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| author | Harpreet | 2015-11-02 16:20:08 +0530 |
|---|---|---|
| committer | Harpreet | 2015-11-02 16:20:08 +0530 |
| commit | 29e8e8bbd43892c7fa146c165fdf128f786d6a7b (patch) | |
| tree | edeacf24d149d777859c2eff9661d04c7bd2f93d /help | |
| parent | eb054c02e76fa28638b595865f5eda52277b70be (diff) | |
| download | FOSSEE-Optimization-toolbox-29e8e8bbd43892c7fa146c165fdf128f786d6a7b.tar.gz FOSSEE-Optimization-toolbox-29e8e8bbd43892c7fa146c165fdf128f786d6a7b.tar.bz2 FOSSEE-Optimization-toolbox-29e8e8bbd43892c7fa146c165fdf128f786d6a7b.zip | |
README.rst added
Diffstat (limited to 'help')
24 files changed, 764 insertions, 41 deletions
diff --git a/help/en_US/README.rst b/help/en_US/README.rst new file mode 100644 index 0000000..95f8ace --- /dev/null +++ b/help/en_US/README.rst @@ -0,0 +1,6 @@ +Help XML +======== + +This directory contains all of help files in XML. These files are automatically generated by help_from_sci function by the help of comments in Macro. + +By the help of this we can generate html and jar files. diff --git a/help/en_US/README.rst~ b/help/en_US/README.rst~ new file mode 100644 index 0000000..8e9edd5 --- /dev/null +++ b/help/en_US/README.rst~ @@ -0,0 +1,5 @@ +Help XML +======== + +This directory contains all of help files in XML. These files are automatically generated by help_from_sci function by the help of comments in Macro. + diff --git a/help/en_US/master_help.xml b/help/en_US/master_help.xml index 791d3d0..67338f2 100644 --- a/help/en_US/master_help.xml +++ b/help/en_US/master_help.xml @@ -2,9 +2,9 @@ <!DOCTYPE book [ <!--Begin Entities--> <!ENTITY a6b85f6e0c98751f20b68663a23cb4cd2 SYSTEM "/home/harpreet/symphony_work/symphony/help/en_US/qpipopt.xml"> -<!ENTITY a44928acec52adf395379e18fcff06730 SYSTEM "/home/harpreet/symphony_work/symphony/help/en_US/qpipopt_mat.xml"> +<!ENTITY a8549a3935858ed104f4749ca2243456a SYSTEM "/home/harpreet/symphony_work/symphony/help/en_US/qpipoptmat.xml"> <!ENTITY aca972f273143ecb39f56b42e4723ac67 SYSTEM "/home/harpreet/symphony_work/symphony/help/en_US/symphony.xml"> -<!ENTITY a9953e61e8dd264a86df73772d3055e7f SYSTEM "/home/harpreet/symphony_work/symphony/help/en_US/symphony_mat.xml"> +<!ENTITY a9910ada35b57b0581e8a77d145abac4a SYSTEM "/home/harpreet/symphony_work/symphony/help/en_US/symphonymat.xml"> <!ENTITY acc223314e8a8bc290a13618df33a6237 SYSTEM "/home/harpreet/symphony_work/symphony/help/en_US/Symphony Native Function/sym_addConstr.xml"> <!ENTITY a5e032b3334f53385f0ce250f0d5c18f2 SYSTEM "/home/harpreet/symphony_work/symphony/help/en_US/Symphony Native Function/sym_addVar.xml"> <!ENTITY a11ac5af5f92741f96e56398fe6113c1a SYSTEM "/home/harpreet/symphony_work/symphony/help/en_US/Symphony Native Function/sym_close.xml"> @@ -80,9 +80,9 @@ <part xml:id='section_19f4f1e5726c01d683e8b82be0a7e910'> <title>Symphony Toolbox</title> &a6b85f6e0c98751f20b68663a23cb4cd2; -&a44928acec52adf395379e18fcff06730; +&a8549a3935858ed104f4749ca2243456a; &aca972f273143ecb39f56b42e4723ac67; -&a9953e61e8dd264a86df73772d3055e7f; +&a9910ada35b57b0581e8a77d145abac4a; <chapter xml:id='section_508f0b211d17ea6769714cc144e6b731'> <title>Symphony Native Functions</title> &acc223314e8a8bc290a13618df33a6237; diff --git a/help/en_US/qpipopt.xml b/help/en_US/qpipopt.xml index 144fe18..aecbe40 100644 --- a/help/en_US/qpipopt.xml +++ b/help/en_US/qpipopt.xml @@ -25,6 +25,8 @@ <title>Calling Sequence</title> <synopsis> xopt = qpipopt(nbVar,nbCon,Q,p,LB,UB,conMatrix,conLB,conUB) + xopt = qpipopt(nbVar,nbCon,Q,p,LB,UB,conMatrix,conLB,conUB,x0) + xopt = qpipopt(nbVar,nbCon,Q,p,LB,UB,conMatrix,conLB,conUB,x0,param) [xopt,fopt,exitflag,output,lamda] = qpipopt( ... ) </synopsis> @@ -40,17 +42,21 @@ <varlistentry><term>Q :</term> <listitem><para> a n x n symmetric matrix of doubles, where n is number of variables, represents coefficients of quadratic in the quadratic problem.</para></listitem></varlistentry> <varlistentry><term>p :</term> - <listitem><para> a 1 x n matrix of doubles, where n is number of variables, represents coefficients of linear in the quadratic problem</para></listitem></varlistentry> + <listitem><para> a n x 1 matrix of doubles, where n is number of variables, represents coefficients of linear in the quadratic problem</para></listitem></varlistentry> <varlistentry><term>LB :</term> - <listitem><para> a 1 x n matrix of doubles, where n is number of variables, contains lower bounds of the variables.</para></listitem></varlistentry> + <listitem><para> a n x 1 matrix of doubles, where n is number of variables, contains lower bounds of the variables.</para></listitem></varlistentry> <varlistentry><term>UB :</term> - <listitem><para> a 1 x n matrix of doubles, where n is number of variables, contains upper bounds of the variables.</para></listitem></varlistentry> + <listitem><para> a n x 1 matrix of doubles, where n is number of variables, contains upper bounds of the variables.</para></listitem></varlistentry> <varlistentry><term>conMatrix :</term> <listitem><para> a m x n matrix of doubles, where n is number of variables and m is number of constraints, contains matrix representing the constraint matrix</para></listitem></varlistentry> <varlistentry><term>conLB :</term> <listitem><para> a m x 1 matrix of doubles, where m is number of constraints, contains lower bounds of the constraints.</para></listitem></varlistentry> <varlistentry><term>conUB :</term> <listitem><para> a m x 1 matrix of doubles, where m is number of constraints, contains upper bounds of the constraints.</para></listitem></varlistentry> + <varlistentry><term>x0 :</term> + <listitem><para> a m x 1 matrix of doubles, where m is number of constraints, contains initial guess of variables.</para></listitem></varlistentry> + <varlistentry><term>param :</term> + <listitem><para> a list containing the the parameters to be set.</para></listitem></varlistentry> <varlistentry><term>xopt :</term> <listitem><para> a 1xn matrix of doubles, the computed solution of the optimization problem.</para></listitem></varlistentry> <varlistentry><term>fopt :</term> @@ -104,7 +110,9 @@ ub=[10000; 100; 1.5; 100; 100; 1000]; p=[1; 2; 3; 4; 5; 6]; Q=eye(6,6); nbVar = 6; nbCon = 5; -[xopt,fopt,exitflag,output,lambda]=qpipopt(nbVar,nbCon,Q,p,lb,ub,conMatrix,conLB,conUB) +x0 = repmat(0,nbVar,1); +param = list("MaxIter", 300, "CpuTime", 100); +[xopt,fopt,exitflag,output,lambda]=qpipopt(nbVar,nbCon,Q,p,lb,ub,conMatrix,conLB,conUB,x0,param) ]]></programlisting> </refsection> diff --git a/help/en_US/qpipoptmat.xml b/help/en_US/qpipoptmat.xml new file mode 100644 index 0000000..eb8e737 --- /dev/null +++ b/help/en_US/qpipoptmat.xml @@ -0,0 +1,149 @@ +<?xml version="1.0" encoding="UTF-8"?> + +<!-- + * + * This help file was generated from qpipoptmat.sci using help_from_sci(). + * + --> + +<refentry version="5.0-subset Scilab" xml:id="qpipoptmat" xml:lang="en" + xmlns="http://docbook.org/ns/docbook" + xmlns:xlink="http://www.w3.org/1999/xlink" + xmlns:svg="http://www.w3.org/2000/svg" + xmlns:ns3="http://www.w3.org/1999/xhtml" + xmlns:mml="http://www.w3.org/1998/Math/MathML" + xmlns:scilab="http://www.scilab.org" + xmlns:db="http://docbook.org/ns/docbook"> + + <refnamediv> + <refname>qpipoptmat</refname> + <refpurpose>Solves a linear quadratic problem.</refpurpose> + </refnamediv> + + +<refsynopsisdiv> + <title>Calling Sequence</title> + <synopsis> + x = qpipoptmat(H,f) + x = qpipoptmat(H,f,A,b) + x = qpipoptmat(H,f,A,b,Aeq,beq) + x = qpipoptmat(H,f,A,b,Aeq,beq,lb,ub) + x = qpipoptmat(H,f,A,b,Aeq,beq,lb,ub,x0) + x = qpipoptmat(H,f,A,b,Aeq,beq,lb,ub,x0,param) + [xopt,fopt,exitflag,output,lamda] = qpipoptmat( ... ) + + </synopsis> +</refsynopsisdiv> + +<refsection> + <title>Parameters</title> + <variablelist> + <varlistentry><term>H :</term> + <listitem><para> a n x n matrix of doubles, where n is number of variables, represents coefficients of quadratic in the quadratic problem.</para></listitem></varlistentry> + <varlistentry><term>f :</term> + <listitem><para> a n x 1 matrix of doubles, where n is number of variables, represents coefficients of linear in the quadratic problem</para></listitem></varlistentry> + <varlistentry><term>A :</term> + <listitem><para> a m x n matrix of doubles, represents the linear coefficients in the inequality constraints</para></listitem></varlistentry> + <varlistentry><term>b :</term> + <listitem><para> a column vector of doubles, represents the linear coefficients in the inequality constraints</para></listitem></varlistentry> + <varlistentry><term>Aeq :</term> + <listitem><para> a meq x n matrix of doubles, represents the linear coefficients in the equality constraints</para></listitem></varlistentry> + <varlistentry><term>beq :</term> + <listitem><para> a vector of doubles, represents the linear coefficients in the equality constraints</para></listitem></varlistentry> + <varlistentry><term>LB :</term> + <listitem><para> a n x 1 matrix of doubles, where n is number of variables, contains lower bounds of the variables.</para></listitem></varlistentry> + <varlistentry><term>UB :</term> + <listitem><para> a n x 1 matrix of doubles, where n is number of variables, contains upper bounds of the variables.</para></listitem></varlistentry> + <varlistentry><term>x0 :</term> + <listitem><para> a m x 1 matrix of doubles, where m is number of constraints, contains initial guess of variables.</para></listitem></varlistentry> + <varlistentry><term>param :</term> + <listitem><para> a list containing the the parameters to be set.</para></listitem></varlistentry> + <varlistentry><term>xopt :</term> + <listitem><para> a nx1 matrix of doubles, the computed solution of the optimization problem.</para></listitem></varlistentry> + <varlistentry><term>fopt :</term> + <listitem><para> a 1x1 matrix of doubles, the function value at x.</para></listitem></varlistentry> + <varlistentry><term>exitflag :</term> + <listitem><para> Integer identifying the reason the algorithm terminated.</para></listitem></varlistentry> + <varlistentry><term>output :</term> + <listitem><para> Structure containing information about the optimization.</para></listitem></varlistentry> + <varlistentry><term>lambda :</term> + <listitem><para> Structure containing the Lagrange multipliers at the solution x (separated by constraint type).</para></listitem></varlistentry> + </variablelist> +</refsection> + +<refsection> + <title>Description</title> + <para> +Search the minimum of a constrained linear quadratic optimization problem specified by : +find the minimum of f(x) such that + </para> + <para> +<latex> +\begin{eqnarray} +&\mbox{min}_{x} +& 1/2*x'*H*x + f'*x \\ +& \text{subject to} & A.x \leq b \\ +& & Aeq.x \leq beq \\ +& & lb \leq x \leq ub \\ +\end{eqnarray} +</latex> + </para> + <para> +We are calling IPOpt for solving the quadratic problem, IPOpt is a library written in C++. The code has been written by Andreas Wächter and Carl Laird. + </para> + <para> +</para> +</refsection> + +<refsection> + <title>Examples</title> + <programlisting role="example"><![CDATA[ +//Find x in R^6 such that: + +Aeq= [1,-1,1,0,3,1; +-1,0,-3,-4,5,6; +2,5,3,0,1,0]; +beq=[1; 2; 3]; +A= [0,1,0,1,2,-1; +-1,0,2,1,1,0]; +b = [-1; 2.5]; +lb=[-1000; -10000; 0; -1000; -1000; -1000]; +ub=[10000; 100; 1.5; 100; 100; 1000]; +x0 = repmat(0,6,1); +param = list("MaxIter", 300, "CpuTime", 100); +//and minimize 0.5*x'*Q*x + p'*x with +f=[1; 2; 3; 4; 5; 6]; H=eye(6,6); +[xopt,fopt,exitflag,output,lambda]=qpipoptmat(H,f,A,b,Aeq,beq,lb,ub,[],param); +clear H f A b Aeq beq lb ub; + + ]]></programlisting> +</refsection> + +<refsection> + <title>Examples</title> + <programlisting role="example"><![CDATA[ +//Find the value of x that minimize following function +// f(x) = 0.5*x1^2 + x2^2 - x1*x2 - 2*x1 - 6*x2 +// Subject to: +// x1 + x2 ≤ 2 +// –x1 + 2x2 ≤ 2 +// 2x1 + x2 ≤ 3 +// 0 ≤ x1, 0 ≤ x2. +H = [1 -1; -1 2]; +f = [-2; -6]; +A = [1 1; -1 2; 2 1]; +b = [2; 2; 3]; +lb = [0; 0]; +ub = [%inf; %inf]; +[xopt,fopt,exitflag,output,lambda] = qpipoptmat(H,f,A,b,[],[],lb,ub) + + ]]></programlisting> +</refsection> + +<refsection> + <title>Authors</title> + <simplelist type="vert"> + <member>Keyur Joshi, Saikiran, Iswarya, Harpreet Singh</member> + </simplelist> +</refsection> +</refentry> diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS b/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS Binary files differindex 1b55b83..bf90ce2 100644 --- a/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS +++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS.TAB b/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS.TAB index 3b7b18b..1b174ab 100644 --- a/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS.TAB +++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS.TAB @@ -1,6 +1,2 @@ -e__y_u'\''uEIuSI0 '@
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\ No newline at end of file diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/OFFSETS b/help/en_US/scilab_en_US_help/JavaHelpSearch/OFFSETS Binary files differindex e290f81..ac2dfed 100644 --- a/help/en_US/scilab_en_US_help/JavaHelpSearch/OFFSETS +++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/OFFSETS diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/POSITIONS b/help/en_US/scilab_en_US_help/JavaHelpSearch/POSITIONS Binary files differindex 7fd9ab2..8be86f0 100644 --- a/help/en_US/scilab_en_US_help/JavaHelpSearch/POSITIONS +++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/POSITIONS diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/SCHEMA b/help/en_US/scilab_en_US_help/JavaHelpSearch/SCHEMA index 59337ab..c0f76d2 100644 --- a/help/en_US/scilab_en_US_help/JavaHelpSearch/SCHEMA +++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/SCHEMA @@ -1,2 +1,2 @@ JavaSearch 1.0 -TMAP bs=2048 rt=1 fl=-1 id1=1347 id2=1 +TMAP bs=2048 rt=1 fl=-1 id1=1355 id2=1 diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/TMAP b/help/en_US/scilab_en_US_help/JavaHelpSearch/TMAP Binary files differindex 0f25c4d..28f8966 100644 --- a/help/en_US/scilab_en_US_help/JavaHelpSearch/TMAP +++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/TMAP diff --git a/help/en_US/scilab_en_US_help/_LaTeX_qpipoptmat.xml_1.png b/help/en_US/scilab_en_US_help/_LaTeX_qpipoptmat.xml_1.png Binary files differnew file mode 100644 index 0000000..b6e2743 --- /dev/null +++ b/help/en_US/scilab_en_US_help/_LaTeX_qpipoptmat.xml_1.png diff --git a/help/en_US/scilab_en_US_help/_LaTeX_symphonymat.xml_1.png b/help/en_US/scilab_en_US_help/_LaTeX_symphonymat.xml_1.png Binary files differnew file mode 100644 index 0000000..07dafd6 --- /dev/null +++ b/help/en_US/scilab_en_US_help/_LaTeX_symphonymat.xml_1.png diff --git a/help/en_US/scilab_en_US_help/index.html b/help/en_US/scilab_en_US_help/index.html index 2b1442a..12fb83c 100644 --- a/help/en_US/scilab_en_US_help/index.html +++ b/help/en_US/scilab_en_US_help/index.html @@ -38,7 +38,7 @@ -<li><a href="qpipopt_mat.html" class="refentry">qpipopt_mat</a> — <span class="refentry-description">Solves a linear quadratic problem.</span></li> +<li><a href="qpipoptmat.html" class="refentry">qpipoptmat</a> — <span class="refentry-description">Solves a linear quadratic problem.</span></li> @@ -50,7 +50,7 @@ -<li><a href="symphony_mat.html" class="refentry">symphony_mat</a> — <span class="refentry-description">Solves a mixed integer linear programming constrained optimization problem in intlinprog format.</span></li> +<li><a href="symphonymat.html" class="refentry">symphonymat</a> — <span class="refentry-description">Solves a mixed integer linear programming constrained optimization problem in intlinprog format.</span></li> <li><a href="section_508f0b211d17ea6769714cc144e6b731.html" class="chapter">Symphony Native Functions</a> <ul class="list-refentry"><li><a href="sym_addConstr.html" class="refentry">sym_addConstr</a> — <span class="refentry-description">Add a new constraint</span></li> diff --git a/help/en_US/scilab_en_US_help/jhelpmap.jhm b/help/en_US/scilab_en_US_help/jhelpmap.jhm index 1601f23..9dfdea5 100644 --- a/help/en_US/scilab_en_US_help/jhelpmap.jhm +++ b/help/en_US/scilab_en_US_help/jhelpmap.jhm @@ -4,9 +4,9 @@ <mapID target="index" url="index.html"/> <mapID target="section_19f4f1e5726c01d683e8b82be0a7e910" url="section_19f4f1e5726c01d683e8b82be0a7e910.html"/> <mapID target="qpipopt" url="qpipopt.html"/> -<mapID target="qpipopt_mat" url="qpipopt_mat.html"/> +<mapID target="qpipoptmat" url="qpipoptmat.html"/> <mapID target="symphony" url="symphony.html"/> -<mapID target="symphony_mat" url="symphony_mat.html"/> +<mapID target="symphonymat" url="symphonymat.html"/> <mapID target="section_508f0b211d17ea6769714cc144e6b731" url="section_508f0b211d17ea6769714cc144e6b731.html"/> <mapID target="sym_addConstr" url="sym_addConstr.html"/> <mapID target="sym_addVar" url="sym_addVar.html"/> diff --git a/help/en_US/scilab_en_US_help/jhelptoc.xml b/help/en_US/scilab_en_US_help/jhelptoc.xml index 463b86d..84c6d37 100644 --- a/help/en_US/scilab_en_US_help/jhelptoc.xml +++ b/help/en_US/scilab_en_US_help/jhelptoc.xml @@ -4,9 +4,9 @@ <tocitem target="index" text="Symphony Toolbox"> <tocitem target="section_19f4f1e5726c01d683e8b82be0a7e910" text="Symphony Toolbox"> <tocitem target="qpipopt" text="qpipopt"/> -<tocitem target="qpipopt_mat" text="qpipopt_mat"/> +<tocitem target="qpipoptmat" text="qpipoptmat"/> <tocitem target="symphony" text="symphony"/> -<tocitem target="symphony_mat" text="symphony_mat"/> +<tocitem target="symphonymat" text="symphonymat"/> <tocitem target="section_508f0b211d17ea6769714cc144e6b731" text="Symphony Native Functions"> <tocitem target="sym_addConstr" text="sym_addConstr"/> <tocitem target="sym_addVar" text="sym_addVar"/> diff --git a/help/en_US/scilab_en_US_help/qpipopt.html b/help/en_US/scilab_en_US_help/qpipopt.html index fba4521..6659f44 100644 --- a/help/en_US/scilab_en_US_help/qpipopt.html +++ b/help/en_US/scilab_en_US_help/qpipopt.html @@ -20,7 +20,7 @@ </td> <td width="30%" class="next"> - <span class="next"><a href="qpipopt_mat.html">qpipopt_mat >></a></span> + <span class="next"><a href="qpipoptmat.html">qpipoptmat >></a></span> </td> </tr></table> @@ -38,6 +38,8 @@ <div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3> <div class="synopsis"><pre><span class="default">xopt</span><span class="default"> = </span><span class="functionid">qpipopt</span><span class="default">(</span><span class="default">nbVar</span><span class="default">,</span><span class="default">nbCon</span><span class="default">,</span><span class="default">Q</span><span class="default">,</span><span class="default">p</span><span class="default">,</span><span class="default">LB</span><span class="default">,</span><span class="default">UB</span><span class="default">,</span><span class="default">conMatrix</span><span class="default">,</span><span class="default">conLB</span><span class="default">,</span><span class="default">conUB</span><span class="default">)</span> +<span class="default">xopt</span><span class="default"> = </span><span class="functionid">qpipopt</span><span class="default">(</span><span class="default">nbVar</span><span class="default">,</span><span class="default">nbCon</span><span class="default">,</span><span class="default">Q</span><span class="default">,</span><span class="default">p</span><span class="default">,</span><span class="default">LB</span><span class="default">,</span><span class="default">UB</span><span class="default">,</span><span class="default">conMatrix</span><span class="default">,</span><span class="default">conLB</span><span class="default">,</span><span class="default">conUB</span><span class="default">,</span><span class="default">x0</span><span class="default">)</span> +<span class="default">xopt</span><span class="default"> = </span><span class="functionid">qpipopt</span><span class="default">(</span><span class="default">nbVar</span><span class="default">,</span><span class="default">nbCon</span><span class="default">,</span><span class="default">Q</span><span class="default">,</span><span class="default">p</span><span class="default">,</span><span class="default">LB</span><span class="default">,</span><span class="default">UB</span><span class="default">,</span><span class="default">conMatrix</span><span class="default">,</span><span class="default">conLB</span><span class="default">,</span><span class="default">conUB</span><span class="default">,</span><span class="default">x0</span><span class="default">,</span><span class="default">param</span><span class="default">)</span> <span class="default">[</span><span class="default">xopt</span><span class="default">,</span><span class="default">fopt</span><span class="default">,</span><span class="default">exitflag</span><span class="default">,</span><span class="default">output</span><span class="default">,</span><span class="default">lamda</span><span class="default">] = </span><span class="functionid">qpipopt</span><span class="default">( ... )</span></pre></div></div> <div class="refsection"><h3 class="title">Parameters</h3> @@ -48,17 +50,21 @@ <dt><span class="term">Q :</span> <dd><p class="para">a n x n symmetric matrix of doubles, where n is number of variables, represents coefficients of quadratic in the quadratic problem.</p></dd></dt> <dt><span class="term">p :</span> - <dd><p class="para">a 1 x n matrix of doubles, where n is number of variables, represents coefficients of linear in the quadratic problem</p></dd></dt> + <dd><p class="para">a n x 1 matrix of doubles, where n is number of variables, represents coefficients of linear in the quadratic problem</p></dd></dt> <dt><span class="term">LB :</span> - <dd><p class="para">a 1 x n matrix of doubles, where n is number of variables, contains lower bounds of the variables.</p></dd></dt> + <dd><p class="para">a n x 1 matrix of doubles, where n is number of variables, contains lower bounds of the variables.</p></dd></dt> <dt><span class="term">UB :</span> - <dd><p class="para">a 1 x n matrix of doubles, where n is number of variables, contains upper bounds of the variables.</p></dd></dt> + <dd><p class="para">a n x 1 matrix of doubles, where n is number of variables, contains upper bounds of the variables.</p></dd></dt> <dt><span class="term">conMatrix :</span> <dd><p class="para">a m x n matrix of doubles, where n is number of variables and m is number of constraints, contains matrix representing the constraint matrix</p></dd></dt> <dt><span class="term">conLB :</span> <dd><p class="para">a m x 1 matrix of doubles, where m is number of constraints, contains lower bounds of the constraints.</p></dd></dt> <dt><span class="term">conUB :</span> <dd><p class="para">a m x 1 matrix of doubles, where m is number of constraints, contains upper bounds of the constraints.</p></dd></dt> + <dt><span class="term">x0 :</span> + <dd><p class="para">a m x 1 matrix of doubles, where m is number of constraints, contains initial guess of variables.</p></dd></dt> + <dt><span class="term">param :</span> + <dd><p class="para">a list containing the the parameters to be set.</p></dd></dt> <dt><span class="term">xopt :</span> <dd><p class="para">a 1xn matrix of doubles, the computed solution of the optimization problem.</p></dd></dt> <dt><span class="term">fopt :</span> @@ -92,7 +98,9 @@ find the minimum of f(x) such that</p> <span class="scilabid">p</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span> <span class="scilabnumber">2</span><span class="scilabdefault">;</span> <span class="scilabnumber">3</span><span class="scilabdefault">;</span> <span class="scilabnumber">4</span><span class="scilabdefault">;</span> <span class="scilabnumber">5</span><span class="scilabdefault">;</span> <span class="scilabnumber">6</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> <span class="scilabid">Q</span><span class="scilaboperator">=</span><a class="scilabcommand" href="scilab://eye">eye</a><span class="scilabopenclose">(</span><span class="scilabnumber">6</span><span class="scilabdefault">,</span><span class="scilabnumber">6</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> <span class="scilabid">nbVar</span> <span class="scilaboperator">=</span> <span class="scilabnumber">6</span><span class="scilabdefault">;</span> <span class="scilabid">nbCon</span> <span class="scilaboperator">=</span> <span class="scilabnumber">5</span><span class="scilabdefault">;</span> -<span class="scilabopenclose">[</span><span class="scilabid">xopt</span><span class="scilabdefault">,</span><span class="scilabid">fopt</span><span class="scilabdefault">,</span><span class="scilabid">exitflag</span><span class="scilabdefault">,</span><span class="scilabid">output</span><span class="scilabdefault">,</span><span class="scilabid">lambda</span><span class="scilabopenclose">]</span><span class="scilaboperator">=</span><span class="scilabid">qpipopt</span><span class="scilabopenclose">(</span><span class="scilabid">nbVar</span><span class="scilabdefault">,</span><span class="scilabid">nbCon</span><span class="scilabdefault">,</span><span class="scilabid">Q</span><span class="scilabdefault">,</span><span class="scilabid">p</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabdefault">,</span><span class="scilabid">conMatrix</span><span class="scilabdefault">,</span><span class="scilabid">conLB</span><span class="scilabdefault">,</span><span class="scilabid">conUB</span><span class="scilabopenclose">)</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> +<span class="scilabid">x0</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabid">nbVar</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> +<span class="scilabid">param</span> <span class="scilaboperator">=</span> <a class="scilabcommand" href="scilab://list">list</a><span class="scilabopenclose">(</span><span class="scilabstring">"</span><span class="scilabstring">MaxIter</span><span class="scilabstring">"</span><span class="scilabdefault">,</span> <span class="scilabnumber">300</span><span class="scilabdefault">,</span> <span class="scilabstring">"</span><span class="scilabstring">CpuTime</span><span class="scilabstring">"</span><span class="scilabdefault">,</span> <span class="scilabnumber">100</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> +<span class="scilabopenclose">[</span><span class="scilabid">xopt</span><span class="scilabdefault">,</span><span class="scilabid">fopt</span><span class="scilabdefault">,</span><span class="scilabid">exitflag</span><span class="scilabdefault">,</span><span class="scilabid">output</span><span class="scilabdefault">,</span><span class="scilabid">lambda</span><span class="scilabopenclose">]</span><span class="scilaboperator">=</span><span class="scilabid">qpipopt</span><span class="scilabopenclose">(</span><span class="scilabid">nbVar</span><span class="scilabdefault">,</span><span class="scilabid">nbCon</span><span class="scilabdefault">,</span><span class="scilabid">Q</span><span class="scilabdefault">,</span><span class="scilabid">p</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabdefault">,</span><span class="scilabid">conMatrix</span><span class="scilabdefault">,</span><span class="scilabid">conLB</span><span class="scilabdefault">,</span><span class="scilabid">conUB</span><span class="scilabdefault">,</span><span class="scilabid">x0</span><span class="scilabdefault">,</span><span class="scilabid">param</span><span class="scilabopenclose">)</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> <div class="refsection"><h3 class="title">Examples</h3> <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabcomment">//Find the value of x that minimize following function</span> @@ -130,7 +138,7 @@ find the minimum of f(x) such that</p> </td> <td width="30%" class="next"> - <span class="next"><a href="qpipopt_mat.html">qpipopt_mat >></a></span> + <span class="next"><a href="qpipoptmat.html">qpipoptmat >></a></span> </td> </tr></table> diff --git a/help/en_US/scilab_en_US_help/qpipoptmat.html b/help/en_US/scilab_en_US_help/qpipoptmat.html new file mode 100644 index 0000000..5e7518e --- /dev/null +++ b/help/en_US/scilab_en_US_help/qpipoptmat.html @@ -0,0 +1,146 @@ +<html><head> + <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> + <title>qpipoptmat</title> + <style type="text/css" media="all"> + @import url("scilab_code.css"); + @import url("xml_code.css"); + @import url("c_code.css"); + @import url("style.css"); + </style> + </head> + <body> + <div class="manualnavbar"> + <table width="100%"><tr> + <td width="30%"> + <span class="previous"><a href="qpipopt.html"><< qpipopt</a></span> + + </td> + <td width="40%" class="center"> + <span class="top"><a href="section_19f4f1e5726c01d683e8b82be0a7e910.html">Symphony Toolbox</a></span> + + </td> + <td width="30%" class="next"> + <span class="next"><a href="symphony.html">symphony >></a></span> + + </td> + </tr></table> + <hr /> + </div> + + + + <span class="path"><a href="index.html">Symphony Toolbox</a> >> <a href="section_19f4f1e5726c01d683e8b82be0a7e910.html">Symphony Toolbox</a> > qpipoptmat</span> + + <br /><br /> + <div class="refnamediv"><h1 class="refname">qpipoptmat</h1> + <p class="refpurpose">Solves a linear quadratic problem.</p></div> + + +<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3> + <div class="synopsis"><pre><span class="default">x</span><span class="default"> = </span><span class="functionid">qpipoptmat</span><span class="default">(</span><span class="default">H</span><span class="default">,</span><span class="default">f</span><span class="default">)</span> +<span class="default">x</span><span class="default"> = </span><span class="functionid">qpipoptmat</span><span class="default">(</span><span class="default">H</span><span class="default">,</span><span class="default">f</span><span class="default">,</span><span class="default">A</span><span class="default">,</span><span class="default">b</span><span class="default">)</span> +<span class="default">x</span><span class="default"> = </span><span class="functionid">qpipoptmat</span><span class="default">(</span><span class="default">H</span><span class="default">,</span><span class="default">f</span><span class="default">,</span><span class="default">A</span><span class="default">,</span><span class="default">b</span><span class="default">,</span><span class="default">Aeq</span><span class="default">,</span><span class="default">beq</span><span class="default">)</span> +<span class="default">x</span><span class="default"> = </span><span class="functionid">qpipoptmat</span><span class="default">(</span><span class="default">H</span><span class="default">,</span><span class="default">f</span><span class="default">,</span><span class="default">A</span><span class="default">,</span><span class="default">b</span><span class="default">,</span><span class="default">Aeq</span><span class="default">,</span><span class="default">beq</span><span class="default">,</span><span class="default">lb</span><span class="default">,</span><span class="default">ub</span><span class="default">)</span> +<span class="default">x</span><span class="default"> = </span><span class="functionid">qpipoptmat</span><span class="default">(</span><span class="default">H</span><span class="default">,</span><span class="default">f</span><span class="default">,</span><span class="default">A</span><span class="default">,</span><span class="default">b</span><span class="default">,</span><span class="default">Aeq</span><span class="default">,</span><span class="default">beq</span><span class="default">,</span><span class="default">lb</span><span class="default">,</span><span class="default">ub</span><span class="default">,</span><span class="default">x0</span><span class="default">)</span> +<span class="default">x</span><span class="default"> = </span><span class="functionid">qpipoptmat</span><span class="default">(</span><span class="default">H</span><span class="default">,</span><span class="default">f</span><span class="default">,</span><span class="default">A</span><span class="default">,</span><span class="default">b</span><span class="default">,</span><span class="default">Aeq</span><span class="default">,</span><span class="default">beq</span><span class="default">,</span><span class="default">lb</span><span class="default">,</span><span class="default">ub</span><span class="default">,</span><span class="default">x0</span><span class="default">,</span><span class="default">param</span><span class="default">)</span> +<span class="default">[</span><span class="default">xopt</span><span class="default">,</span><span class="default">fopt</span><span class="default">,</span><span class="default">exitflag</span><span class="default">,</span><span class="default">output</span><span class="default">,</span><span class="default">lamda</span><span class="default">] = </span><span class="functionid">qpipoptmat</span><span class="default">( ... )</span></pre></div></div> + +<div class="refsection"><h3 class="title">Parameters</h3> + <dl><dt><span class="term">H :</span> + <dd><p class="para">a n x n matrix of doubles, where n is number of variables, represents coefficients of quadratic in the quadratic problem.</p></dd></dt> + <dt><span class="term">f :</span> + <dd><p class="para">a n x 1 matrix of doubles, where n is number of variables, represents coefficients of linear in the quadratic problem</p></dd></dt> + <dt><span class="term">A :</span> + <dd><p class="para">a m x n matrix of doubles, represents the linear coefficients in the inequality constraints</p></dd></dt> + <dt><span class="term">b :</span> + <dd><p class="para">a column vector of doubles, represents the linear coefficients in the inequality constraints</p></dd></dt> + <dt><span class="term">Aeq :</span> + <dd><p class="para">a meq x n matrix of doubles, represents the linear coefficients in the equality constraints</p></dd></dt> + <dt><span class="term">beq :</span> + <dd><p class="para">a vector of doubles, represents the linear coefficients in the equality constraints</p></dd></dt> + <dt><span class="term">LB :</span> + <dd><p class="para">a n x 1 matrix of doubles, where n is number of variables, contains lower bounds of the variables.</p></dd></dt> + <dt><span class="term">UB :</span> + <dd><p class="para">a n x 1 matrix of doubles, where n is number of variables, contains upper bounds of the variables.</p></dd></dt> + <dt><span class="term">x0 :</span> + <dd><p class="para">a m x 1 matrix of doubles, where m is number of constraints, contains initial guess of variables.</p></dd></dt> + <dt><span class="term">param :</span> + <dd><p class="para">a list containing the the parameters to be set.</p></dd></dt> + <dt><span class="term">xopt :</span> + <dd><p class="para">a nx1 matrix of doubles, the computed solution of the optimization problem.</p></dd></dt> + <dt><span class="term">fopt :</span> + <dd><p class="para">a 1x1 matrix of doubles, the function value at x.</p></dd></dt> + <dt><span class="term">exitflag :</span> + <dd><p class="para">Integer identifying the reason the algorithm terminated.</p></dd></dt> + <dt><span class="term">output :</span> + <dd><p class="para">Structure containing information about the optimization.</p></dd></dt> + <dt><span class="term">lambda :</span> + <dd><p class="para">Structure containing the Lagrange multipliers at the solution x (separated by constraint type).</p></dd></dt></dl></div> + +<div class="refsection"><h3 class="title">Description</h3> + <p class="para">Search the minimum of a constrained linear quadratic optimization problem specified by : +find the minimum of f(x) such that</p> + <p class="para"><span><img src='./_LaTeX_qpipoptmat.xml_1.png' style='position:relative;top:40px;width:284px;height:88px'/></span></p> + <p class="para">We are calling IPOpt for solving the quadratic problem, IPOpt is a library written in C++. The code has been written by Andreas Wächter and Carl Laird.</p> + <p class="para"></p></div> + +<div class="refsection"><h3 class="title">Examples</h3> + <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabcomment">//Find x in R^6 such that:</span> + +<span class="scilabid">Aeq</span><span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span> +<span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilaboperator">-</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilaboperator">-</span><span class="scilabnumber">4</span><span class="scilabdefault">,</span><span class="scilabnumber">5</span><span class="scilabdefault">,</span><span class="scilabnumber">6</span><span class="scilabdefault">;</span> +<span class="scilabnumber">2</span><span class="scilabdefault">,</span><span class="scilabnumber">5</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">0</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">beq</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span> <span class="scilabnumber">2</span><span class="scilabdefault">;</span> <span class="scilabnumber">3</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">A</span><span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">2</span><span class="scilabdefault">,</span><span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span> +<span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">2</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">0</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">b</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span> <span class="scilabnumber">2.5</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">lb</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilaboperator">-</span><span class="scilabnumber">1000</span><span class="scilabdefault">;</span> <span class="scilaboperator">-</span><span class="scilabnumber">10000</span><span class="scilabdefault">;</span> <span class="scilabnumber">0</span><span class="scilabdefault">;</span> <span class="scilaboperator">-</span><span class="scilabnumber">1000</span><span class="scilabdefault">;</span> <span class="scilaboperator">-</span><span class="scilabnumber">1000</span><span class="scilabdefault">;</span> <span class="scilaboperator">-</span><span class="scilabnumber">1000</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">ub</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">10000</span><span class="scilabdefault">;</span> <span class="scilabnumber">100</span><span class="scilabdefault">;</span> <span class="scilabnumber">1.5</span><span class="scilabdefault">;</span> <span class="scilabnumber">100</span><span class="scilabdefault">;</span> <span class="scilabnumber">100</span><span class="scilabdefault">;</span> <span class="scilabnumber">1000</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">x0</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">6</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> +<span class="scilabid">param</span> <span class="scilaboperator">=</span> <a class="scilabcommand" href="scilab://list">list</a><span class="scilabopenclose">(</span><span class="scilabstring">"</span><span class="scilabstring">MaxIter</span><span class="scilabstring">"</span><span class="scilabdefault">,</span> <span class="scilabnumber">300</span><span class="scilabdefault">,</span> <span class="scilabstring">"</span><span class="scilabstring">CpuTime</span><span class="scilabstring">"</span><span class="scilabdefault">,</span> <span class="scilabnumber">100</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> +<span class="scilabcomment">//and minimize 0.5*x</span><span class="scilabcomment">'</span><span class="scilabcomment">*Q*x + p</span><span class="scilabcomment">'</span><span class="scilabcomment">*x with</span> +<span class="scilabid">f</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span> <span class="scilabnumber">2</span><span class="scilabdefault">;</span> <span class="scilabnumber">3</span><span class="scilabdefault">;</span> <span class="scilabnumber">4</span><span class="scilabdefault">;</span> <span class="scilabnumber">5</span><span class="scilabdefault">;</span> <span class="scilabnumber">6</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> <span class="scilabid">H</span><span class="scilaboperator">=</span><a class="scilabcommand" href="scilab://eye">eye</a><span class="scilabopenclose">(</span><span class="scilabnumber">6</span><span class="scilabdefault">,</span><span class="scilabnumber">6</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> +<span class="scilabopenclose">[</span><span class="scilabid">xopt</span><span class="scilabdefault">,</span><span class="scilabid">fopt</span><span class="scilabdefault">,</span><span class="scilabid">exitflag</span><span class="scilabdefault">,</span><span class="scilabid">output</span><span class="scilabdefault">,</span><span class="scilabid">lambda</span><span class="scilabopenclose">]</span><span class="scilaboperator">=</span><span class="scilabid">qpipoptmat</span><span class="scilabopenclose">(</span><span class="scilabid">H</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">A</span><span class="scilabdefault">,</span><span class="scilabid">b</span><span class="scilabdefault">,</span><span class="scilabid">Aeq</span><span class="scilabdefault">,</span><span class="scilabid">beq</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabdefault">,</span><span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabid">param</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> +<span class="scilabid">clear</span> <span class="scilabid">H</span> <span class="scilabid">f</span> <span class="scilabid">A</span> <span class="scilabid">b</span> <span class="scilabid">Aeq</span> <span class="scilabid">beq</span> <span class="scilabid">lb</span> <span class="scilabid">ub</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> + +<div class="refsection"><h3 class="title">Examples</h3> + <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabcomment">//Find the value of x that minimize following function</span> +<span class="scilabcomment">// f(x) = 0.5*x1^2 + x2^2 - x1*x2 - 2*x1 - 6*x2</span> +<span class="scilabcomment">// Subject to:</span> +<span class="scilabcomment">// x1 + x2 ≤ 2</span> +<span class="scilabcomment">// –x1 + 2x2 ≤ 2</span> +<span class="scilabcomment">// 2x1 + x2 ≤ 3</span> +<span class="scilabcomment">// 0 ≤ x1, 0 ≤ x2.</span> +<span class="scilabid">H</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">1</span> <span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span> <span class="scilaboperator">-</span><span class="scilabnumber">1</span> <span class="scilabnumber">2</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">f</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilaboperator">-</span><span class="scilabnumber">2</span><span class="scilabdefault">;</span> <span class="scilaboperator">-</span><span class="scilabnumber">6</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">A</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">1</span> <span class="scilabnumber">1</span><span class="scilabdefault">;</span> <span class="scilaboperator">-</span><span class="scilabnumber">1</span> <span class="scilabnumber">2</span><span class="scilabdefault">;</span> <span class="scilabnumber">2</span> <span class="scilabnumber">1</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">b</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">2</span><span class="scilabdefault">;</span> <span class="scilabnumber">2</span><span class="scilabdefault">;</span> <span class="scilabnumber">3</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">lb</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">0</span><span class="scilabdefault">;</span> <span class="scilabnumber">0</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">ub</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabconstants">%inf</span><span class="scilabdefault">;</span> <span class="scilabconstants">%inf</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabopenclose">[</span><span class="scilabid">xopt</span><span class="scilabdefault">,</span><span class="scilabid">fopt</span><span class="scilabdefault">,</span><span class="scilabid">exitflag</span><span class="scilabdefault">,</span><span class="scilabid">output</span><span class="scilabdefault">,</span><span class="scilabid">lambda</span><span class="scilabopenclose">]</span> <span class="scilaboperator">=</span> <span class="scilabid">qpipoptmat</span><span class="scilabopenclose">(</span><span class="scilabid">H</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">A</span><span class="scilabdefault">,</span><span class="scilabid">b</span><span class="scilabdefault">,</span><span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabopenclose">)</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> + +<div class="refsection"><h3 class="title">Authors</h3> + <ul class="itemizedlist"><li class="member">Keyur Joshi, Saikiran, Iswarya, Harpreet Singh</li></ul></div> + <br /> + + <div class="manualnavbar"> + <table width="100%"> + <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr> +<tr> + <td width="30%"> + <span class="previous"><a href="qpipopt.html"><< qpipopt</a></span> + + </td> + <td width="40%" class="center"> + <span class="top"><a href="section_19f4f1e5726c01d683e8b82be0a7e910.html">Symphony Toolbox</a></span> + + </td> + <td width="30%" class="next"> + <span class="next"><a href="symphony.html">symphony >></a></span> + + </td> + </tr></table> + <hr /> + </div> + </body> +</html> diff --git a/help/en_US/scilab_en_US_help/section_19f4f1e5726c01d683e8b82be0a7e910.html b/help/en_US/scilab_en_US_help/section_19f4f1e5726c01d683e8b82be0a7e910.html index ed07ab6..1e5e538 100644 --- a/help/en_US/scilab_en_US_help/section_19f4f1e5726c01d683e8b82be0a7e910.html +++ b/help/en_US/scilab_en_US_help/section_19f4f1e5726c01d683e8b82be0a7e910.html @@ -37,7 +37,7 @@ -<li><a href="qpipopt_mat.html" class="refentry">qpipopt_mat</a> — <span class="refentry-description">Solves a linear quadratic problem.</span></li> +<li><a href="qpipoptmat.html" class="refentry">qpipoptmat</a> — <span class="refentry-description">Solves a linear quadratic problem.</span></li> @@ -49,7 +49,7 @@ -<li><a href="symphony_mat.html" class="refentry">symphony_mat</a> — <span class="refentry-description">Solves a mixed integer linear programming constrained optimization problem in intlinprog format.</span></li> +<li><a href="symphonymat.html" class="refentry">symphonymat</a> — <span class="refentry-description">Solves a mixed integer linear programming constrained optimization problem in intlinprog format.</span></li> <li><a href="section_508f0b211d17ea6769714cc144e6b731.html" class="chapter">Symphony Native Functions</a> <ul class="list-refentry"><li><a href="sym_addConstr.html" class="refentry">sym_addConstr</a> — <span class="refentry-description">Add a new constraint</span></li> diff --git a/help/en_US/scilab_en_US_help/section_508f0b211d17ea6769714cc144e6b731.html b/help/en_US/scilab_en_US_help/section_508f0b211d17ea6769714cc144e6b731.html index 1d1b6d9..cf8c746 100644 --- a/help/en_US/scilab_en_US_help/section_508f0b211d17ea6769714cc144e6b731.html +++ b/help/en_US/scilab_en_US_help/section_508f0b211d17ea6769714cc144e6b731.html @@ -12,7 +12,7 @@ <div class="manualnavbar"> <table width="100%"><tr> <td width="30%"> - <span class="previous"><a href="symphony_mat.html"><< symphony_mat</a></span> + <span class="previous"><a href="symphonymat.html"><< symphonymat</a></span> </td> <td width="40%" class="center"> @@ -268,7 +268,7 @@ <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr> <tr> <td width="30%"> - <span class="previous"><a href="symphony_mat.html"><< symphony_mat</a></span> + <span class="previous"><a href="symphonymat.html"><< symphonymat</a></span> </td> <td width="40%" class="center"> diff --git a/help/en_US/scilab_en_US_help/symphony.html b/help/en_US/scilab_en_US_help/symphony.html index 0af9d1b..a1e3eea 100644 --- a/help/en_US/scilab_en_US_help/symphony.html +++ b/help/en_US/scilab_en_US_help/symphony.html @@ -12,7 +12,7 @@ <div class="manualnavbar"> <table width="100%"><tr> <td width="30%"> - <span class="previous"><a href="qpipopt_mat.html"><< qpipopt_mat</a></span> + <span class="previous"><a href="qpipoptmat.html"><< qpipoptmat</a></span> </td> <td width="40%" class="center"> @@ -20,7 +20,7 @@ </td> <td width="30%" class="next"> - <span class="next"><a href="symphony_mat.html">symphony_mat >></a></span> + <span class="next"><a href="symphonymat.html">symphonymat >></a></span> </td> </tr></table> @@ -102,7 +102,7 @@ find the minimum or maximum of f(x) such that</p> <span class="scilabid">xopt</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">7.25</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0.25</span> <span class="scilabnumber">3.5</span><span class="scilabopenclose">]</span> <span class="scilabid">fopt</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">8495</span><span class="scilabopenclose">]</span> <span class="scilabcomment">// Calling Symphony</span> -<span class="scilabopenclose">[</span><span class="scilabid">x</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">iter</span><span class="scilabopenclose">]</span> <span class="scilaboperator">=</span> <span class="scilabid">symphony</span><span class="scilabopenclose">(</span><span class="scilabnumber">8</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabid">c</span><span class="scilabdefault">,</span><span class="scilabid">isInt</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabdefault">,</span><span class="scilabid">conMatrix</span><span class="scilabdefault">,</span><span class="scilabid">conlb</span><span class="scilabdefault">,</span><span class="scilabid">conub</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> +<span class="scilabopenclose">[</span><span class="scilabid">x</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">status</span><span class="scilabdefault">,</span><span class="scilabid">output</span><span class="scilabopenclose">]</span> <span class="scilaboperator">=</span> <span class="scilabid">symphony</span><span class="scilabopenclose">(</span><span class="scilabnumber">8</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabid">c</span><span class="scilabdefault">,</span><span class="scilabid">isInt</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabdefault">,</span><span class="scilabid">conMatrix</span><span class="scilabdefault">,</span><span class="scilabid">conlb</span><span class="scilabdefault">,</span><span class="scilabid">conub</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> <div class="refsection"><h3 class="title">Examples</h3> <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabcomment">// An advanced case where we set some options in symphony</span> @@ -177,7 +177,7 @@ find the minimum or maximum of f(x) such that</p> <span class="scilabid">conLB</span><span class="scilaboperator">=</span><a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabid">nbCon</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> <span class="scilabcomment">// Upper Bound of constraints</span> <span class="scilabid">conUB</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">11927</span> <span class="scilabnumber">13727</span> <span class="scilabnumber">11551</span> <span class="scilabnumber">13056</span> <span class="scilabnumber">13460</span> <span class="scilabopenclose">]</span><span class="scilaboperator">'</span><span class="scilabdefault">;</span> -<span class="scilabid">options</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabstring">"</span><span class="scilabstring">time_limit</span><span class="scilabstring">"</span> <span class="scilabstring">"</span><span class="scilabstring">25</span><span class="scilabstring">"</span><span class="scilabopenclose">]</span> +<span class="scilabid">options</span> <span class="scilaboperator">=</span> <a class="scilabcommand" href="scilab://list">list</a><span class="scilabopenclose">(</span><span class="scilabstring">"</span><span class="scilabstring">time_limit</span><span class="scilabstring">"</span><span class="scilabdefault">,</span> <span class="scilabnumber">25</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> <span class="scilabcomment">// The expected solution :</span> <span class="scilabcomment">// Output variables</span> <span class="scilabid">xopt</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabspecial">..</span> @@ -186,7 +186,7 @@ find the minimum or maximum of f(x) such that</p> <span class="scilabcomment">// Optimal value</span> <span class="scilabid">fopt</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span> <span class="scilabnumber">24381</span> <span class="scilabopenclose">]</span> <span class="scilabcomment">// Calling Symphony</span> -<span class="scilabopenclose">[</span><span class="scilabid">x</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">iter</span><span class="scilabopenclose">]</span><span class="scilaboperator">=</span> <span class="scilabid">symphony</span><span class="scilabopenclose">(</span><span class="scilabid">nbVar</span><span class="scilabdefault">,</span><span class="scilabid">nbCon</span><span class="scilabdefault">,</span><span class="scilabid">p</span><span class="scilabdefault">,</span><span class="scilabid">isInt</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabdefault">,</span><span class="scilabid">conMatrix</span><span class="scilabdefault">,</span><span class="scilabid">conLB</span><span class="scilabdefault">,</span><span class="scilabid">conUB</span><span class="scilabdefault">,</span><span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabid">options</span><span class="scilabopenclose">)</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> +<span class="scilabopenclose">[</span><span class="scilabid">x</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">status</span><span class="scilabdefault">,</span><span class="scilabid">output</span><span class="scilabopenclose">]</span> <span class="scilaboperator">=</span> <span class="scilabid">symphony</span><span class="scilabopenclose">(</span><span class="scilabid">nbVar</span><span class="scilabdefault">,</span><span class="scilabid">nbCon</span><span class="scilabdefault">,</span><span class="scilabid">p</span><span class="scilabdefault">,</span><span class="scilabid">isInt</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabdefault">,</span><span class="scilabid">conMatrix</span><span class="scilabdefault">,</span><span class="scilabid">conLB</span><span class="scilabdefault">,</span><span class="scilabid">conUB</span><span class="scilabdefault">,</span><span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabid">options</span><span class="scilabopenclose">)</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> <div class="refsection"><h3 class="title">Authors</h3> <ul class="itemizedlist"><li class="member">Keyur Joshi, Saikiran, Iswarya, Harpreet Singh</li></ul></div> @@ -197,7 +197,7 @@ find the minimum or maximum of f(x) such that</p> <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr> <tr> <td width="30%"> - <span class="previous"><a href="qpipopt_mat.html"><< qpipopt_mat</a></span> + <span class="previous"><a href="qpipoptmat.html"><< qpipoptmat</a></span> </td> <td width="40%" class="center"> @@ -205,7 +205,7 @@ find the minimum or maximum of f(x) such that</p> </td> <td width="30%" class="next"> - <span class="next"><a href="symphony_mat.html">symphony_mat >></a></span> + <span class="next"><a href="symphonymat.html">symphonymat >></a></span> </td> </tr></table> diff --git a/help/en_US/scilab_en_US_help/symphonymat.html b/help/en_US/scilab_en_US_help/symphonymat.html new file mode 100644 index 0000000..23ff2c6 --- /dev/null +++ b/help/en_US/scilab_en_US_help/symphonymat.html @@ -0,0 +1,201 @@ +<html><head> + <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> + <title>symphonymat</title> + <style type="text/css" media="all"> + @import url("scilab_code.css"); + @import url("xml_code.css"); + @import url("c_code.css"); + @import url("style.css"); + </style> + </head> + <body> + <div class="manualnavbar"> + <table width="100%"><tr> + <td width="30%"> + <span class="previous"><a href="symphony.html"><< symphony</a></span> + + </td> + <td width="40%" class="center"> + <span class="top"><a href="section_19f4f1e5726c01d683e8b82be0a7e910.html">Symphony Toolbox</a></span> + + </td> + <td width="30%" class="next"> + <span class="next"><a href="section_508f0b211d17ea6769714cc144e6b731.html">Symphony Native Functions >></a></span> + + </td> + </tr></table> + <hr /> + </div> + + + + <span class="path"><a href="index.html">Symphony Toolbox</a> >> <a href="section_19f4f1e5726c01d683e8b82be0a7e910.html">Symphony Toolbox</a> > symphonymat</span> + + <br /><br /> + <div class="refnamediv"><h1 class="refname">symphonymat</h1> + <p class="refpurpose">Solves a mixed integer linear programming constrained optimization problem in intlinprog format.</p></div> + + +<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3> + <div class="synopsis"><pre><span class="default">xopt</span><span class="default"> = </span><span class="functionid">symphonymat</span><span class="default">(</span><span class="default">f</span><span class="default">,</span><span class="default">intcon</span><span class="default">,</span><span class="default">A</span><span class="default">,</span><span class="default">b</span><span class="default">)</span> +<span class="default">xopt</span><span class="default"> = </span><span class="functionid">symphonymat</span><span class="default">(</span><span class="default">f</span><span class="default">,</span><span class="default">intcon</span><span class="default">,</span><span class="default">A</span><span class="default">,</span><span class="default">b</span><span class="default">,</span><span class="default">Aeq</span><span class="default">,</span><span class="default">beq</span><span class="default">)</span> +<span class="default">xopt</span><span class="default"> = </span><span class="functionid">symphonymat</span><span class="default">(</span><span class="default">f</span><span class="default">,</span><span class="default">intcon</span><span class="default">,</span><span class="default">A</span><span class="default">,</span><span class="default">b</span><span class="default">,</span><span class="default">Aeq</span><span class="default">,</span><span class="default">beq</span><span class="default">,</span><span class="default">lb</span><span class="default">,</span><span class="default">ub</span><span class="default">)</span> +<span class="default">xopt</span><span class="default"> = </span><span class="functionid">symphonymat</span><span class="default">(</span><span class="default">f</span><span class="default">,</span><span class="default">intcon</span><span class="default">,</span><span class="default">A</span><span class="default">,</span><span class="default">b</span><span class="default">,</span><span class="default">Aeq</span><span class="default">,</span><span class="default">beq</span><span class="default">,</span><span class="default">lb</span><span class="default">,</span><span class="default">ub</span><span class="default">,</span><span class="default">options</span><span class="default">)</span> +<span class="default">[</span><span class="default">xopt</span><span class="default">,</span><span class="default">fopt</span><span class="default">,</span><span class="default">status</span><span class="default">,</span><span class="default">output</span><span class="default">] = </span><span class="functionid">symphonymat</span><span class="default">( ... )</span></pre></div></div> + +<div class="refsection"><h3 class="title">Parameters</h3> + <dl><dt><span class="term">f :</span> + <dd><p class="para">a 1xn matrix of doubles, where n is number of variables, contains coefficients of the variables in the objective</p></dd></dt> + <dt><span class="term">intcon :</span> + <dd><p class="para">Vector of integer constraints, specified as a vector of positive integers. The values in intcon indicate the components of the decision variable x that are integer-valued. intcon has values from 1 through number of variable</p></dd></dt> + <dt><span class="term">A :</span> + <dd><p class="para">Linear inequality constraint matrix, specified as a matrix of doubles. A represents the linear coefficients in the constraints A*x ≤ b. A has size M-by-N, where M is the number of constraints and N is number of variables</p></dd></dt> + <dt><span class="term">b :</span> + <dd><p class="para">Linear inequality constraint vector, specified as a vector of doubles. b represents the constant vector in the constraints A*x ≤ b. b has length M, where A is M-by-N</p></dd></dt> + <dt><span class="term">Aeq :</span> + <dd><p class="para">Linear equality constraint matrix, specified as a matrix of doubles. Aeq represents the linear coefficients in the constraints Aeq*x = beq. Aeq has size Meq-by-N, where Meq is the number of constraints and N is number of variables</p></dd></dt> + <dt><span class="term">beq :</span> + <dd><p class="para">Linear equality constraint vector, specified as a vector of doubles. beq represents the constant vector in the constraints Aeq*x = beq. beq has length Meq, where Aeq is Meq-by-N.</p></dd></dt> + <dt><span class="term">lb :</span> + <dd><p class="para">Lower bounds, specified as a vector or array of doubles. lb represents the lower bounds elementwise in lb ≤ x ≤ ub.</p></dd></dt> + <dt><span class="term">ub :</span> + <dd><p class="para">Upper bounds, specified as a vector or array of doubles. ub represents the upper bounds elementwise in lb ≤ x ≤ ub.</p></dd></dt> + <dt><span class="term">options :</span> + <dd><p class="para">a list containing the the parameters to be set.</p></dd></dt> + <dt><span class="term">xopt :</span> + <dd><p class="para">a 1xn matrix of doubles, the computed solution of the optimization problem</p></dd></dt> + <dt><span class="term">fopt :</span> + <dd><p class="para">a 1x1 matrix of doubles, the function value at x</p></dd></dt> + <dt><span class="term">output :</span> + <dd><p class="para">The output data structure contains detailed informations about the optimization process.</p></dd></dt></dl></div> + +<div class="refsection"><h3 class="title">Description</h3> + <p class="para">Search the minimum or maximum of a constrained mixed integer linear programming optimization problem specified by : +find the minimum or maximum of f(x) such that</p> + <p class="para"><span><img src='./_LaTeX_symphonymat.xml_1.png' style='position:relative;top:31px;width:293px;height:70px'/></span></p> + <p class="para">We are calling SYMPHONY written in C by gateway files for the actual computation. SYMPHONY was originally written by Ted Ralphs, Menal Guzelsoy and Ashutosh Mahajan.</p> + <p class="para"></p></div> + +<div class="refsection"><h3 class="title">Examples</h3> + <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabcomment">// Objective function</span> +<span class="scilabid">c</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">350</span><span class="scilaboperator">*</span><span class="scilabnumber">5</span><span class="scilabdefault">,</span><span class="scilabnumber">330</span><span class="scilaboperator">*</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabnumber">310</span><span class="scilaboperator">*</span><span class="scilabnumber">4</span><span class="scilabdefault">,</span><span class="scilabnumber">280</span><span class="scilaboperator">*</span><span class="scilabnumber">6</span><span class="scilabdefault">,</span><span class="scilabnumber">500</span><span class="scilabdefault">,</span><span class="scilabnumber">450</span><span class="scilabdefault">,</span><span class="scilabnumber">400</span><span class="scilabdefault">,</span><span class="scilabnumber">100</span><span class="scilabopenclose">]</span> +<span class="scilabcomment">// Lower Bound of variable</span> +<span class="scilabid">lb</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">8</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> +<span class="scilabcomment">// Upper Bound of variables</span> +<span class="scilabid">ub</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilabopenclose">)</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabconstants">%inf</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilabopenclose">)</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabcomment">// Constraint Matrix</span> +<span class="scilabid">Aeq</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">5</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilabdefault">,</span><span class="scilabnumber">6</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span> +<span class="scilabnumber">5</span><span class="scilaboperator">*</span><span class="scilabnumber">0.05</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilaboperator">*</span><span class="scilabnumber">0.04</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilaboperator">*</span><span class="scilabnumber">0.05</span><span class="scilabdefault">,</span><span class="scilabnumber">6</span><span class="scilaboperator">*</span><span class="scilabnumber">0.03</span><span class="scilabdefault">,</span><span class="scilabnumber">0.08</span><span class="scilabdefault">,</span><span class="scilabnumber">0.07</span><span class="scilabdefault">,</span><span class="scilabnumber">0.06</span><span class="scilabdefault">,</span><span class="scilabnumber">0.03</span><span class="scilabdefault">;</span> +<span class="scilabnumber">5</span><span class="scilaboperator">*</span><span class="scilabnumber">0.03</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilaboperator">*</span><span class="scilabnumber">0.03</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilaboperator">*</span><span class="scilabnumber">0.04</span><span class="scilabdefault">,</span><span class="scilabnumber">6</span><span class="scilaboperator">*</span><span class="scilabnumber">0.04</span><span class="scilabdefault">,</span><span class="scilabnumber">0.06</span><span class="scilabdefault">,</span><span class="scilabnumber">0.07</span><span class="scilabdefault">,</span><span class="scilabnumber">0.08</span><span class="scilabdefault">,</span><span class="scilabnumber">0.09</span><span class="scilabdefault">;</span><span class="scilabopenclose">]</span> +<span class="scilabid">beq</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span> <span class="scilabnumber">25</span><span class="scilabdefault">,</span> <span class="scilabnumber">1.25</span><span class="scilabdefault">,</span> <span class="scilabnumber">1.25</span><span class="scilabopenclose">]</span> +<span class="scilabid">intcon</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">1</span> <span class="scilabnumber">2</span> <span class="scilabnumber">3</span> <span class="scilabnumber">4</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabcomment">// Calling Symphony</span> +<span class="scilabopenclose">[</span><span class="scilabid">x</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">status</span><span class="scilabdefault">,</span><span class="scilabid">output</span><span class="scilabopenclose">]</span> <span class="scilaboperator">=</span> <span class="scilabid">symphonymat</span><span class="scilabopenclose">(</span><span class="scilabid">c</span><span class="scilabdefault">,</span><span class="scilabid">intcon</span><span class="scilabdefault">,</span><span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabid">Aeq</span><span class="scilabdefault">,</span><span class="scilabid">beq</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabopenclose">)</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> + +<div class="refsection"><h3 class="title">Examples</h3> + <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabcomment">// An advanced case where we set some options in symphony</span> +<span class="scilabcomment">// This problem is taken from</span> +<span class="scilabcomment">// P.C.Chu and J.E.Beasley</span> +<span class="scilabcomment">// </span><span class="scilabcomment">"</span><span class="scilabcomment">A genetic algorithm for the multidimensional knapsack problem</span><span class="scilabcomment">"</span><span class="scilabcomment">,</span> +<span class="scilabcomment">// Journal of Heuristics, vol. 4, 1998, pp63-86.</span> +<span class="scilabcomment">// The problem to be solved is:</span> +<span class="scilabcomment">// Max sum{j=1,...,n} p(j)x(j)</span> +<span class="scilabcomment">// st sum{j=1,...,n} r(i,j)x(j) </span><span class="scilabcomment"><</span><span class="scilabcomment">= b(i) i=1,...,m</span> +<span class="scilabcomment">// x(j)=0 or 1</span> +<span class="scilabcomment">// The function to be maximize i.e. P(j)</span> +<span class="scilabid">objCoef</span> <span class="scilaboperator">=</span> <span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilaboperator">*</span><span class="scilabopenclose">[</span> <span class="scilabnumber">504</span> <span class="scilabnumber">803</span> <span class="scilabnumber">667</span> <span class="scilabnumber">1103</span> <span class="scilabnumber">834</span> <span class="scilabnumber">585</span> <span class="scilabnumber">811</span> <span class="scilabnumber">856</span> <span class="scilabnumber">690</span> <span class="scilabnumber">832</span> <span class="scilabnumber">846</span> <span class="scilabnumber">813</span> <span class="scilabnumber">868</span> <span class="scilabnumber">793</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">825</span> <span class="scilabnumber">1002</span> <span class="scilabnumber">860</span> <span class="scilabnumber">615</span> <span class="scilabnumber">540</span> <span class="scilabnumber">797</span> <span class="scilabnumber">616</span> <span class="scilabnumber">660</span> <span class="scilabnumber">707</span> <span class="scilabnumber">866</span> <span class="scilabnumber">647</span> <span class="scilabnumber">746</span> <span class="scilabnumber">1006</span> <span class="scilabnumber">608</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">877</span> <span class="scilabnumber">900</span> <span class="scilabnumber">573</span> <span class="scilabnumber">788</span> <span class="scilabnumber">484</span> <span class="scilabnumber">853</span> <span class="scilabnumber">942</span> <span class="scilabnumber">630</span> <span class="scilabnumber">591</span> <span class="scilabnumber">630</span> <span class="scilabnumber">640</span> <span class="scilabnumber">1169</span> <span class="scilabnumber">932</span> <span class="scilabnumber">1034</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">957</span> <span class="scilabnumber">798</span> <span class="scilabnumber">669</span> <span class="scilabnumber">625</span> <span class="scilabnumber">467</span> <span class="scilabnumber">1051</span> <span class="scilabnumber">552</span> <span class="scilabnumber">717</span> <span class="scilabnumber">654</span> <span class="scilabnumber">388</span> <span class="scilabnumber">559</span> <span class="scilabnumber">555</span> <span class="scilabnumber">1104</span> <span class="scilabnumber">783</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">959</span> <span class="scilabnumber">668</span> <span class="scilabnumber">507</span> <span class="scilabnumber">855</span> <span class="scilabnumber">986</span> <span class="scilabnumber">831</span> <span class="scilabnumber">821</span> <span class="scilabnumber">825</span> <span class="scilabnumber">868</span> <span class="scilabnumber">852</span> <span class="scilabnumber">832</span> <span class="scilabnumber">828</span> <span class="scilabnumber">799</span> <span class="scilabnumber">686</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">510</span> <span class="scilabnumber">671</span> <span class="scilabnumber">575</span> <span class="scilabnumber">740</span> <span class="scilabnumber">510</span> <span class="scilabnumber">675</span> <span class="scilabnumber">996</span> <span class="scilabnumber">636</span> <span class="scilabnumber">826</span> <span class="scilabnumber">1022</span> <span class="scilabnumber">1140</span> <span class="scilabnumber">654</span> <span class="scilabnumber">909</span> <span class="scilabnumber">799</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">1162</span> <span class="scilabnumber">653</span> <span class="scilabnumber">814</span> <span class="scilabnumber">625</span> <span class="scilabnumber">599</span> <span class="scilabnumber">476</span> <span class="scilabnumber">767</span> <span class="scilabnumber">954</span> <span class="scilabnumber">906</span> <span class="scilabnumber">904</span> <span class="scilabnumber">649</span> <span class="scilabnumber">873</span> <span class="scilabnumber">565</span> <span class="scilabnumber">853</span> <span class="scilabnumber">1008</span> <span class="scilabnumber">632</span><span class="scilabopenclose">]</span> +<span class="scilabcomment">//Constraint Matrix</span> +<span class="scilabid">conMatrix</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span> <span class="scilabcomment">//Constraint 1</span> +<span class="scilabnumber">42</span> <span class="scilabnumber">41</span> <span class="scilabnumber">523</span> <span class="scilabnumber">215</span> <span class="scilabnumber">819</span> <span class="scilabnumber">551</span> <span class="scilabnumber">69</span> <span class="scilabnumber">193</span> <span class="scilabnumber">582</span> <span class="scilabnumber">375</span> <span class="scilabnumber">367</span> <span class="scilabnumber">478</span> <span class="scilabnumber">162</span> <span class="scilabnumber">898</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">550</span> <span class="scilabnumber">553</span> <span class="scilabnumber">298</span> <span class="scilabnumber">577</span> <span class="scilabnumber">493</span> <span class="scilabnumber">183</span> <span class="scilabnumber">260</span> <span class="scilabnumber">224</span> <span class="scilabnumber">852</span> <span class="scilabnumber">394</span> <span class="scilabnumber">958</span> <span class="scilabnumber">282</span> <span class="scilabnumber">402</span> <span class="scilabnumber">604</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">164</span> <span class="scilabnumber">308</span> <span class="scilabnumber">218</span> <span class="scilabnumber">61</span> <span class="scilabnumber">273</span> <span class="scilabnumber">772</span> <span class="scilabnumber">191</span> <span class="scilabnumber">117</span> <span class="scilabnumber">276</span> <span class="scilabnumber">877</span> <span class="scilabnumber">415</span> <span class="scilabnumber">873</span> <span class="scilabnumber">902</span> <span class="scilabnumber">465</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">320</span> <span class="scilabnumber">870</span> <span class="scilabnumber">244</span> <span class="scilabnumber">781</span> <span class="scilabnumber">86</span> <span class="scilabnumber">622</span> <span class="scilabnumber">665</span> <span class="scilabnumber">155</span> <span class="scilabnumber">680</span> <span class="scilabnumber">101</span> <span class="scilabnumber">665</span> <span class="scilabnumber">227</span> <span class="scilabnumber">597</span> <span class="scilabnumber">354</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">597</span> <span class="scilabnumber">79</span> <span class="scilabnumber">162</span> <span class="scilabnumber">998</span> <span class="scilabnumber">849</span> <span class="scilabnumber">136</span> <span class="scilabnumber">112</span> <span class="scilabnumber">751</span> <span class="scilabnumber">735</span> <span class="scilabnumber">884</span> <span class="scilabnumber">71</span> <span class="scilabnumber">449</span> <span class="scilabnumber">266</span> <span class="scilabnumber">420</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">797</span> <span class="scilabnumber">945</span> <span class="scilabnumber">746</span> <span class="scilabnumber">46</span> <span class="scilabnumber">44</span> <span class="scilabnumber">545</span> <span class="scilabnumber">882</span> <span class="scilabnumber">72</span> <span class="scilabnumber">383</span> <span class="scilabnumber">714</span> <span class="scilabnumber">987</span> <span class="scilabnumber">183</span> <span class="scilabnumber">731</span> <span class="scilabnumber">301</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">718</span> <span class="scilabnumber">91</span> <span class="scilabnumber">109</span> <span class="scilabnumber">567</span> <span class="scilabnumber">708</span> <span class="scilabnumber">507</span> <span class="scilabnumber">983</span> <span class="scilabnumber">808</span> <span class="scilabnumber">766</span> <span class="scilabnumber">615</span> <span class="scilabnumber">554</span> <span class="scilabnumber">282</span> <span class="scilabnumber">995</span> <span class="scilabnumber">946</span> <span class="scilabnumber">651</span> <span class="scilabnumber">298</span><span class="scilabdefault">;</span> +<span class="scilabcomment">//Constraint 2</span> +<span class="scilabnumber">509</span> <span class="scilabnumber">883</span> <span class="scilabnumber">229</span> <span class="scilabnumber">569</span> <span class="scilabnumber">706</span> <span class="scilabnumber">639</span> <span class="scilabnumber">114</span> <span class="scilabnumber">727</span> <span class="scilabnumber">491</span> <span class="scilabnumber">481</span> <span class="scilabnumber">681</span> <span class="scilabnumber">948</span> <span class="scilabnumber">687</span> <span class="scilabnumber">941</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">350</span> <span class="scilabnumber">253</span> <span class="scilabnumber">573</span> <span class="scilabnumber">40</span> <span class="scilabnumber">124</span> <span class="scilabnumber">384</span> <span class="scilabnumber">660</span> <span class="scilabnumber">951</span> <span class="scilabnumber">739</span> <span class="scilabnumber">329</span> <span class="scilabnumber">146</span> <span class="scilabnumber">593</span> <span class="scilabnumber">658</span> <span class="scilabnumber">816</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">638</span> <span class="scilabnumber">717</span> <span class="scilabnumber">779</span> <span class="scilabnumber">289</span> <span class="scilabnumber">430</span> <span class="scilabnumber">851</span> <span class="scilabnumber">937</span> <span class="scilabnumber">289</span> <span class="scilabnumber">159</span> <span class="scilabnumber">260</span> <span class="scilabnumber">930</span> <span class="scilabnumber">248</span> <span class="scilabnumber">656</span> <span class="scilabnumber">833</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">892</span> <span class="scilabnumber">60</span> <span class="scilabnumber">278</span> <span class="scilabnumber">741</span> <span class="scilabnumber">297</span> <span class="scilabnumber">967</span> <span class="scilabnumber">86</span> <span class="scilabnumber">249</span> <span class="scilabnumber">354</span> <span class="scilabnumber">614</span> <span class="scilabnumber">836</span> <span class="scilabnumber">290</span> <span class="scilabnumber">893</span> <span class="scilabnumber">857</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">158</span> <span class="scilabnumber">869</span> <span class="scilabnumber">206</span> <span class="scilabnumber">504</span> <span class="scilabnumber">799</span> <span class="scilabnumber">758</span> <span class="scilabnumber">431</span> <span class="scilabnumber">580</span> <span class="scilabnumber">780</span> <span class="scilabnumber">788</span> <span class="scilabnumber">583</span> <span class="scilabnumber">641</span> <span class="scilabnumber">32</span> <span class="scilabnumber">653</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">252</span> <span class="scilabnumber">709</span> <span class="scilabnumber">129</span> <span class="scilabnumber">368</span> <span class="scilabnumber">440</span> <span class="scilabnumber">314</span> <span class="scilabnumber">287</span> <span class="scilabnumber">854</span> <span class="scilabnumber">460</span> <span class="scilabnumber">594</span> <span class="scilabnumber">512</span> <span class="scilabnumber">239</span> <span class="scilabnumber">719</span> <span class="scilabnumber">751</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">708</span> <span class="scilabnumber">670</span> <span class="scilabnumber">269</span> <span class="scilabnumber">832</span> <span class="scilabnumber">137</span> <span class="scilabnumber">356</span> <span class="scilabnumber">960</span> <span class="scilabnumber">651</span> <span class="scilabnumber">398</span> <span class="scilabnumber">893</span> <span class="scilabnumber">407</span> <span class="scilabnumber">477</span> <span class="scilabnumber">552</span> <span class="scilabnumber">805</span> <span class="scilabnumber">881</span> <span class="scilabnumber">850</span><span class="scilabdefault">;</span> +<span class="scilabcomment">//Constraint 3</span> +<span class="scilabnumber">806</span> <span class="scilabnumber">361</span> <span class="scilabnumber">199</span> <span class="scilabnumber">781</span> <span class="scilabnumber">596</span> <span class="scilabnumber">669</span> <span class="scilabnumber">957</span> <span class="scilabnumber">358</span> <span class="scilabnumber">259</span> <span class="scilabnumber">888</span> <span class="scilabnumber">319</span> <span class="scilabnumber">751</span> <span class="scilabnumber">275</span> <span class="scilabnumber">177</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">883</span> <span class="scilabnumber">749</span> <span class="scilabnumber">229</span> <span class="scilabnumber">265</span> <span class="scilabnumber">282</span> <span class="scilabnumber">694</span> <span class="scilabnumber">819</span> <span class="scilabnumber">77</span> <span class="scilabnumber">190</span> <span class="scilabnumber">551</span> <span class="scilabnumber">140</span> <span class="scilabnumber">442</span> <span class="scilabnumber">867</span> <span class="scilabnumber">283</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">137</span> <span class="scilabnumber">359</span> <span class="scilabnumber">445</span> <span class="scilabnumber">58</span> <span class="scilabnumber">440</span> <span class="scilabnumber">192</span> <span class="scilabnumber">485</span> <span class="scilabnumber">744</span> <span class="scilabnumber">844</span> <span class="scilabnumber">969</span> <span class="scilabnumber">50</span> <span class="scilabnumber">833</span> <span class="scilabnumber">57</span> <span class="scilabnumber">877</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">482</span> <span class="scilabnumber">732</span> <span class="scilabnumber">968</span> <span class="scilabnumber">113</span> <span class="scilabnumber">486</span> <span class="scilabnumber">710</span> <span class="scilabnumber">439</span> <span class="scilabnumber">747</span> <span class="scilabnumber">174</span> <span class="scilabnumber">260</span> <span class="scilabnumber">877</span> <span class="scilabnumber">474</span> <span class="scilabnumber">841</span> <span class="scilabnumber">422</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">280</span> <span class="scilabnumber">684</span> <span class="scilabnumber">330</span> <span class="scilabnumber">910</span> <span class="scilabnumber">791</span> <span class="scilabnumber">322</span> <span class="scilabnumber">404</span> <span class="scilabnumber">403</span> <span class="scilabnumber">519</span> <span class="scilabnumber">148</span> <span class="scilabnumber">948</span> <span class="scilabnumber">414</span> <span class="scilabnumber">894</span> <span class="scilabnumber">147</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">73</span> <span class="scilabnumber">297</span> <span class="scilabnumber">97</span> <span class="scilabnumber">651</span> <span class="scilabnumber">380</span> <span class="scilabnumber">67</span> <span class="scilabnumber">582</span> <span class="scilabnumber">973</span> <span class="scilabnumber">143</span> <span class="scilabnumber">732</span> <span class="scilabnumber">624</span> <span class="scilabnumber">518</span> <span class="scilabnumber">847</span> <span class="scilabnumber">113</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">382</span> <span class="scilabnumber">97</span> <span class="scilabnumber">905</span> <span class="scilabnumber">398</span> <span class="scilabnumber">859</span> <span class="scilabnumber">4</span> <span class="scilabnumber">142</span> <span class="scilabnumber">110</span> <span class="scilabnumber">11</span> <span class="scilabnumber">213</span> <span class="scilabnumber">398</span> <span class="scilabnumber">173</span> <span class="scilabnumber">106</span> <span class="scilabnumber">331</span> <span class="scilabnumber">254</span> <span class="scilabnumber">447</span> <span class="scilabdefault">;</span> +<span class="scilabcomment">//Constraint 4</span> +<span class="scilabnumber">404</span> <span class="scilabnumber">197</span> <span class="scilabnumber">817</span> <span class="scilabnumber">1000</span> <span class="scilabnumber">44</span> <span class="scilabnumber">307</span> <span class="scilabnumber">39</span> <span class="scilabnumber">659</span> <span class="scilabnumber">46</span> <span class="scilabnumber">334</span> <span class="scilabnumber">448</span> <span class="scilabnumber">599</span> <span class="scilabnumber">931</span> <span class="scilabnumber">776</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">263</span> <span class="scilabnumber">980</span> <span class="scilabnumber">807</span> <span class="scilabnumber">378</span> <span class="scilabnumber">278</span> <span class="scilabnumber">841</span> <span class="scilabnumber">700</span> <span class="scilabnumber">210</span> <span class="scilabnumber">542</span> <span class="scilabnumber">636</span> <span class="scilabnumber">388</span> <span class="scilabnumber">129</span> <span class="scilabnumber">203</span> <span class="scilabnumber">110</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">817</span> <span class="scilabnumber">502</span> <span class="scilabnumber">657</span> <span class="scilabnumber">804</span> <span class="scilabnumber">662</span> <span class="scilabnumber">989</span> <span class="scilabnumber">585</span> <span class="scilabnumber">645</span> <span class="scilabnumber">113</span> <span class="scilabnumber">436</span> <span class="scilabnumber">610</span> <span class="scilabnumber">948</span> <span class="scilabnumber">919</span> <span class="scilabnumber">115</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">967</span> <span class="scilabnumber">13</span> <span class="scilabnumber">445</span> <span class="scilabnumber">449</span> <span class="scilabnumber">740</span> <span class="scilabnumber">592</span> <span class="scilabnumber">327</span> <span class="scilabnumber">167</span> <span class="scilabnumber">368</span> <span class="scilabnumber">335</span> <span class="scilabnumber">179</span> <span class="scilabnumber">909</span> <span class="scilabnumber">825</span> <span class="scilabnumber">614</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">987</span> <span class="scilabnumber">350</span> <span class="scilabnumber">179</span> <span class="scilabnumber">415</span> <span class="scilabnumber">821</span> <span class="scilabnumber">525</span> <span class="scilabnumber">774</span> <span class="scilabnumber">283</span> <span class="scilabnumber">427</span> <span class="scilabnumber">275</span> <span class="scilabnumber">659</span> <span class="scilabnumber">392</span> <span class="scilabnumber">73</span> <span class="scilabnumber">896</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">68</span> <span class="scilabnumber">982</span> <span class="scilabnumber">697</span> <span class="scilabnumber">421</span> <span class="scilabnumber">246</span> <span class="scilabnumber">672</span> <span class="scilabnumber">649</span> <span class="scilabnumber">731</span> <span class="scilabnumber">191</span> <span class="scilabnumber">514</span> <span class="scilabnumber">983</span> <span class="scilabnumber">886</span> <span class="scilabnumber">95</span> <span class="scilabnumber">846</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">689</span> <span class="scilabnumber">206</span> <span class="scilabnumber">417</span> <span class="scilabnumber">14</span> <span class="scilabnumber">735</span> <span class="scilabnumber">267</span> <span class="scilabnumber">822</span> <span class="scilabnumber">977</span> <span class="scilabnumber">302</span> <span class="scilabnumber">687</span> <span class="scilabnumber">118</span> <span class="scilabnumber">990</span> <span class="scilabnumber">323</span> <span class="scilabnumber">993</span> <span class="scilabnumber">525</span> <span class="scilabnumber">322</span><span class="scilabdefault">;</span> +<span class="scilabcomment">//Constrain 5</span> +<span class="scilabnumber">475</span> <span class="scilabnumber">36</span> <span class="scilabnumber">287</span> <span class="scilabnumber">577</span> <span class="scilabnumber">45</span> <span class="scilabnumber">700</span> <span class="scilabnumber">803</span> <span class="scilabnumber">654</span> <span class="scilabnumber">196</span> <span class="scilabnumber">844</span> <span class="scilabnumber">657</span> <span class="scilabnumber">387</span> <span class="scilabnumber">518</span> <span class="scilabnumber">143</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">515</span> <span class="scilabnumber">335</span> <span class="scilabnumber">942</span> <span class="scilabnumber">701</span> <span class="scilabnumber">332</span> <span class="scilabnumber">803</span> <span class="scilabnumber">265</span> <span class="scilabnumber">922</span> <span class="scilabnumber">908</span> <span class="scilabnumber">139</span> <span class="scilabnumber">995</span> <span class="scilabnumber">845</span> <span class="scilabnumber">487</span> <span class="scilabnumber">100</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">447</span> <span class="scilabnumber">653</span> <span class="scilabnumber">649</span> <span class="scilabnumber">738</span> <span class="scilabnumber">424</span> <span class="scilabnumber">475</span> <span class="scilabnumber">425</span> <span class="scilabnumber">926</span> <span class="scilabnumber">795</span> <span class="scilabnumber">47</span> <span class="scilabnumber">136</span> <span class="scilabnumber">801</span> <span class="scilabnumber">904</span> <span class="scilabnumber">740</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">768</span> <span class="scilabnumber">460</span> <span class="scilabnumber">76</span> <span class="scilabnumber">660</span> <span class="scilabnumber">500</span> <span class="scilabnumber">915</span> <span class="scilabnumber">897</span> <span class="scilabnumber">25</span> <span class="scilabnumber">716</span> <span class="scilabnumber">557</span> <span class="scilabnumber">72</span> <span class="scilabnumber">696</span> <span class="scilabnumber">653</span> <span class="scilabnumber">933</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">420</span> <span class="scilabnumber">582</span> <span class="scilabnumber">810</span> <span class="scilabnumber">861</span> <span class="scilabnumber">758</span> <span class="scilabnumber">647</span> <span class="scilabnumber">237</span> <span class="scilabnumber">631</span> <span class="scilabnumber">271</span> <span class="scilabnumber">91</span> <span class="scilabnumber">75</span> <span class="scilabnumber">756</span> <span class="scilabnumber">409</span> <span class="scilabnumber">440</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">483</span> <span class="scilabnumber">336</span> <span class="scilabnumber">765</span> <span class="scilabnumber">637</span> <span class="scilabnumber">981</span> <span class="scilabnumber">980</span> <span class="scilabnumber">202</span> <span class="scilabnumber">35</span> <span class="scilabnumber">594</span> <span class="scilabnumber">689</span> <span class="scilabnumber">602</span> <span class="scilabnumber">76</span> <span class="scilabnumber">767</span> <span class="scilabnumber">693</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">893</span> <span class="scilabnumber">160</span> <span class="scilabnumber">785</span> <span class="scilabnumber">311</span> <span class="scilabnumber">417</span> <span class="scilabnumber">748</span> <span class="scilabnumber">375</span> <span class="scilabnumber">362</span> <span class="scilabnumber">617</span> <span class="scilabnumber">553</span> <span class="scilabnumber">474</span> <span class="scilabnumber">915</span> <span class="scilabnumber">457</span> <span class="scilabnumber">261</span> <span class="scilabnumber">350</span> <span class="scilabnumber">635</span> <span class="scilabdefault">;</span> +<span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabid">nbVar</span> <span class="scilaboperator">=</span> <a class="scilabcommand" href="scilab://size">size</a><span class="scilabopenclose">(</span><span class="scilabid">objCoef</span><span class="scilabdefault">,</span><span class="scilabnumber">2</span><span class="scilabopenclose">)</span> +<span class="scilabid">conUB</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">11927</span> <span class="scilabnumber">13727</span> <span class="scilabnumber">11551</span> <span class="scilabnumber">13056</span> <span class="scilabnumber">13460</span> <span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabcomment">// Lower Bound of variables</span> +<span class="scilabid">lb</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabid">nbVar</span><span class="scilabopenclose">)</span> +<span class="scilabcomment">// Upper Bound of variables</span> +<span class="scilabid">ub</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabid">nbVar</span><span class="scilabopenclose">)</span> +<span class="scilabcomment">// Lower Bound of constrains</span> +<span class="scilabid">intcon</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabopenclose">]</span> +<span class="scilabskeyword">for</span> <span class="scilabid">i</span> <span class="scilaboperator">=</span> <span class="scilabnumber">1</span><span class="scilabspecial">:</span><span class="scilabid">nbVar</span> +<span class="scilabid">intcon</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabid">intcon</span> <span class="scilabid">i</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> +<span class="scilabskeyword">end</span> +<span class="scilabid">options</span> <span class="scilaboperator">=</span> <a class="scilabcommand" href="scilab://list">list</a><span class="scilabopenclose">(</span><span class="scilabstring">"</span><span class="scilabstring">time_limit</span><span class="scilabstring">"</span><span class="scilabdefault">,</span> <span class="scilabnumber">25</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span> +<span class="scilabcomment">// The expected solution :</span> +<span class="scilabcomment">// Output variables</span> +<span class="scilabid">xopt</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabspecial">..</span> +<span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span><span class="scilabopenclose">]</span> +<span class="scilabcomment">// Optimal value</span> +<span class="scilabid">fopt</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span> <span class="scilabnumber">24381</span> <span class="scilabopenclose">]</span> +<span class="scilabcomment">// Calling Symphony</span> +<span class="scilabopenclose">[</span><span class="scilabid">x</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">status</span><span class="scilabdefault">,</span><span class="scilabid">output</span><span class="scilabopenclose">]</span> <span class="scilaboperator">=</span> <span class="scilabid">symphonymat</span><span class="scilabopenclose">(</span><span class="scilabid">objCoef</span><span class="scilabdefault">,</span><span class="scilabid">intcon</span><span class="scilabdefault">,</span><span class="scilabid">conMatrix</span><span class="scilabdefault">,</span><span class="scilabid">conUB</span><span class="scilabdefault">,</span><span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabdefault">,</span><span class="scilabid">options</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> + +<div class="refsection"><h3 class="title">Authors</h3> + <ul class="itemizedlist"><li class="member">Keyur Joshi, Saikiran, Iswarya, Harpreet Singh</li></ul></div> + <br /> + + <div class="manualnavbar"> + <table width="100%"> + <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr> +<tr> + <td width="30%"> + <span class="previous"><a href="symphony.html"><< symphony</a></span> + + </td> + <td width="40%" class="center"> + <span class="top"><a href="section_19f4f1e5726c01d683e8b82be0a7e910.html">Symphony Toolbox</a></span> + + </td> + <td width="30%" class="next"> + <span class="next"><a href="section_508f0b211d17ea6769714cc144e6b731.html">Symphony Native Functions >></a></span> + + </td> + </tr></table> + <hr /> + </div> + </body> +</html> diff --git a/help/en_US/symphony.xml b/help/en_US/symphony.xml index 86ad4b7..c33b95c 100644 --- a/help/en_US/symphony.xml +++ b/help/en_US/symphony.xml @@ -114,7 +114,8 @@ isInt = [repmat(%t,1,4) repmat(%f,1,4)]; xopt = [1 1 0 1 7.25 0 0.25 3.5] fopt = [8495] // Calling Symphony -[x,f,iter] = symphony(8,3,c,isInt,lb,ub,conMatrix,conlb,conub,1); +[x,f,status,output] = symphony(8,3,c,isInt,lb,ub,conMatrix,conlb,conub,1) + ]]></programlisting> </refsection> @@ -193,7 +194,7 @@ isInt = repmat(%t,1,nbVar) conLB=repmat(0,nbCon,1); // Upper Bound of constraints conUB=[11927 13727 11551 13056 13460 ]'; -options = ["time_limit" "25"] +options = list("time_limit", 25); // The expected solution : // Output variables xopt = [0 1 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 1 0 1 .. @@ -202,7 +203,7 @@ xopt = [0 1 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 1 0 1 .. // Optimal value fopt = [ 24381 ] // Calling Symphony -[x,f,iter]= symphony(nbVar,nbCon,p,isInt,lb,ub,conMatrix,conLB,conUB,-1,options) +[x,f,status,output] = symphony(nbVar,nbCon,p,isInt,lb,ub,conMatrix,conLB,conUB,-1,options) ]]></programlisting> </refsection> diff --git a/help/en_US/symphonymat.xml b/help/en_US/symphonymat.xml new file mode 100644 index 0000000..ca56363 --- /dev/null +++ b/help/en_US/symphonymat.xml @@ -0,0 +1,203 @@ +<?xml version="1.0" encoding="UTF-8"?> + +<!-- + * + * This help file was generated from symphonymat.sci using help_from_sci(). + * + --> + +<refentry version="5.0-subset Scilab" xml:id="symphonymat" xml:lang="en" + xmlns="http://docbook.org/ns/docbook" + xmlns:xlink="http://www.w3.org/1999/xlink" + xmlns:svg="http://www.w3.org/2000/svg" + xmlns:ns3="http://www.w3.org/1999/xhtml" + xmlns:mml="http://www.w3.org/1998/Math/MathML" + xmlns:scilab="http://www.scilab.org" + xmlns:db="http://docbook.org/ns/docbook"> + + <refnamediv> + <refname>symphonymat</refname> + <refpurpose>Solves a mixed integer linear programming constrained optimization problem in intlinprog format.</refpurpose> + </refnamediv> + + +<refsynopsisdiv> + <title>Calling Sequence</title> + <synopsis> + xopt = symphonymat(f,intcon,A,b) + xopt = symphonymat(f,intcon,A,b,Aeq,beq) + xopt = symphonymat(f,intcon,A,b,Aeq,beq,lb,ub) + xopt = symphonymat(f,intcon,A,b,Aeq,beq,lb,ub,options) + [xopt,fopt,status,output] = symphonymat( ... ) + + </synopsis> +</refsynopsisdiv> + +<refsection> + <title>Parameters</title> + <variablelist> + <varlistentry><term>f :</term> + <listitem><para> a 1xn matrix of doubles, where n is number of variables, contains coefficients of the variables in the objective</para></listitem></varlistentry> + <varlistentry><term>intcon :</term> + <listitem><para> Vector of integer constraints, specified as a vector of positive integers. The values in intcon indicate the components of the decision variable x that are integer-valued. intcon has values from 1 through number of variable</para></listitem></varlistentry> + <varlistentry><term>A :</term> + <listitem><para> Linear inequality constraint matrix, specified as a matrix of doubles. A represents the linear coefficients in the constraints A*x ≤ b. A has size M-by-N, where M is the number of constraints and N is number of variables</para></listitem></varlistentry> + <varlistentry><term>b :</term> + <listitem><para> Linear inequality constraint vector, specified as a vector of doubles. b represents the constant vector in the constraints A*x ≤ b. b has length M, where A is M-by-N</para></listitem></varlistentry> + <varlistentry><term>Aeq :</term> + <listitem><para> Linear equality constraint matrix, specified as a matrix of doubles. Aeq represents the linear coefficients in the constraints Aeq*x = beq. Aeq has size Meq-by-N, where Meq is the number of constraints and N is number of variables</para></listitem></varlistentry> + <varlistentry><term>beq :</term> + <listitem><para> Linear equality constraint vector, specified as a vector of doubles. beq represents the constant vector in the constraints Aeq*x = beq. beq has length Meq, where Aeq is Meq-by-N.</para></listitem></varlistentry> + <varlistentry><term>lb :</term> + <listitem><para> Lower bounds, specified as a vector or array of doubles. lb represents the lower bounds elementwise in lb ≤ x ≤ ub.</para></listitem></varlistentry> + <varlistentry><term>ub :</term> + <listitem><para> Upper bounds, specified as a vector or array of doubles. ub represents the upper bounds elementwise in lb ≤ x ≤ ub.</para></listitem></varlistentry> + <varlistentry><term>options :</term> + <listitem><para> a list containing the the parameters to be set.</para></listitem></varlistentry> + <varlistentry><term>xopt :</term> + <listitem><para> a 1xn matrix of doubles, the computed solution of the optimization problem</para></listitem></varlistentry> + <varlistentry><term>fopt :</term> + <listitem><para> a 1x1 matrix of doubles, the function value at x</para></listitem></varlistentry> + <varlistentry><term>output :</term> + <listitem><para> The output data structure contains detailed informations about the optimization process.</para></listitem></varlistentry> + </variablelist> +</refsection> + +<refsection> + <title>Description</title> + <para> +Search the minimum or maximum of a constrained mixed integer linear programming optimization problem specified by : +find the minimum or maximum of f(x) such that + </para> + <para> +<latex> +\begin{eqnarray} +&\mbox{min}_{x} +& f(x) \\ +& \text{subject to} & conLB \leq C(x) \leq conUB \\ +& & lb \leq x \leq ub \\ +\end{eqnarray} +</latex> + </para> + <para> +We are calling SYMPHONY written in C by gateway files for the actual computation. SYMPHONY was originally written by Ted Ralphs, Menal Guzelsoy and Ashutosh Mahajan. + </para> + <para> +</para> +</refsection> + +<refsection> + <title>Examples</title> + <programlisting role="example"><![CDATA[ +// Objective function +c = [350*5,330*3,310*4,280*6,500,450,400,100] +// Lower Bound of variable +lb = repmat(0,1,8); +// Upper Bound of variables +ub = [repmat(1,1,4) repmat(%inf,1,4)]; +// Constraint Matrix +Aeq = [5,3,4,6,1,1,1,1; +5*0.05,3*0.04,4*0.05,6*0.03,0.08,0.07,0.06,0.03; +5*0.03,3*0.03,4*0.04,6*0.04,0.06,0.07,0.08,0.09;] +beq = [ 25, 1.25, 1.25] +intcon = [1 2 3 4]; +// Calling Symphony +[x,f,status,output] = symphonymat(c,intcon,[],[],Aeq,beq,lb,ub) + + ]]></programlisting> +</refsection> + +<refsection> + <title>Examples</title> + <programlisting role="example"><![CDATA[ +// An advanced case where we set some options in symphony +// This problem is taken from +// P.C.Chu and J.E.Beasley +// "A genetic algorithm for the multidimensional knapsack problem", +// Journal of Heuristics, vol. 4, 1998, pp63-86. +// The problem to be solved is: +// Max sum{j=1,...,n} p(j)x(j) +// st sum{j=1,...,n} r(i,j)x(j) <= b(i) i=1,...,m +// x(j)=0 or 1 +// The function to be maximize i.e. P(j) +objCoef = -1*[ 504 803 667 1103 834 585 811 856 690 832 846 813 868 793 .. +825 1002 860 615 540 797 616 660 707 866 647 746 1006 608 .. +877 900 573 788 484 853 942 630 591 630 640 1169 932 1034 .. +957 798 669 625 467 1051 552 717 654 388 559 555 1104 783 .. +959 668 507 855 986 831 821 825 868 852 832 828 799 686 .. +510 671 575 740 510 675 996 636 826 1022 1140 654 909 799 .. +1162 653 814 625 599 476 767 954 906 904 649 873 565 853 1008 632] +//Constraint Matrix +conMatrix = [ //Constraint 1 +42 41 523 215 819 551 69 193 582 375 367 478 162 898 .. +550 553 298 577 493 183 260 224 852 394 958 282 402 604 .. +164 308 218 61 273 772 191 117 276 877 415 873 902 465 .. +320 870 244 781 86 622 665 155 680 101 665 227 597 354 .. +597 79 162 998 849 136 112 751 735 884 71 449 266 420 .. +797 945 746 46 44 545 882 72 383 714 987 183 731 301 .. +718 91 109 567 708 507 983 808 766 615 554 282 995 946 651 298; +//Constraint 2 +509 883 229 569 706 639 114 727 491 481 681 948 687 941 .. +350 253 573 40 124 384 660 951 739 329 146 593 658 816 .. +638 717 779 289 430 851 937 289 159 260 930 248 656 833 .. +892 60 278 741 297 967 86 249 354 614 836 290 893 857 .. +158 869 206 504 799 758 431 580 780 788 583 641 32 653 .. +252 709 129 368 440 314 287 854 460 594 512 239 719 751 .. +708 670 269 832 137 356 960 651 398 893 407 477 552 805 881 850; +//Constraint 3 +806 361 199 781 596 669 957 358 259 888 319 751 275 177 .. +883 749 229 265 282 694 819 77 190 551 140 442 867 283 .. +137 359 445 58 440 192 485 744 844 969 50 833 57 877 .. +482 732 968 113 486 710 439 747 174 260 877 474 841 422 .. +280 684 330 910 791 322 404 403 519 148 948 414 894 147 .. +73 297 97 651 380 67 582 973 143 732 624 518 847 113 .. +382 97 905 398 859 4 142 110 11 213 398 173 106 331 254 447 ; +//Constraint 4 +404 197 817 1000 44 307 39 659 46 334 448 599 931 776 .. +263 980 807 378 278 841 700 210 542 636 388 129 203 110 .. +817 502 657 804 662 989 585 645 113 436 610 948 919 115 .. +967 13 445 449 740 592 327 167 368 335 179 909 825 614 .. +987 350 179 415 821 525 774 283 427 275 659 392 73 896 .. +68 982 697 421 246 672 649 731 191 514 983 886 95 846 .. +689 206 417 14 735 267 822 977 302 687 118 990 323 993 525 322; +//Constrain 5 +475 36 287 577 45 700 803 654 196 844 657 387 518 143 .. +515 335 942 701 332 803 265 922 908 139 995 845 487 100 .. +447 653 649 738 424 475 425 926 795 47 136 801 904 740 .. +768 460 76 660 500 915 897 25 716 557 72 696 653 933 .. +420 582 810 861 758 647 237 631 271 91 75 756 409 440 .. +483 336 765 637 981 980 202 35 594 689 602 76 767 693 .. +893 160 785 311 417 748 375 362 617 553 474 915 457 261 350 635 ; +]; +nbVar = size(objCoef,2) +conUB=[11927 13727 11551 13056 13460 ]; +// Lower Bound of variables +lb = repmat(0,1,nbVar) +// Upper Bound of variables +ub = repmat(1,1,nbVar) +// Lower Bound of constrains +intcon = [] +for i = 1:nbVar +intcon = [intcon i]; +end +options = list("time_limit", 25); +// The expected solution : +// Output variables +xopt = [0 1 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 1 0 1 .. +0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 1 .. +0 0 1 0 0 1 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 1 0 0 1 0 0 1 0] +// Optimal value +fopt = [ 24381 ] +// Calling Symphony +[x,f,status,output] = symphonymat(objCoef,intcon,conMatrix,conUB,[],[],lb,ub,options); + + ]]></programlisting> +</refsection> + +<refsection> + <title>Authors</title> + <simplelist type="vert"> + <member>Keyur Joshi, Saikiran, Iswarya, Harpreet Singh</member> + </simplelist> +</refsection> +</refentry> |
