>00171 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00172"></a>00172 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> WX=lpcone->WX,WX2=lpcone->WX2,WY=lpcone->WY,WY2=lpcone->WY2,S=lpcone->DS;
<a name="l00173"></a>00173 smatx *A=lpcone->A;
<a name="l00174"></a>00174
<a name="l00175"></a>00175 DSDPFunctionBegin;
<a name="l00176"></a>00176 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00177"></a>00177 mu*=lpcone->muscale;
<a name="l00178"></a>00178 info=DSDPVecGetSize(vrhs1,&m);DSDPCHKERR(info);
<a name="l00179"></a>00179 info=DSDPVecGetSize(WX,&n);DSDPCHKERR(info);
<a name="l00180"></a>00180 info=DSDPVecSet(mu,WX2);DSDPCHKERR(info);
<a name="l00181"></a>00181 info=DSDPVecPointwiseDivide(WX2,S,WX2);DSDPCHKERR(info);
<a name="l00182"></a>00182 info=DSDPVecPointwiseDivide(WX2,S,WX2);DSDPCHKERR(info);
<a name="l00183"></a>00183 <span class="keywordflow">for</span> (i=0;i<m;i++){
<a name="l00184"></a>00184
<a name="l00185"></a>00185 info=<a class="code" href="dsdpschurmat_8h.html#ac898fbdcd22765401a81682609dc897c" title="Get the scaling and nonzero pattern of each column in this row of the matrix.">DSDPSchurMatRowColumnScaling</a>(M,i,WY2,&ncols); DSDPCHKERR(info);
<a name="l00186"></a>00186 <span class="keywordflow">if</span> (ncols==0) <span class="keywordflow">continue</span>;
<a name="l00187"></a>00187
<a name="l00188"></a>00188 <span class="keywordflow">if</span> (i==0){
<a name="l00189"></a>00189 info=DSDPVecPointwiseMult(lpcone->C,WX2,WX); DSDPCHKERR(info);
<a name="l00190"></a>00190 } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (i==m-1){
<a name="l00191"></a>00191 info=DSDPVecScaleCopy(WX2,r,WX); DSDPCHKERR(info);
<a name="l00192"></a>00192 } <span class="keywordflow">else</span> {
<a name="l00193"></a>00193 info=DSDPVecGetArray(WX,&wx);
<a name="l00194"></a>00194 info=DSDPVecGetArray(WX2,&wx2);DSDPCHKERR(info);
<a name="l00195"></a>00195 info=SpRowMatGetScaledRowVector(A,i-1,wx2,wx,n);
<a name="l00196"></a>00196 info=DSDPVecRestoreArray(WX,&wx);
<a name="l00197"></a>00197 info=DSDPVecRestoreArray(WX2,&wx2);
<a name="l00198"></a>00198 }
<a name="l00199"></a>00199
<a name="l00200"></a>00200 info=LPComputeAX(lpcone,WX,WY);DSDPCHKERR(info);
<a name="l00201"></a>00201
<a name="l00202"></a>00202 info=DSDPVecPointwiseMult(WY2,WY,WY);DSDPCHKERR(info);
<a name="l00203"></a>00203
<a name="l00204"></a>00204 info=<a class="code" href="dsdpschurmat_8h.html#af719c02885dbf6f831e92e8f83ffa0b5" title="Add elements to a row of the Schur matrix.">DSDPSchurMatAddRow</a>(M,i,1.0,WY);DSDPCHKERR(info);
<a name="l00205"></a>00205 }
<a name="l00206"></a>00206
<a name="l00207"></a>00207 <span class="comment">/* Compute AS^{-1} */</span>
<a name="l00208"></a>00208 info=DSDPVecSet(mu,WX);DSDPCHKERR(info);
<a name="l00209"></a>00209 info=DSDPVecPointwiseDivide(WX,S,WX);DSDPCHKERR(info);
<a name="l00210"></a>00210 info=LPComputeAX(lpcone,WX,WY);DSDPCHKERR(info);
<a name="l00211"></a>00211
<a name="l00212"></a>00212 info=<a class="code" href="dsdpschurmat_8h.html#afa6d59fd28e2666d6fbeae8abf370dda" title="Get the scaling and nonzero pattern of each diagonal element of the matrix.">DSDPSchurMatDiagonalScaling</a>(M, WY2);DSDPCHKERR(info);
<a name="l00213"></a>00213 info=DSDPVecPointwiseMult(WY2,WY,WY);DSDPCHKERR(info);
<a name="l00214"></a>00214 info=DSDPVecAXPY(1.0,WY,vrhs2);DSDPCHKERR(info);
<a name="l00215"></a>00215
<a name="l00216"></a>00216 DSDPFunctionReturn(0);
<a name="l00217"></a>00217 }
<a name="l00218"></a>00218
<a name="l00219"></a>00219 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00220"></a>00220 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeHessian"</span>
<a name="l00221"></a>00221 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeRHS(<span class="keywordtype">void</span>* dcone, <span class="keywordtype">double</span> mu, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> vrow,
<a name="l00222"></a>00222 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> vrhs1, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> vrhs2){
<a name="l00223"></a>00223 <span class="keywordtype">int</span> info;
<a name="l00224"></a>00224 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00225"></a>00225 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> WX=lpcone->WX,WY=lpcone->WY,S=lpcone->DS;
<a name="l00226"></a>00226
<a name="l00227"></a>00227 DSDPFunctionBegin;
<a name="l00228"></a>00228 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00229"></a>00229 mu*=lpcone->muscale;
<a name="l00230"></a>00230
<a name="l00231"></a>00231 <span class="comment">/* Compute AS^{-1} */</span>
<a name="l00232"></a>00232 info=DSDPVecSet(mu,WX);DSDPCHKERR(info);
<a name="l00233"></a>00233 info=DSDPVecPointwiseDivide(WX,S,WX);DSDPCHKERR(info);
<a name="l00234"></a>00234 info=LPComputeAX(lpcone,WX,WY);DSDPCHKERR(info);
<a name="l00235"></a>00235
<a name="l00236"></a>00236 info=DSDPVecPointwiseMult(vrow,WY,WY);DSDPCHKERR(info);
<a name="l00237"></a>00237 info=DSDPVecAXPY(1.0,WY,vrhs2);DSDPCHKERR(info);
<a name="l00238"></a>00238
<a name="l00239"></a>00239 DSDPFunctionReturn(0);
<a name="l00240"></a>00240 }
<a name="l00241"></a>00241
<a name="l00242"></a>00242 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00243"></a>00243 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeMultiply"</span>
<a name="l00244"></a>00244 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeMultiply(<span class="keywordtype">void</span>* dcone, <span class="keywordtype">double</span> mu, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> vrow, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> vin, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> vout){
<a name="l00245"></a>00245 <span class="keywordtype">int</span> info;
<a name="l00246"></a>00246 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00247"></a>00247 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> WX=lpcone->WX,S=lpcone->DS,WY=lpcone->WY;
<a name="l00248"></a>00248 DSDPFunctionBegin;
<a name="l00249"></a>00249 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00250"></a>00250 mu*=lpcone->muscale;
<a name="l00251"></a>00251 info=LPComputeATY(lpcone,vin,WX);DSDPCHKERR(info);
<a name="l00252"></a>00252 info=DSDPVecPointwiseDivide(WX,S,WX);DSDPCHKERR(info);
<a name="l00253"></a>00253 info=DSDPVecScale(mu,WX);DSDPCHKERR(info);
<a name="l00254"></a>00254 info=DSDPVecPointwiseDivide(WX,S,WX);DSDPCHKERR(info);
<a name="l00255"></a>00255 info=LPComputeAX(lpcone,WX,WY);DSDPCHKERR(info);
<a name="l00256"></a>00256 info=DSDPVecPointwiseMult(WY,vrow,WY);DSDPCHKERR(info);
<a name="l00257"></a>00257 info=DSDPVecAXPY(1.0,WY,vout);DSDPCHKERR(info);
<a name="l00258"></a>00258 DSDPFunctionReturn(0);
<a name="l00259"></a>00259 }
<a name="l00260"></a>00260
<a name="l00261"></a>00261 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00262"></a>00262 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeSetX"</span>
<a name="l00263"></a>00263 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeSetX(<span class="keywordtype">void</span>* dcone,<span class="keywordtype">double</span> mu, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> Y,<a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> DY){
<a name="l00264"></a>00264 DSDPFunctionBegin;
<a name="l00265"></a>00265 DSDPFunctionReturn(0);
<a name="l00266"></a>00266 }
<a name="l00267"></a>00267
<a name="l00268"></a>00268 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00269"></a>00269 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeX"</span>
<a name="l00270"></a>00270 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeX(<span class="keywordtype">void</span>* dcone,<span class="keywordtype">double</span> mu, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> Y,<a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> DY,
<a name="l00271"></a>00271 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> AX , <span class="keywordtype">double</span> *tracexs){
<a name="l00272"></a>00272 <span class="keywordtype">int</span> info;
<a name="l00273"></a>00273 <span class="keywordtype">double</span> dtracexs;
<a name="l00274"></a>00274 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00275"></a>00275 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> S=lpcone->PS,WX=lpcone->WX,X=lpcone->X,DS=lpcone->DS,WY=lpcone->WY;
<a name="l00276"></a>00276 <span class="keywordtype">double</span> *xx,*xout=lpcone->xout;
<a name="l00277"></a>00277 DSDPFunctionBegin;
<a name="l00278"></a>00278
<a name="l00279"></a>00279 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00280"></a>00280 mu*=lpcone->muscale;
<a name="l00281"></a>00281 info=LPComputeATY(lpcone,Y,S);DSDPCHKERR(info);
<a name="l00282"></a>00282
<a name="l00283"></a>00283 info=DSDPVecSet(1.0,WX);
<a name="l00284"></a>00284 info=DSDPVecPointwiseDivide(WX,S,WX);DSDPCHKERR(info);
<a name="l00285"></a>00285
<a name="l00286"></a>00286 info=LPComputeATY(lpcone,DY,DS);DSDPCHKERR(info);
<a name="l00287"></a>00287 info=DSDPVecPointwiseMult(WX,DS,X);DSDPCHKERR(info);
<a name="l00288"></a>00288
<a name="l00289"></a>00289 info=DSDPVecScale(-mu,WX);DSDPCHKERR(info);
<a name="l00290"></a>00290 info=DSDPVecPointwiseMult(WX,X,X);DSDPCHKERR(info);
<a name="l00291"></a>00291 info=DSDPVecAXPY(-1.0,WX,X);DSDPCHKERR(info);
<a name="l00292"></a>00292 info=DSDPVecGetArray(X,&xx);DSDPCHKERR(info);
<a name="l00293"></a>00293 <span class="keywordflow">for</span> (info=0;info<lpcone->n;info++){
<a name="l00294"></a>00294 <span class="keywordflow">if</span> (xx[info]<0) xx[info]=0;
<a name="l00295"></a>00295 }
<a name="l00296"></a>00296 info=DSDPVecRestoreArray(X,&xx);DSDPCHKERR(info);
<a name="l00297"></a>00297 info=LPComputeAX(lpcone,X,WY);DSDPCHKERR(info);
<a name="l00298"></a>00298 info=DSDPVecAXPY(1.0,WY,AX);DSDPCHKERR(info);
<a name="l00299"></a>00299 info=DSDPVecDot(S,X,&dtracexs);DSDPCHKERR(info);
<a name="l00300"></a>00300 *tracexs+=dtracexs;
<a name="l00301"></a>00301 info=DSDPVecGetArray(X,&xx);DSDPCHKERR(info);
<a name="l00302"></a>00302 <span class="keywordflow">if</span> (xout){
<a name="l00303"></a>00303 <span class="keywordflow">for</span> (info=0;info<lpcone->n;info++){
<a name="l00304"></a>00304 <span class="keywordflow">if</span> (xout){ xout[info]=xx[info]; }
<a name="l00305"></a>00305 }
<a name="l00306"></a>00306 }
<a name="l00307"></a>00307 info=DSDPVecRestoreArray(X,&xx);DSDPCHKERR(info);
<a name="l00308"></a>00308 DSDPFunctionReturn(0);
<a name="l00309"></a>00309 }
<a name="l00310"></a>00310
<a name="l00311"></a>00311
<a name="l00312"></a>00312 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00313"></a>00313 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeS"</span>
<a name="l00314"></a>00314 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeS(<span class="keywordtype">void</span>* dcone, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> Y, <a class="code" href="dsdpbasictypes_8h.html#ae47666e7e5d77002110e20ef9ebb634b" title="DSDP requires two instances of the data structures S.">DSDPDualFactorMatrix</a> flag,
<a name="l00315"></a>00315 <a class="code" href="dsdpbasictypes_8h.html#ae667f2bff3ab5ab0bc109fa76dc4ed65" title="Boolean variables.">DSDPTruth</a> *psdefinite){
<a name="l00316"></a>00316 <span class="keywordtype">int</span> i,n,info;
<a name="l00317"></a>00317 <span class="keywordtype">double</span> *s;
<a name="l00318"></a>00318 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00319"></a>00319 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> S;
<a name="l00320"></a>00320
<a name="l00321"></a>00321 DSDPFunctionBegin;
<a name="l00322"></a>00322
<a name="l00323"></a>00323 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00324"></a>00324 <span class="keywordflow">if</span> (flag==<a class="code" href="dsdpbasictypes_8h.html#ae47666e7e5d77002110e20ef9ebb634bab6fdf4f2eac3be74db4cdd12007f3cb0">DUAL_FACTOR</a>){
<a name="l00325"></a>00325 S=lpcone->DS;
<a name="l00326"></a>00326 } <span class="keywordflow">else</span> {
<a name="l00327"></a>00327 S=lpcone->PS;
<a name="l00328"></a>00328 }
<a name="l00329"></a>00329
<a name="l00330"></a>00330 info=DSDPVecCopy(Y,lpcone->Y);DSDPCHKERR(info);
<a name="l00331"></a>00331 info=LPComputeATY(lpcone,Y,S);DSDPCHKERR(info);
<a name="l00332"></a>00332 info=DSDPVecGetC(Y,&lpcone->sscale);
<a name="l00333"></a>00333 info=DSDPVecGetSize(S,&n);DSDPCHKERR(info);
<a name="l00334"></a>00334 info=DSDPVecGetArray(S,&s);DSDPCHKERR(info);
<a name="l00335"></a>00335 *psdefinite=<a class="code" href="dsdpbasictypes_8h.html#ae667f2bff3ab5ab0bc109fa76dc4ed65ae6b2e53e51e94a5fa7204ceac78f824f">DSDP_TRUE</a>;
<a name="l00336"></a>00336 <span class="keywordflow">for</span> (i=0;i<n;i++){ <span class="keywordflow">if</span> (s[i]<=0) *psdefinite=<a class="code" href="dsdpbasictypes_8h.html#ae667f2bff3ab5ab0bc109fa76dc4ed65a74385569aa7a59059a8847e2d39b754c">DSDP_FALSE</a>;}
<a name="l00337"></a>00337 info=DSDPVecRestoreArray(S,&s);DSDPCHKERR(info);
<a name="l00338"></a>00338
<a name="l00339"></a>00339 DSDPFunctionReturn(0);
<a name="l00340"></a>00340 }
<a name="l00341"></a>00341 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00342"></a>00342 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeInvertS"</span>
<a name="l00343"></a>00343 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeInvertS(<span class="keywordtype">void</span>* dcone){
<a name="l00344"></a>00344 DSDPFunctionBegin;
<a name="l00345"></a>00345 DSDPFunctionReturn(0);
<a name="l00346"></a>00346 }
<a name="l00347"></a>00347
<a name="l00348"></a>00348 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00349"></a>00349 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeComputeMaxStepLength"</span>
<a name="l00350"></a>00350 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeComputeMaxStepLength(<span class="keywordtype">void</span>* dcone, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> DY, <a class="code" href="dsdpbasictypes_8h.html#ae47666e7e5d77002110e20ef9ebb634b" title="DSDP requires two instances of the data structures S.">DSDPDualFactorMatrix</a> flag, <span class="keywordtype">double</span> *maxsteplength){
<a name="l00351"></a>00351 <span class="keywordtype">int</span> i,n,info;
<a name="l00352"></a>00352 <span class="keywordtype">double</span> *s,*ds,mstep=1.0e200;
<a name="l00353"></a>00353 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00354"></a>00354 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> S,DS=lpcone->WX;
<a name="l00355"></a>00355 DSDPFunctionBegin;
<a name="l00356"></a>00356 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00357"></a>00357 <span class="keywordflow">if</span> (flag==<a class="code" href="dsdpbasictypes_8h.html#ae47666e7e5d77002110e20ef9ebb634bab6fdf4f2eac3be74db4cdd12007f3cb0">DUAL_FACTOR</a>){
<a name="l00358"></a>00358 S=lpcone->DS;
<a name="l00359"></a>00359 } <span class="keywordflow">else</span> {
<a name="l00360"></a>00360 S=lpcone->PS;
<a name="l00361"></a>00361 }
<a name="l00362"></a>00362
<a name="l00363"></a>00363 info=LPComputeATY(lpcone,DY,DS);DSDPCHKERR(info);
<a name="l00364"></a>00364
<a name="l00365"></a>00365 info=DSDPVecGetSize(DS,&n);DSDPCHKERR(info);
<a name="l00366"></a>00366 info=DSDPVecGetArray(S,&s);DSDPCHKERR(info);
<a name="l00367"></a>00367 info=DSDPVecGetArray(DS,&ds);DSDPCHKERR(info);
<a name="l00368"></a>00368 <span class="keywordflow">for</span> (i=0;i<n;i++) <span class="keywordflow">if</span> (ds[i]<0){mstep=DSDPMin(mstep,-s[i]/ds[i]);}
<a name="l00369"></a>00369 info=DSDPVecRestoreArray(S,&s);DSDPCHKERR(info);
<a name="l00370"></a>00370 info=DSDPVecRestoreArray(DS,&ds);DSDPCHKERR(info);
<a name="l00371"></a>00371
<a name="l00372"></a>00372 *maxsteplength=mstep;
<a name="l00373"></a>00373
<a name="l00374"></a>00374 DSDPFunctionReturn(0);
<a name="l00375"></a>00375 }
<a name="l00376"></a>00376
<a name="l00377"></a>00377
<a name="l00378"></a>00378 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00379"></a>00379 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConePotential"</span>
<a name="l00380"></a>00380 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConePotential(<span class="keywordtype">void</span>* dcone, <span class="keywordtype">double</span> *logobj, <span class="keywordtype">double</span> *logdet){
<a name="l00381"></a>00381 <span class="keywordtype">int</span> i,n,info;
<a name="l00382"></a>00382 <span class="keywordtype">double</span> *s,mu,sumlog=0;
<a name="l00383"></a>00383 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00384"></a>00384 DSDPFunctionBegin;
<a name="l00385"></a>00385 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00386"></a>00386 mu=lpcone->muscale;
<a name="l00387"></a>00387 info=DSDPVecGetArray(lpcone->DS,&s);DSDPCHKERR(info);
<a name="l00388"></a>00388 info=DSDPVecGetSize(lpcone->DS,&n);DSDPCHKERR(info);
<a name="l00389"></a>00389 <span class="keywordflow">for</span> (i=0;i<n;i++){
<a name="l00390"></a>00390 sumlog+= mu*log(s[i]);
<a name="l00391"></a>00391 }
<a name="l00392"></a>00392 info=DSDPVecRestoreArray(lpcone->DS,&s);DSDPCHKERR(info);
<a name="l00393"></a>00393 *logdet=sumlog;
<a name="l00394"></a>00394 *logobj=0;
<a name="l00395"></a>00395 DSDPFunctionReturn(0);
<a name="l00396"></a>00396 }
<a name="l00397"></a>00397
<a name="l00398"></a>00398 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00399"></a>00399 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeSparsity"</span>
<a name="l00400"></a>00400 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeSparsity(<span class="keywordtype">void</span> *dcone,<span class="keywordtype">int</span> row, <span class="keywordtype">int</span> *tnnz, <span class="keywordtype">int</span> rnnz[], <span class="keywordtype">int</span> m){
<a name="l00401"></a>00401 <span class="keywordtype">int</span> info,*wi,n;
<a name="l00402"></a>00402 <span class="keywordtype">double</span> *wd;
<a name="l00403"></a>00403 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00404"></a>00404 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> W=lpcone->WX;
<a name="l00405"></a>00405 DSDPFunctionBegin;
<a name="l00406"></a>00406 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00407"></a>00407 <span class="keywordflow">if</span> (row==0) <span class="keywordflow">return</span> 0;
<a name="l00408"></a>00408 <span class="keywordflow">if</span> (row==m-1){
<a name="l00409"></a>00409 <span class="keywordflow">return</span> 0;
<a name="l00410"></a>00410 }
<a name="l00411"></a>00411 info=DSDPVecGetSize(W,&n);DSDPCHKERR(info);
<a name="l00412"></a>00412 info=DSDPVecGetArray(W,&wd);DSDPCHKERR(info);
<a name="l00413"></a>00413 wi=(<span class="keywordtype">int</span>*)wd;
<a name="l00414"></a>00414 info=SpRowMatRowNnz(lpcone->A,row-1,wi,n);DSDPCHKERR(info);
<a name="l00415"></a>00415 info=SpRowIMultAdd(lpcone->A,wi,n,rnnz+1,m-2);DSDPCHKERR(info);
<a name="l00416"></a>00416 info=DSDPVecRestoreArray(W,&wd);DSDPCHKERR(info);
<a name="l00417"></a>00417 DSDPFunctionReturn(0);
<a name="l00418"></a>00418 }
<a name="l00419"></a>00419
<a name="l00420"></a>00420
<a name="l00421"></a>00421 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00422"></a>00422 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeMonitor"</span>
<a name="l00423"></a>00423 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeMonitor( <span class="keywordtype">void</span> *dcone, <span class="keywordtype">int</span> tag){
<a name="l00424"></a>00424 DSDPFunctionBegin;
<a name="l00425"></a>00425 DSDPFunctionReturn(0);
<a name="l00426"></a>00426 }
<a name="l00427"></a>00427
<a name="l00428"></a>00428 <span class="preprocessor">#undef __FUNCT__ </span>
<a name="l00429"></a>00429 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPANorm2"</span>
<a name="l00430"></a>00430 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPANorm2( <span class="keywordtype">void</span> *dcone, <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> ANorm){
<a name="l00431"></a>00431 <span class="keywordtype">int</span> i,info;
<a name="l00432"></a>00432 <span class="keywordtype">double</span> dd;
<a name="l00433"></a>00433 <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone=(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a>)dcone;
<a name="l00434"></a>00434 DSDPFunctionBegin;
<a name="l00435"></a>00435 <span class="keywordflow">if</span> (lpcone->n<1) <span class="keywordflow">return</span> 0;
<a name="l00436"></a>00436 info=DSDPVecNorm22(lpcone->C,&dd);DSDPCHKERR(info);
<a name="l00437"></a>00437 info=DSDPVecAddC(ANorm,dd);DSDPCHKERR(info);
<a name="l00438"></a>00438 <span class="keywordflow">for</span> (i=0;i<lpcone->m;i++){
<a name="l00439"></a>00439 info=SpRowMatNorm2(lpcone->A,i,&dd);DSDPCHKERR(info);
<a name="l00440"></a>00440 info=DSDPVecAddElement(ANorm,i+1,dd);DSDPCHKERR(info);
<a name="l00441"></a>00441 }
<a name="l00442"></a>00442 info=DSDPVecAddR(ANorm,1.0);DSDPCHKERR(info);
<a name="l00443"></a>00443 DSDPFunctionReturn(0);
<a name="l00444"></a>00444 }
<a name="l00445"></a>00445
<a name="l00446"></a>00446
<a name="l00447"></a>00447 <span class="keyword">static</span> <span class="keyword">struct </span>DSDPCone_Ops kops;
<a name="l00448"></a>00448 <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">char</span> *lpconename=<span class="stringliteral">"LP Cone"</span>;
<a name="l00449"></a>00449
<a name="l00450"></a>00450 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00451"></a>00451 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeOperationsInitialize"</span>
<a name="l00452"></a>00452 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> LPConeOperationsInitialize(<span class="keyword">struct</span> DSDPCone_Ops* coneops){
<a name="l00453"></a>00453 <span class="keywordtype">int</span> info;
<a name="l00454"></a>00454 <span class="keywordflow">if</span> (coneops==NULL) <span class="keywordflow">return</span> 0;
<a name="l00455"></a>00455 info=<a class="code" href="dsdpcone_8c.html#ad1e12a500997ab2be6b7e24536017e95" title="Initialize the function pointers to 0.">DSDPConeOpsInitialize</a>(coneops); DSDPCHKERR(info);
<a name="l00456"></a>00456 coneops->conehessian=LPConeHessian;
<a name="l00457"></a>00457 coneops->conerhs=LPConeRHS;
<a name="l00458"></a>00458 coneops->conesetup=LPConeSetup;
<a name="l00459"></a>00459 coneops->conesetup2=LPConeSetup2;
<a name="l00460"></a>00460 coneops->conedestroy=LPConeDestroy;
<a name="l00461"></a>00461 coneops->conecomputes=LPConeS;
<a name="l00462"></a>00462 coneops->coneinverts=LPConeInvertS;
<a name="l00463"></a>00463 coneops->conesetxmaker=LPConeSetX;
<a name="l00464"></a>00464 coneops->conecomputex=LPConeX;
<a name="l00465"></a>00465 coneops->conemaxsteplength=LPConeComputeMaxStepLength;
<a name="l00466"></a>00466 coneops->conelogpotential=LPConePotential;
<a name="l00467"></a>00467 coneops->conesize=LPConeSize;
<a name="l00468"></a>00468 coneops->conesparsity=LPConeSparsity;
<a name="l00469"></a>00469 coneops->conehmultiplyadd=LPConeMultiply;
<a name="l00470"></a>00470 coneops->conemonitor=LPConeMonitor;
<a name="l00471"></a>00471 coneops->coneanorm2=LPANorm2;
<a name="l00472"></a>00472 coneops->id=2;
<a name="l00473"></a>00473 coneops->name=lpconename;
<a name="l00474"></a>00474 <span class="keywordflow">return</span> 0;
<a name="l00475"></a>00475 }
<a name="l00476"></a>00476
<a name="l00477"></a>00477 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00478"></a>00478 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "DSDPAddLP"</span>
<a name="l00479"></a>00479 <span class="preprocessor"></span><span class="keywordtype">int</span> DSDPAddLP(<a class="code" href="structDSDP__C.html" title="Internal structures for the DSDP solver.">DSDP</a> dsdp,<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone){
<a name="l00480"></a>00480 <span class="keywordtype">int</span> info;
<a name="l00481"></a>00481 DSDPFunctionBegin;
<a name="l00482"></a>00482 info=LPConeOperationsInitialize(&kops); DSDPCHKERR(info);
<a name="l00483"></a>00483 info=<a class="code" href="dsdpcone__impl_8h.html#ae305676af8ca6fb9340d129b392c0f4d" title="Apply DSDP to a conic structure.">DSDPAddCone</a>(dsdp,&kops,(<span class="keywordtype">void</span>*)lpcone); DSDPCHKERR(info);
<a name="l00484"></a>00484 DSDPFunctionReturn(0);
<a name="l00485"></a>00485 }
<a name="l00486"></a>00486
<a name="l00487"></a>00487 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00488"></a>00488 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "DSDPCreateLPCone"</span>
<a name="l00489"></a>00489 <span class="preprocessor"></span>
<a name="l00509"></a><a class="code" href="group__LPRoutines.html#ga0d29bfae7b375bfb3bc8ccab769a4003">00509</a> <span class="keywordtype">int</span> <a class="code" href="group__LPRoutines.html#ga0d29bfae7b375bfb3bc8ccab769a4003" title="Create a new object for linear programs and scalar inequalities.">DSDPCreateLPCone</a>(<a class="code" href="structDSDP__C.html" title="Internal structures for the DSDP solver.">DSDP</a> dsdp, <a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> *dspcone){
<a name="l00510"></a>00510 <span class="keywordtype">int</span> m,info;
<a name="l00511"></a>00511 <span class="keyword">struct </span>LPCone_C *lpcone;
<a name="l00512"></a>00512 DSDPFunctionBegin;
<a name="l00513"></a>00513 DSDPCALLOC1(&lpcone,<span class="keyword">struct</span> LPCone_C,&info);DSDPCHKERR(info);
<a name="l00514"></a>00514 *dspcone=lpcone;
<a name="l00515"></a>00515 <span class="comment">/*</span>
<a name="l00516"></a>00516 <span class="comment"> info=DSDPAddLP(dsdp,lpcone);DSDPCHKERR(info);</span>
<a name="l00517"></a>00517 <span class="comment"> */</span>
<a name="l00518"></a>00518 info=LPConeOperationsInitialize(&kops); DSDPCHKERR(info);
<a name="l00519"></a>00519 info=<a class="code" href="dsdpcone__impl_8h.html#ae305676af8ca6fb9340d129b392c0f4d" title="Apply DSDP to a conic structure.">DSDPAddCone</a>(dsdp,&kops,(<span class="keywordtype">void</span>*)lpcone); DSDPCHKERR(info);
<a name="l00520"></a>00520 info=<a class="code" href="group__DSDPSolution.html#gae212bb3666f5c021f9d310a49438e94b" title="Copy the number of variables y.">DSDPGetNumberOfVariables</a>(dsdp,&m);DSDPCHKERR(info);
<a name="l00521"></a>00521 lpcone->m=m;
<a name="l00522"></a>00522 lpcone->muscale=1.0;
<a name="l00523"></a>00523 lpcone->n=0;
<a name="l00524"></a>00524 lpcone->xout=0;
<a name="l00525"></a>00525 lpcone->r=1.0;
<a name="l00526"></a>00526 info=DSDPVecCreateSeq(0,&lpcone->C);DSDPCHKERR(info);
<a name="l00527"></a>00527 info=DSDPVecCreateSeq(0,&lpcone->WY);DSDPCHKERR(info);
<a name="l00528"></a>00528 info=DSDPVecDuplicate(lpcone->C,&lpcone->WX);DSDPCHKERR(info);
<a name="l00529"></a>00529 info=DSDPVecDuplicate(lpcone->C,&lpcone->WX2);DSDPCHKERR(info);
<a name="l00530"></a>00530 info=DSDPVecDuplicate(lpcone->C,&lpcone->PS);DSDPCHKERR(info);
<a name="l00531"></a>00531 info=DSDPVecDuplicate(lpcone->C,&lpcone->DS);DSDPCHKERR(info);
<a name="l00532"></a>00532 info=DSDPVecDuplicate(lpcone->C,&lpcone->X);DSDPCHKERR(info);
<a name="l00533"></a>00533 DSDPFunctionReturn(0);
<a name="l00534"></a>00534 }
<a name="l00535"></a>00535
<a name="l00536"></a>00536
<a name="l00537"></a>00537 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00538"></a>00538 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeGetXArray"</span>
<a name="l00539"></a>00539 <span class="preprocessor"></span>
<a name="l00556"></a><a class="code" href="group__LPRoutines.html#ga397a75ac119afb25a2aea1b583de789d">00556</a> <span class="keywordtype">int</span> <a class="code" href="group__LPRoutines.html#ga397a75ac119afb25a2aea1b583de789d" title="Get the array used to store the x variables.">LPConeGetXArray</a>(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<span class="keywordtype">double</span> *x[], <span class="keywordtype">int</span> *n){
<a name="l00557"></a>00557 <span class="keywordtype">int</span> info;
<a name="l00558"></a>00558 DSDPFunctionBegin;
<a name="l00559"></a>00559 info=DSDPVecGetArray(lpcone->X,x);DSDPCHKERR(info);
<a name="l00560"></a>00560 info=DSDPVecGetSize(lpcone->X,n);DSDPCHKERR(info);
<a name="l00561"></a>00561 DSDPFunctionReturn(0);
<a name="l00562"></a>00562 }
<a name="l00563"></a>00563
<a name="l00564"></a>00564 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00565"></a>00565 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeGetSArray"</span>
<a name="l00566"></a>00566 <span class="preprocessor"></span><span class="comment">/*</span>
<a name="l00567"></a>00567 <span class="comment">\fn int LPConeGetSArray(LPCone lpcone, double *s[], int *n);</span>
<a name="l00568"></a>00568 <span class="comment">\brief Get the array used to store the s variables</span>
<a name="l00569"></a>00569 <span class="comment">\ingroup LPRoutines</span>
<a name="l00570"></a>00570 <span class="comment">\param lpcone LP Cone</span>
<a name="l00571"></a>00571 <span class="comment">\param s array of variables</span>
<a name="l00572"></a>00572 <span class="comment">\param n the dimension of the cone and length of the array</span>
<a name="l00573"></a>00573 <span class="comment">\sa DSDPCreateLPCone()</span>
<a name="l00574"></a>00574 <span class="comment"> */</span>
<a name="l00575"></a>00575 <span class="keywordtype">int</span> LPConeGetSArray(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<span class="keywordtype">double</span> *s[], <span class="keywordtype">int</span> *n){
<a name="l00576"></a>00576 <span class="keywordtype">int</span> info;
<a name="l00577"></a>00577 DSDPFunctionBegin;
<a name="l00578"></a>00578 info=DSDPVecGetArray(lpcone->DS,s);DSDPCHKERR(info);
<a name="l00579"></a>00579 info=DSDPVecGetSize(lpcone->DS,n);DSDPCHKERR(info);
<a name="l00580"></a>00580 DSDPFunctionReturn(0);
<a name="l00581"></a>00581 }
<a name="l00582"></a>00582
<a name="l00583"></a>00583 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00584"></a>00584 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeCopyS"</span>
<a name="l00585"></a>00585 <span class="preprocessor"></span>
<a name="l00595"></a><a class="code" href="group__LPRoutines.html#gae8b986e2ffe6accd28f82f8fd7571287">00595</a> <span class="keywordtype">int</span> <a class="code" href="group__LPRoutines.html#gae8b986e2ffe6accd28f82f8fd7571287" title="Copy the variables s into the spedified array.">LPConeCopyS</a>(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<span class="keywordtype">double</span> s[], <span class="keywordtype">int</span> n){
<a name="l00596"></a>00596 <span class="keywordtype">int</span> i,info;
<a name="l00597"></a>00597 <span class="keywordtype">double</span> *ss,sscale=lpcone->sscale;
<a name="l00598"></a>00598 <a class="code" href="dsdpbasictypes_8h.html#ae667f2bff3ab5ab0bc109fa76dc4ed65" title="Boolean variables.">DSDPTruth</a> psdefinite;
<a name="l00599"></a>00599 DSDPFunctionBegin;
<a name="l00600"></a>00600 info=LPConeS((<span class="keywordtype">void</span>*)lpcone,lpcone->Y,<a class="code" href="dsdpbasictypes_8h.html#ae47666e7e5d77002110e20ef9ebb634bab6fdf4f2eac3be74db4cdd12007f3cb0">DUAL_FACTOR</a> ,&psdefinite);DSDPCHKERR(info);
<a name="l00601"></a>00601 info=DSDPVecGetArray(lpcone->DS,&ss);DSDPCHKERR(info);
<a name="l00602"></a>00602 <span class="keywordflow">for</span> (i=0;i<n;i++) s[i]=ss[i]/fabs(sscale);
<a name="l00603"></a>00603 DSDPFunctionReturn(0);
<a name="l00604"></a>00604 }
<a name="l00605"></a>00605
<a name="l00606"></a>00606 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00607"></a>00607 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeGetDimension"</span>
<a name="l00608"></a>00608 <span class="preprocessor"></span>
<a name="l00616"></a><a class="code" href="group__LPRoutines.html#gaf67de731657b5f9eedb51ba2de2d0eb6">00616</a> <span class="keywordtype">int</span> <a class="code" href="group__LPRoutines.html#gaf67de731657b5f9eedb51ba2de2d0eb6" title="Get the dimension is the number of variables x, which equals the number of slack variables s...">LPConeGetDimension</a>(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<span class="keywordtype">int</span> *n){
<a name="l00617"></a>00617 DSDPFunctionBegin;
<a name="l00618"></a>00618 *n=(int)(lpcone->n*lpcone->muscale);
<a name="l00619"></a>00619 DSDPFunctionReturn(0);
<a name="l00620"></a>00620 }
<a name="l00621"></a>00621
<a name="l00622"></a>00622
<a name="l00623"></a>00623 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00624"></a>00624 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeScaleBarrier"</span>
<a name="l00625"></a>00625 <span class="preprocessor"></span><span class="keywordtype">int</span> LPConeScaleBarrier(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<span class="keywordtype">double</span> muscale){
<a name="l00626"></a>00626 DSDPFunctionBegin;
<a name="l00627"></a>00627 <span class="keywordflow">if</span> (muscale>0){
<a name="l00628"></a>00628 lpcone->muscale=muscale;
<a name="l00629"></a>00629 }
<a name="l00630"></a>00630 DSDPFunctionReturn(0);
<a name="l00631"></a>00631 }
<a name="l00632"></a>00632
<a name="l00633"></a>00633 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00634"></a>00634 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeSetData"</span>
<a name="l00635"></a>00635 <span class="preprocessor"></span>
<a name="l00666"></a><a class="code" href="group__LPRoutines.html#gad0de1037f6c6d599c94d9b3c54a5b890">00666</a> <span class="keywordtype">int</span> <a class="code" href="group__LPRoutines.html#gad0de1037f6c6d599c94d9b3c54a5b890" title="Set data into the LP cone.">LPConeSetData</a>(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<span class="keywordtype">int</span> n, <span class="keyword">const</span> <span class="keywordtype">int</span> ik[],<span class="keyword">const</span> <span class="keywordtype">int</span> cols[],<span class="keyword">const</span> <span class="keywordtype">double</span> vals[]){
<a name="l00667"></a>00667 <span class="keywordtype">int</span> info,i,spot,m=lpcone->m;
<a name="l00668"></a>00668 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> C;
<a name="l00669"></a>00669 DSDPFunctionBegin;
<a name="l00670"></a>00670 lpcone->n=n;
<a name="l00671"></a>00671 info=DSDPVecCreateSeq(n,&C);DSDPCHKERR(info);
<a name="l00672"></a>00672 lpcone->C=C;
<a name="l00673"></a>00673 info=DSDPVecZero(C);DSDPCHKERR(info);
<a name="l00674"></a>00674 lpcone->muscale=1.0;
<a name="l00675"></a>00675 <span class="keywordflow">if</span> (n<100) lpcone->muscale=1.0;
<a name="l00676"></a>00676 <span class="keywordflow">if</span> (n<10) lpcone->muscale=1.0;
<a name="l00677"></a>00677 <span class="keywordflow">for</span> (i=ik[0];i<ik[1];i++){
<a name="l00678"></a>00678 info=DSDPVecSetElement(C,cols[i],vals[i]);
<a name="l00679"></a>00679 }
<a name="l00680"></a>00680 spot=ik[0];
<a name="l00681"></a>00681 info=CreateSpRowMatWdata(m,n,vals+spot,cols+spot,ik+1,&lpcone->A);DSDPCHKERR(info);
<a name="l00682"></a>00682 DSDPFunctionReturn(0);
<a name="l00683"></a>00683 }
<a name="l00684"></a>00684
<a name="l00685"></a>00685 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00686"></a>00686 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeSetData2"</span>
<a name="l00687"></a>00687 <span class="preprocessor"></span>
<a name="l00717"></a><a class="code" href="group__LPRoutines.html#gafe6d7646a6508238ee9d956c4693efd3">00717</a> <span class="keywordtype">int</span> <a class="code" href="group__LPRoutines.html#gafe6d7646a6508238ee9d956c4693efd3" title="Set data A and into the LP cone.">LPConeSetData2</a>(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<span class="keywordtype">int</span> n, <span class="keyword">const</span> <span class="keywordtype">int</span> ik[],<span class="keyword">const</span> <span class="keywordtype">int</span> cols[],<span class="keyword">const</span> <span class="keywordtype">double</span> vals[]){
<a name="l00718"></a>00718 <span class="keywordtype">int</span> info,i,spot,m=lpcone->m;
<a name="l00719"></a>00719 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> C;
<a name="l00720"></a>00720 DSDPFunctionBegin;
<a name="l00721"></a>00721 lpcone->n=n;
<a name="l00722"></a>00722 info=DSDPVecCreateSeq(n,&C);DSDPCHKERR(info);
<a name="l00723"></a>00723 lpcone->C=C;
<a name="l00724"></a>00724 info=DSDPVecZero(C);DSDPCHKERR(info);
<a name="l00725"></a>00725 lpcone->muscale=1.0;
<a name="l00726"></a>00726 <span class="keywordflow">if</span> (n<100) lpcone->muscale=1.0;
<a name="l00727"></a>00727 <span class="keywordflow">if</span> (n<10) lpcone->muscale=1.0;
<a name="l00728"></a>00728 <span class="keywordflow">for</span> (i=ik[m];i<ik[m+1];i++){
<a name="l00729"></a>00729 info=DSDPVecSetElement(C,cols[i],vals[i]);
<a name="l00730"></a>00730 }
<a name="l00731"></a>00731 spot=ik[0];
<a name="l00732"></a>00732 info=CreateSpRowMatWdata(m,n,vals+spot,cols+spot,ik,&lpcone->A);DSDPCHKERR(info);
<a name="l00733"></a>00733 DSDPFunctionReturn(0);
<a name="l00734"></a>00734 }
<a name="l00735"></a>00735
<a name="l00736"></a>00736 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00737"></a>00737 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeView2"</span>
<a name="l00738"></a>00738 <span class="preprocessor"></span>
<a name="l00744"></a><a class="code" href="group__LPRoutines.html#ga68f95f33e6eea33133c5d4f31e85187c">00744</a> <span class="keywordtype">int</span> <a class="code" href="group__LPRoutines.html#ga68f95f33e6eea33133c5d4f31e85187c" title="Print the data in the LP cone to the screen.">LPConeView2</a>(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone){
<a name="l00745"></a>00745 <span class="keywordtype">int</span> info;
<a name="l00746"></a>00746 DSDPFunctionBegin;
<a name="l00747"></a>00747 printf(<span class="stringliteral">"LPCone Constraint Matrix\n"</span>);
<a name="l00748"></a>00748 info=SpRowMatView(lpcone->A);DSDPCHKERR(info);
<a name="l00749"></a>00749 printf(<span class="stringliteral">"LPCone Objective C vector\n"</span>);
<a name="l00750"></a>00750 info=DSDPVecView(lpcone->C);DSDPCHKERR(info);
<a name="l00751"></a>00751 DSDPFunctionReturn(0);
<a name="l00752"></a>00752 }
<a name="l00753"></a>00753
<a name="l00754"></a>00754
<a name="l00755"></a>00755
<a name="l00756"></a>00756 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00757"></a>00757 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeGetConstraint"</span>
<a name="l00758"></a>00758 <span class="preprocessor"></span><span class="keywordtype">int</span> LPConeGetConstraint(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<span class="keywordtype">int</span> column,<a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> W){
<a name="l00759"></a>00759 <span class="keywordtype">int</span> n,info;
<a name="l00760"></a>00760 <span class="keywordtype">double</span> *w;
<a name="l00761"></a>00761 DSDPFunctionBegin;
<a name="l00762"></a>00762 <span class="keywordflow">if</span> (column==0){
<a name="l00763"></a>00763 info=DSDPVecCopy(lpcone->C,W);DSDPCHKERR(info);
<a name="l00764"></a>00764 } <span class="keywordflow">else</span> {
<a name="l00765"></a>00765 info=DSDPVecGetSize(W,&n);DSDPCHKERR(info);
<a name="l00766"></a>00766 info=DSDPVecGetArray(W,&w);DSDPCHKERR(info);
<a name="l00767"></a>00767 info=SpRowMatGetRowVector(lpcone->A,column-1,w,n);info=0;DSDPCHKERR(info);
<a name="l00768"></a>00768 info=DSDPVecRestoreArray(W,&w);DSDPCHKERR(info);
<a name="l00769"></a>00769 }
<a name="l00770"></a>00770 DSDPFunctionReturn(0);
<a name="l00771"></a>00771 }
<a name="l00772"></a>00772
<a name="l00773"></a>00773 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00774"></a>00774 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeGetData"</span>
<a name="l00775"></a>00775 <span class="preprocessor"></span>
<a name="l00783"></a><a class="code" href="dsdp5_8h.html#ae19303341ea00fc3804a151fa2fadf51">00783</a> <span class="keywordtype">int</span> <a class="code" href="dsdplp_8c.html#a3a3ba3a5a4bb6ed5cec6e2ff424436c1" title="Get one column (or row) of the LP data.">LPConeGetData</a>(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<span class="keywordtype">int</span> vari,<span class="keywordtype">double</span> vv[], <span class="keywordtype">int</span> n){
<a name="l00784"></a>00784 <span class="keywordtype">int</span> info;
<a name="l00785"></a>00785 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> W;
<a name="l00786"></a>00786 DSDPFunctionBegin;
<a name="l00787"></a>00787 info=DSDPVecCreateWArray(&W,vv,n);DSDPCHKERR(info);
<a name="l00788"></a>00788 info=LPConeGetConstraint(lpcone,vari,W);DSDPCHKERR(info);
<a name="l00789"></a>00789 DSDPFunctionReturn(0);
<a name="l00790"></a>00790 }
<a name="l00791"></a>00791
<a name="l00792"></a>00792 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00793"></a>00793 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeSetXVec"</span>
<a name="l00794"></a>00794 <span class="preprocessor"></span><span class="keywordtype">int</span> LPConeSetXVec(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone,<span class="keywordtype">double</span> *xout, <span class="keywordtype">int</span> n){
<a name="l00795"></a>00795 DSDPFunctionBegin;
<a name="l00796"></a>00796 <span class="keywordflow">if</span> (n==lpcone->n) lpcone->xout=xout;
<a name="l00797"></a>00797 DSDPFunctionReturn(0);
<a name="l00798"></a>00798 }
<a name="l00799"></a>00799
<a name="l00800"></a>00800
<a name="l00801"></a>00801 <span class="keyword">static</span> <span class="keywordtype">int</span> vsdot(<span class="keyword">const</span> <span class="keywordtype">int</span>*,<span class="keyword">const</span> <span class="keywordtype">double</span> *,<span class="keywordtype">int</span>,<span class="keyword">const</span> <span class="keywordtype">double</span> *, <span class="keywordtype">int</span>, <span class="keywordtype">double</span> *);
<a name="l00802"></a>00802 <span class="keyword">static</span> <span class="keywordtype">int</span> checkvsparse(smatx *);
<a name="l00803"></a>00803
<a name="l00804"></a>00804
<a name="l00805"></a>00805 <span class="keyword">static</span> <span class="keywordtype">int</span> CreateSpRowMatWdata(<span class="keywordtype">int</span> m,<span class="keywordtype">int</span> n,<span class="keyword">const</span> <span class="keywordtype">double</span> vals[], <span class="keyword">const</span> <span class="keywordtype">int</span> cols[], <span class="keyword">const</span> <span class="keywordtype">int</span> ik[],
<a name="l00806"></a>00806 smatx **A){
<a name="l00807"></a>00807
<a name="l00808"></a>00808 smatx *V;
<a name="l00809"></a>00809
<a name="l00810"></a>00810 V=(smatx*) malloc(1*<span class="keyword">sizeof</span>(smatx));
<a name="l00811"></a>00811 <span class="keywordflow">if</span> (V==NULL) <span class="keywordflow">return</span> 1;
<a name="l00812"></a>00812 V->nrow=m;
<a name="l00813"></a>00813 V->ncol=n;
<a name="l00814"></a>00814 V->owndata=0;
<a name="l00815"></a>00815 V->an=vals; V->col=cols; V->nnz=ik;
<a name="l00816"></a>00816
<a name="l00817"></a>00817 *A=V;
<a name="l00818"></a>00818 checkvsparse(V);
<a name="l00819"></a>00819 <span class="keywordflow">return</span> 0;
<a name="l00820"></a>00820 }
<a name="l00821"></a>00821
<a name="l00822"></a>00822 <span class="keyword">static</span> <span class="keywordtype">int</span> vsdot(<span class="keyword">const</span> <span class="keywordtype">int</span> ja[], <span class="keyword">const</span> <span class="keywordtype">double</span> an[], <span class="keywordtype">int</span> nn0, <span class="keyword">const</span> <span class="keywordtype">double</span> vv[], <span class="keywordtype">int</span> n, <span class="keywordtype">double</span> *vdot){
<a name="l00823"></a>00823
<a name="l00824"></a>00824 <span class="keywordtype">int</span> i;
<a name="l00825"></a>00825 <span class="keywordtype">double</span> tmp=0.0;
<a name="l00826"></a>00826
<a name="l00827"></a>00827 <span class="keywordflow">for</span> (i=0; i<nn0; i++){
<a name="l00828"></a>00828 <span class="comment">/* if (ja[i]<n) tmp = tmp + an[i] * vv[ja[i]]; */</span>
<a name="l00829"></a>00829 tmp += an[i] * vv[ja[i]];
<a name="l00830"></a>00830 }
<a name="l00831"></a>00831 *vdot=tmp;
<a name="l00832"></a>00832 <span class="keywordflow">return</span> 0;
<a name="l00833"></a>00833 }
<a name="l00834"></a>00834
<a name="l00835"></a>00835 <span class="keyword">static</span> <span class="keywordtype">int</span> checkvsparse(smatx *A){
<a name="l00836"></a>00836 <span class="keywordtype">int</span> i,k=0,m=A->nrow,tnnz=0;
<a name="l00837"></a>00837 <span class="keyword">const</span> <span class="keywordtype">int</span> *nnz=A->nnz;
<a name="l00838"></a>00838
<a name="l00839"></a>00839 <span class="keywordflow">for</span> (i=0;i<m;++i){
<a name="l00840"></a>00840 <span class="keywordflow">if</span> (nnz[i+1]-nnz[i]>0){
<a name="l00841"></a>00841 tnnz++;
<a name="l00842"></a>00842 }
<a name="l00843"></a>00843 }
<a name="l00844"></a>00844 <span class="keywordflow">if</span> (tnnz < m/2){
<a name="l00845"></a>00845 A->nzrows =(<span class="keywordtype">int</span>*)malloc((tnnz)*<span class="keyword">sizeof</span>(int));
<a name="l00846"></a>00846 A->nnzrows=tnnz;
<a name="l00847"></a>00847 <span class="keywordflow">for</span> (i=0;i<m;++i){
<a name="l00848"></a>00848 <span class="keywordflow">if</span> (nnz[i+1]-nnz[i]>0){
<a name="l00849"></a>00849 A->nzrows[k]=i;
<a name="l00850"></a>00850 k++;
<a name="l00851"></a>00851 }
<a name="l00852"></a>00852 }
<a name="l00853"></a>00853 } <span class="keywordflow">else</span> {
<a name="l00854"></a>00854 A->nzrows = 0;
<a name="l00855"></a>00855 A->nnzrows = m;
<a name="l00856"></a>00856 }
<a name="l00857"></a>00857 <span class="keywordflow">return</span> 0;
<a name="l00858"></a>00858 }
<a name="l00859"></a>00859
<a name="l00860"></a>00860 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00861"></a>00861 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "SpRowMatMult"</span>
<a name="l00862"></a>00862 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatMult(smatx* A, <span class="keyword">const</span> <span class="keywordtype">double</span> x[], <span class="keywordtype">int</span> n, <span class="keywordtype">double</span> y[], <span class="keywordtype">int</span> m){
<a name="l00863"></a>00863
<a name="l00864"></a>00864 <span class="keywordtype">int</span> i,k1,k2,nrow=A->nrow;
<a name="l00865"></a>00865 <span class="keyword">const</span> <span class="keywordtype">int</span> *nnz=A->nnz,*col=A->col;
<a name="l00866"></a>00866 <span class="keyword">const</span> <span class="keywordtype">double</span> *an=A->an;
<a name="l00867"></a>00867
<a name="l00868"></a>00868 <span class="keywordflow">if</span> (A->ncol != n) <span class="keywordflow">return</span> 1;
<a name="l00869"></a>00869 <span class="keywordflow">if</span> (A->nrow != m) <span class="keywordflow">return</span> 2;
<a name="l00870"></a>00870 <span class="keywordflow">if</span> (x==0 && n>0) <span class="keywordflow">return</span> 3;
<a name="l00871"></a>00871 <span class="keywordflow">if</span> (y==0 && m>0) <span class="keywordflow">return</span> 3;
<a name="l00872"></a>00872
<a name="l00873"></a>00873 <span class="keywordflow">if</span> (m>0){
<a name="l00874"></a>00874 memset((<span class="keywordtype">void</span>*)y,0,m*<span class="keyword">sizeof</span>(<span class="keywordtype">double</span>));
<a name="l00875"></a>00875 <span class="keywordflow">for</span> (i=0; i<nrow; i++){
<a name="l00876"></a>00876 k1=*(nnz+i); k2=*(nnz+i+1);
<a name="l00877"></a>00877 vsdot(col+k1,an+k1,k2-k1,x,n,y+i);
<a name="l00878"></a>00878 }
<a name="l00879"></a>00879 }
<a name="l00880"></a>00880 <span class="keywordflow">return</span> 0;
<a name="l00881"></a>00881 }
<a name="l00882"></a>00882
<a name="l00883"></a>00883 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00884"></a>00884 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "SpRowMatMultTrans"</span>
<a name="l00885"></a>00885 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatMultTrans(smatx * A, <span class="keyword">const</span> <span class="keywordtype">double</span> x[], <span class="keywordtype">int</span> m, <span class="keywordtype">double</span> y[], <span class="keywordtype">int</span> n){
<a name="l00886"></a>00886
<a name="l00887"></a>00887 <span class="keywordtype">int</span> i,j,k1,k2,nrow=A->nrow;
<a name="l00888"></a>00888 <span class="keyword">const</span> <span class="keywordtype">int</span> *col=A->col,*nnz=A->nnz;
<a name="l00889"></a>00889 <span class="keyword">const</span> <span class="keywordtype">double</span> *an=A->an;
<a name="l00890"></a>00890 <span class="keywordflow">if</span> (A->ncol != n) <span class="keywordflow">return</span> 1;
<a name="l00891"></a>00891 <span class="keywordflow">if</span> (A->nrow != m) <span class="keywordflow">return</span> 2;
<a name="l00892"></a>00892 <span class="keywordflow">if</span> (x==0 && m>0) <span class="keywordflow">return</span> 3;
<a name="l00893"></a>00893 <span class="keywordflow">if</span> (y==0 && n>0) <span class="keywordflow">return</span> 3;
<a name="l00894"></a>00894
<a name="l00895"></a>00895 memset((<span class="keywordtype">void</span>*)y,0,n*<span class="keyword">sizeof</span>(<span class="keywordtype">double</span>));
<a name="l00896"></a>00896 <span class="keywordflow">for</span> (i=0; i<nrow; i++){
<a name="l00897"></a>00897 k1=nnz[i]; k2=nnz[i+1];
<a name="l00898"></a>00898 <span class="keywordflow">for</span> (j=k1; j<k2; j++){
<a name="l00899"></a>00899 y[col[j]] += an[j]*x[i];
<a name="l00900"></a>00900 }
<a name="l00901"></a>00901 }
<a name="l00902"></a>00902
<a name="l00903"></a>00903 <span class="keywordflow">return</span> 0;
<a name="l00904"></a>00904 }
<a name="l00905"></a>00905
<a name="l00906"></a>00906
<a name="l00907"></a>00907 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatRowNnz(smatx *A, <span class="keywordtype">int</span> row, <span class="keywordtype">int</span>* wi,<span class="keywordtype">int</span> n){
<a name="l00908"></a>00908 <span class="keywordtype">int</span> i,k1,k2;
<a name="l00909"></a>00909 <span class="keyword">const</span> <span class="keywordtype">int</span> *col=A->col;
<a name="l00910"></a>00910 DSDPFunctionBegin;
<a name="l00911"></a>00911 memset((<span class="keywordtype">void</span>*)wi,0,n*<span class="keyword">sizeof</span>(<span class="keywordtype">double</span>));
<a name="l00912"></a>00912 k1=A->nnz[row];
<a name="l00913"></a>00913 k2=A->nnz[row+1];
<a name="l00914"></a>00914 <span class="keywordflow">for</span> (i=k1; i<k2; i++){
<a name="l00915"></a>00915 wi[col[i]]=1;
<a name="l00916"></a>00916 }
<a name="l00917"></a>00917 DSDPFunctionReturn(0);
<a name="l00918"></a>00918 }
<a name="l00919"></a>00919
<a name="l00920"></a>00920 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowIMultAdd(smatx *A,<span class="keywordtype">int</span> *wi,<span class="keywordtype">int</span> n,<span class="keywordtype">int</span> *rnnz,<span class="keywordtype">int</span> m){
<a name="l00921"></a>00921
<a name="l00922"></a>00922 <span class="keywordtype">int</span> i,j,k1,k2,nrow=A->nrow;
<a name="l00923"></a>00923 <span class="keyword">const</span> <span class="keywordtype">int</span> *nnz=A->nnz,*col=A->col;
<a name="l00924"></a>00924 DSDPFunctionBegin;
<a name="l00925"></a>00925 <span class="keywordflow">for</span> (i=0; i<nrow; i++){
<a name="l00926"></a>00926 k1=nnz[i];
<a name="l00927"></a>00927 k2=nnz[i+1];
<a name="l00928"></a>00928 <span class="keywordflow">for</span> (j=k1; j<k2; j++){
<a name="l00929"></a>00929 <span class="keywordflow">if</span> (wi[col[j]]){
<a name="l00930"></a>00930 rnnz[i]++;
<a name="l00931"></a>00931 }
<a name="l00932"></a>00932 }
<a name="l00933"></a>00933 }
<a name="l00934"></a>00934 DSDPFunctionReturn(0);
<a name="l00935"></a>00935 }
<a name="l00936"></a>00936 <span class="comment">/*</span>
<a name="l00937"></a>00937 <span class="comment">static int SpRowMatAddRowMultiple(smatx* A, int nrow, double ytmp, double row[], int n){</span>
<a name="l00938"></a>00938 <span class="comment"> int k;</span>
<a name="l00939"></a>00939 <span class="comment"> int *col=A->col, *nnz=A->nnz;</span>
<a name="l00940"></a>00940 <span class="comment"> double *an=A->an;</span>
<a name="l00941"></a>00941 <span class="comment"></span>
<a name="l00942"></a>00942 <span class="comment"> for (k=nnz[nrow]; k<nnz[nrow+1]; k++){</span>
<a name="l00943"></a>00943 <span class="comment"> row[col[k]] += ytmp * an[k];</span>
<a name="l00944"></a>00944 <span class="comment"> }</span>
<a name="l00945"></a>00945 <span class="comment"> </span>
<a name="l00946"></a>00946 <span class="comment"> return 0;</span>
<a name="l00947"></a>00947 <span class="comment">}</span>
<a name="l00948"></a>00948 <span class="comment">*/</span>
<a name="l00949"></a>00949 <span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatNorm2(smatx* A, <span class="keywordtype">int</span> nrow, <span class="keywordtype">double</span> *norm22){
<a name="l00950"></a>00950 <span class="keywordtype">int</span> k;
<a name="l00951"></a>00951 <span class="keyword">const</span> <span class="keywordtype">int</span> *nnz=A->nnz;
<a name="l00952"></a>00952 <span class="keywordtype">double</span> tt=0;
<a name="l00953"></a>00953 <span class="keyword">const</span> <span class="keywordtype">double</span> *an=A->an;
<a name="l00954"></a>00954
<a name="l00955"></a>00955 <span class="keywordflow">for</span> (k=nnz[nrow]; k<nnz[nrow+1]; k++){
<a name="l00956"></a>00956 tt+=an[k]*an[k];
<a name="l00957"></a>00957 }
<a name="l00958"></a>00958 *norm22=tt;
<a name="l00959"></a>00959 <span class="keywordflow">return</span> 0;
<a name="l00960"></a>00960 }
<a name="l00961"></a>00961
<a name="l00962"></a>00962
<a name="l00963"></a>00963 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00964"></a>00964 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "SpRowMatGetRowVector"</span>
<a name="l00965"></a>00965 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatGetRowVector(smatx* M, <span class="keywordtype">int</span> row, <span class="keywordtype">double</span> r[], <span class="keywordtype">int</span> m){
<a name="l00966"></a>00966
<a name="l00967"></a>00967 <span class="keywordtype">int</span> i,k1,k2;
<a name="l00968"></a>00968 <span class="keyword">const</span> <span class="keywordtype">int</span> *col=M->col;
<a name="l00969"></a>00969 <span class="keyword">const</span> <span class="keywordtype">double</span> *an=M->an;
<a name="l00970"></a>00970 <span class="comment">/* </span>
<a name="l00971"></a>00971 <span class="comment"> if (M->ncol != m) return 1;</span>
<a name="l00972"></a>00972 <span class="comment"> if (row<0 || row>= M->nrow) return 2;</span>
<a name="l00973"></a>00973 <span class="comment"> if (r==0) return 3;</span>
<a name="l00974"></a>00974 <span class="comment"> */</span>
<a name="l00975"></a>00975 memset((<span class="keywordtype">void</span>*)r,0,m*<span class="keyword">sizeof</span>(<span class="keywordtype">double</span>));
<a name="l00976"></a>00976 k1=M->nnz[row];
<a name="l00977"></a>00977 k2=M->nnz[row+1];
<a name="l00978"></a>00978
<a name="l00979"></a>00979 <span class="keywordflow">for</span> (i=k1; i<k2; i++){
<a name="l00980"></a>00980 r[col[i]]=an[i];
<a name="l00981"></a>00981 }
<a name="l00982"></a>00982
<a name="l00983"></a>00983 <span class="keywordflow">return</span> 0;
<a name="l00984"></a>00984 }
<a name="l00985"></a>00985 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l00986"></a>00986 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "SpRowMatGetScaledRowVector"</span>
<a name="l00987"></a>00987 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatGetScaledRowVector(smatx* M, <span class="keywordtype">int</span> row, <span class="keyword">const</span> <span class="keywordtype">double</span> ss[], <span class="keywordtype">double</span> r[], <span class="keywordtype">int</span> m){
<a name="l00988"></a>00988
<a name="l00989"></a>00989 <span class="keywordtype">int</span> i,k1,k2;
<a name="l00990"></a>00990 <span class="keyword">const</span> <span class="keywordtype">int</span> *col=M->col;
<a name="l00991"></a>00991 <span class="keyword">const</span> <span class="keywordtype">double</span> *an=M->an;
<a name="l00992"></a>00992 <span class="comment">/* </span>
<a name="l00993"></a>00993 <span class="comment"> if (M->ncol != m) return 1;</span>
<a name="l00994"></a>00994 <span class="comment"> if (row<0 || row>= M->nrow) return 2;</span>
<a name="l00995"></a>00995 <span class="comment"> if (r==0) return 3;</span>
<a name="l00996"></a>00996 <span class="comment"> */</span>
<a name="l00997"></a>00997 memset((<span class="keywordtype">void</span>*)r,0,m*<span class="keyword">sizeof</span>(<span class="keywordtype">double</span>));
<a name="l00998"></a>00998 k1=M->nnz[row];
<a name="l00999"></a>00999 k2=M->nnz[row+1];
<a name="l01000"></a>01000
<a name="l01001"></a>01001 <span class="keywordflow">for</span> (i=k1; i<k2; i++){
<a name="l01002"></a>01002 r[col[i]]=ss[col[i]]*an[i];
<a name="l01003"></a>01003 }
<a name="l01004"></a>01004
<a name="l01005"></a>01005 <span class="keywordflow">return</span> 0;
<a name="l01006"></a>01006 }
<a name="l01007"></a>01007
<a name="l01008"></a>01008
<a name="l01009"></a>01009 <span class="comment">/*</span>
<a name="l01010"></a>01010 <span class="comment">#undef __FUNCT__</span>
<a name="l01011"></a>01011 <span class="comment">#define __FUNCT__ "SpRowMatZero"</span>
<a name="l01012"></a>01012 <span class="comment">static int SpRowMatZero(smatx* M){</span>
<a name="l01013"></a>01013 <span class="comment"></span>
<a name="l01014"></a>01014 <span class="comment"> int nnz=M->nnz[M->nrow];</span>
<a name="l01015"></a>01015 <span class="comment"> memset(M->an,0,(nnz)*sizeof(double));</span>
<a name="l01016"></a>01016 <span class="comment"></span>
<a name="l01017"></a>01017 <span class="comment"> return 0;</span>
<a name="l01018"></a>01018 <span class="comment">}</span>
<a name="l01019"></a>01019 <span class="comment"></span>
<a name="l01020"></a>01020 <span class="comment"></span>
<a name="l01021"></a>01021 <span class="comment"></span>
<a name="l01022"></a>01022 <span class="comment">#undef __FUNCT__</span>
<a name="l01023"></a>01023 <span class="comment">#define __FUNCT__ "SpRowGetSize"</span>
<a name="l01024"></a>01024 <span class="comment">static int SpRowMatGetSize(smatx *M, int *m, int *n){</span>
<a name="l01025"></a>01025 <span class="comment"> *m=M->nrow;</span>
<a name="l01026"></a>01026 <span class="comment"> *n=M->ncol;</span>
<a name="l01027"></a>01027 <span class="comment"></span>
<a name="l01028"></a>01028 <span class="comment"> return 0;</span>
<a name="l01029"></a>01029 <span class="comment">}</span>
<a name="l01030"></a>01030 <span class="comment">*/</span>
<a name="l01031"></a>01031 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l01032"></a>01032 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "SpRowMatDestroy"</span>
<a name="l01033"></a>01033 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatDestroy(smatx* A){
<a name="l01034"></a>01034
<a name="l01035"></a>01035 <span class="keywordflow">if</span> (A->owndata){
<a name="l01036"></a>01036 printf(<span class="stringliteral">"Can't free array"</span>);
<a name="l01037"></a>01037 <span class="keywordflow">return</span> 1;
<a name="l01038"></a>01038 <span class="comment">/*</span>
<a name="l01039"></a>01039 <span class="comment"> if (A->an) free(A->an);</span>
<a name="l01040"></a>01040 <span class="comment"> if (A->col) free(A->col);</span>
<a name="l01041"></a>01041 <span class="comment"> if (A->nnz) free(A->nnz);</span>
<a name="l01042"></a>01042 <span class="comment"> */</span>
<a name="l01043"></a>01043 }
<a name="l01044"></a>01044 <span class="keywordflow">if</span> (A->nzrows) free(A->nzrows);
<a name="l01045"></a>01045 free(A);
<a name="l01046"></a>01046
<a name="l01047"></a>01047 <span class="keywordflow">return</span> 0;
<a name="l01048"></a>01048 }
<a name="l01049"></a>01049
<a name="l01050"></a>01050 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l01051"></a>01051 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "SpRowMatView"</span>
<a name="l01052"></a>01052 <span class="preprocessor"></span><span class="keyword">static</span> <span class="keywordtype">int</span> SpRowMatView(smatx* M){
<a name="l01053"></a>01053
<a name="l01054"></a>01054 <span class="keywordtype">int</span> i,j,k1,k2;
<a name="l01055"></a>01055
<a name="l01056"></a>01056 <span class="keywordflow">for</span> (i=0; i<M->nrow; i++){
<a name="l01057"></a>01057 k1=M->nnz[i]; k2=M->nnz[i+1];
<a name="l01058"></a>01058
<a name="l01059"></a>01059 <span class="keywordflow">if</span> (k2-k1 >0){
<a name="l01060"></a>01060 printf(<span class="stringliteral">"Row %d, (Variable y%d) : "</span>,i,i+1);
<a name="l01061"></a>01061 <span class="keywordflow">for</span> (j=k1; j<k2; j++)
<a name="l01062"></a>01062 printf(<span class="stringliteral">" %4.2e x%d + "</span>,M->an[j],M->col[j]);
<a name="l01063"></a>01063 printf(<span class="stringliteral">"= dobj%d \n"</span>,i+1);
<a name="l01064"></a>01064 }
<a name="l01065"></a>01065 }
<a name="l01066"></a>01066
<a name="l01067"></a>01067 <span class="keywordflow">return</span> 0;
<a name="l01068"></a>01068 }
<a name="l01069"></a>01069
<a name="l01070"></a>01070 <span class="preprocessor">#undef __FUNCT__</span>
<a name="l01071"></a>01071 <span class="preprocessor"></span><span class="preprocessor">#define __FUNCT__ "LPConeView"</span>
<a name="l01072"></a>01072 <span class="preprocessor"></span>
<a name="l01078"></a><a class="code" href="group__LPRoutines.html#ga9eff46728f001c00a0fb6ef11a5f7813">01078</a> <span class="keywordtype">int</span> <a class="code" href="group__LPRoutines.html#ga9eff46728f001c00a0fb6ef11a5f7813" title="Print the data in the LP cone to the screen.">LPConeView</a>(<a class="code" href="dsdp5_8h.html#ab974b47d582ebca94a1486e5bb0cdd18" title="The LPCone object points to blocks of data that specify linear scalar inequality constraints.">LPCone</a> lpcone){
<a name="l01079"></a>01079
<a name="l01080"></a>01080 smatx* A=lpcone->A;
<a name="l01081"></a>01081 <span class="keywordtype">int</span> i,j,jj,info;
<a name="l01082"></a>01082 <span class="keyword">const</span> <span class="keywordtype">int</span> *row=A->col,*nnz=A->nnz;
<a name="l01083"></a>01083 <span class="keywordtype">int</span> n=A->ncol,m=A->nrow;
<a name="l01084"></a>01084 <span class="keyword">const</span> <span class="keywordtype">double</span> *an=A->an;
<a name="l01085"></a>01085 <span class="keywordtype">double</span> cc;
<a name="l01086"></a>01086 <a class="code" href="dsdpvec_8h.html#a421243d35437ad44ded3c1e34198e8e9" title="This object hold m+2 variables: a scaling of C, the y variables, and r.">DSDPVec</a> C=lpcone->C;
<a name="l01087"></a>01087 DSDPFunctionBegin;
<a name="l01088"></a>01088 printf(<span class="stringliteral">"LPCone Constraint Matrix\n"</span>);
<a name="l01089"></a>01089 printf(<span class="stringliteral">"Number y variables 1 through %d\n"</span>,m);
<a name="l01090"></a>01090 <span class="keywordflow">for</span> (i=0; i<n; i++){
<a name="l01091"></a>01091 printf(<span class="stringliteral">"Inequality %d: "</span>,i);
<a name="l01092"></a>01092 <span class="keywordflow">for</span> (j=0;j<m;j++){
<a name="l01093"></a>01093 <span class="keywordflow">for</span> (jj=nnz[j];jj<nnz[j+1];jj++){
<a name="l01094"></a>01094 <span class="keywordflow">if</span> (row[jj]==i){
<a name="l01095"></a>01095 printf(<span class="stringliteral">"%4.2e y%d + "</span>,an[jj],j+1);
<a name="l01096"></a>01096 }
<a name="l01097"></a>01097 }
<a name="l01098"></a>01098 }
<a name="l01099"></a>01099 info=DSDPVecGetElement(C,i,&cc);DSDPCHKERR(info);
<a name="l01100"></a>01100 printf(<span class="stringliteral">" <= %4.2e\n"</span>,cc);
<a name="l01101"></a>01101 }
<a name="l01102"></a>01102 DSDPFunctionReturn(0);
<a name="l01103"></a>01103 }
<a name="l01104"></a>01104
<a name="l01105"></a>01105
</pre></div></div>
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