Examples of org.apache.commons.math.optimization.linear.LinearObjectiveFunction

Package org.apache.commons.math.optimization.linear

Examples of org.apache.commons.math.optimization.linear.LinearObjectiveFunction

org.apache.commons.math.optimization.linear.LinearObjectiveFunction
An objective function for a linear optimization problem.
A linear objective function has one the form:
```
 c₁x₁ + ... c_nx_n + d 
```
The c_i and d are the coefficients of the equation, the x_i are the coordinates of the current point.
@version $Revision: 922713 $ $Date: 2010-03-14 02:26:13 +0100 (dim. 14 mars 2010) $ @since 2.0


  private static LinearObjectiveFunction 
    convertLinObjFun(IConstructor c) {
    double[] coefficients =  convertRealList(LLObjectiveFun_llObjFun_coefficients(c));
    double constant =  LLObjectiveFun_llObjFun_const(c);
    return new LinearObjectiveFunction(coefficients, constant);
  }

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    ArrayList<LinearConstraint> constraintsJ =
        new ArrayList<LinearConstraint>(constraints.size());
    for(IValue v : constraints ){
      constraintsJ.add(convertConstraint((IConstructor)v));
    }
    LinearObjectiveFunction fJ = convertLinObjFun(f);
    GoalType goal = minimize.getValue() ? 
            GoalType.MINIMIZE : GoalType.MAXIMIZE;
    IValueFactory vf = values;
    boolean nonNegativeJ =  nonNegative.getValue();
    try {

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Related Classes of org.apache.commons.math.optimization.linear.LinearObjectiveFunction

org.apache.commons.math.linear.ArrayRealVector

org.rascalmpl.library.analysis.linearprogramming.LinearProgramming

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