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<?xml version="1.0" encoding="UTF-8"?>
<refentry version="5.0-subset Scilab" xml:id="sym_loadProblem" xml:lang="en"
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<refnamediv>
<refname>sym_loadProblem</refname>
<refpurpose>Load a problem into Symphony</refpurpose>
</refnamediv>
<refsynopsisdiv>
<title>Calling Sequence</title>
<synopsis>sym_loadProblem(nbVar,nbConstr,varLB,varUB,objCoeff,isInt,objSense,conMatrix,conLB,conUB)</synopsis>
</refsynopsisdiv>
<refsection>
<title>Description</title>
<para>Loads a MIP problem into Symphony. All the necessary data can be given through a single function call.</para>
<para>The type of constraint is automatically deduced from the constraint bounds.</para>
</refsection>
<refsection>
<title>Arguments</title>
<variablelist>
<varlistentry>
<term>nbVar</term>
<listitem><para>Number of variables</para></listitem>
</varlistentry>
<varlistentry>
<term>nbConstr</term>
<listitem><para>Number of constraints</para></listitem>
</varlistentry>
<varlistentry>
<term>varLB</term>
<listitem><para>Matrix containing lower bounds of the variables (must have size 1 row and nbVar columns). Bound can be negative infinity</para></listitem>
</varlistentry>
<varlistentry>
<term>varUB</term>
<listitem><para>Matrix containing upper bounds of the variables (must have size 1 row and nbVar columns). Bound can be infinity</para></listitem>
</varlistentry>
<varlistentry>
<term>objCoeff</term>
<listitem><para>Matrix containing coefficients of the variables in the objective (must have size 1 row and nbVar columns)</para></listitem>
</varlistentry>
<varlistentry>
<term>isInt</term>
<listitem><para>Boolean matrix representing wether a variable is constrained to be an integer (must have size 1 row and nbVar columns)</para></listitem>
</varlistentry>
<varlistentry>
<term>objSense</term>
<listitem><para>The sense (maximization/minimization) of the objective. Use sym_minimize or sym_maximize here</para></listitem>
</varlistentry>
<varlistentry>
<term>conMatrix</term>
<listitem><para>Sparse matrix representing the constraint matrix (must have size nbConstr rows and nbVar columns)</para></listitem>
</varlistentry>
<varlistentry>
<term>conLB</term>
<listitem><para>Matrix containing lower bounds of the constraints (must have size nbConstr rows and 1 column)</para></listitem>
</varlistentry>
<varlistentry>
<term>conUB</term>
<listitem><para>Matrix containing upper bounds of the constraints (must have size nbConstr rows and 1 column)</para></listitem>
</varlistentry>
</variablelist>
</refsection>
<refsection>
<title>Return value</title>
<para>Returns 0 if the problem was successfully loaded into Symphony</para>
</refsection>
<refsection>
<title>Examples</title>
<programlisting role="example">sym_loadProblem(2,2,[0,0],[%inf,%inf],[1,1],[%t,%t],sym_maximize,sparse([1,2;2,1]),[0;0],[7;6.5])</programlisting>
</refsection>
<refsection>
<title>Authors</title>
<simplelist type="vert">
<member>Keyur Joshi</member>
</simplelist>
</refsection>
</refentry>
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