Example usage for org.apache.commons.math.optimization.linear LinearConstraint LinearConstraint

Introduction

In this page you can find the example usage for org.apache.commons.math.optimization.linear LinearConstraint LinearConstraint.

Prototype

public LinearConstraint(final RealVector lhsCoefficients, final double lhsConstant,
        final Relationship relationship, final RealVector rhsCoefficients, final double rhsConstant) 

Source Link

Document

Build a constraint involving two linear equations.

Usage

From source file:fi.smaa.libror.UTAGMSSolver.java

private List<LinearConstraint> buildMonotonousConstraints(int critIndex) {
    List<LinearConstraint> constList = new ArrayList<LinearConstraint>();
    RealVector levels = model.getPerfMatrix().getLevels()[critIndex];
    for (int i = 0; i < levels.getDimension() - 1; i++) {
        double[] lhs = new double[getNrLPVariables()];
        double[] rhs = new double[getNrLPVariables()];
        lhs[getConstraintOffset(critIndex) + i] = 1.0;
        rhs[getConstraintOffset(critIndex) + i + 1] = 1.0;
        if (strictValueFunctions) {
            lhs[lhs.length - 1] = 1.0; // epsilon
        }/*from   w ww .  j a v  a2 s . c o m*/
        constList.add(new LinearConstraint(lhs, 0.0, Relationship.LEQ, rhs, 0.0));
    }
    return constList;
}

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From source file:fi.smaa.libror.UTAGMSSolver.java

/**
 * a is strictly preferred to b (v(a) >= v(b) + epsilon)
 * @param a/*from  www  . j  a va2  s  .  co  m*/
 * @param b
 * @return
 */
private LinearConstraint buildStrictlyPreferredConstraint(int a, int b) {
    double[] lhsVars = new double[getNrLPVariables()];
    double[] rhsVars = new double[getNrLPVariables()];
    setVarsPositive(lhsVars, a);
    setVarsPositive(rhsVars, b);
    // set epsilon
    rhsVars[rhsVars.length - 1] = 1.0;
    return new LinearConstraint(lhsVars, 0.0, Relationship.GEQ, rhsVars, 0.0);
}

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From source file:fi.smaa.libror.UTAGMSSolver.java

private LinearConstraint buildWeaklyPreferredConstraint(int a, int b) {
    double[] lhsVars = new double[getNrLPVariables()];
    double[] rhsVars = new double[getNrLPVariables()];
    setVarsPositive(lhsVars, a);//from   w w w  .j a v  a 2  s  . com
    setVarsPositive(rhsVars, b);
    return new LinearConstraint(lhsVars, 0.0, Relationship.GEQ, rhsVars, 0.0);
}

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