/* (non-Javadoc)
* @see com.tufiestapesta.champagnador.ilp.lpsolve.LinearModelSolver#solveModel()
*/
@Override
public void solveModel() {
try {
lpModel.solve();
double[] var = lpModel.getPtrVariables();
for (int i = 0; i < var.length; i++) {
System.out.println("Value of var[" + i + "] = " + var[i]);
linearModel.addResult(
new Result(linearModel.getOrderedVariables().get(i), BigDecimal.valueOf(var[i])));
}
} catch (LpSolveException e) {
e.printStackTrace();
throw new RuntimeException("Unable to solve LpSolve linear model.", e);
}
}
private double[] getFunctionalAsArray(Functional f) {
int varCount = linearModel.getOrderedVariables().size();
double[] coefs = new double[varCount];
for (int i = 0; i < varCount; i++) {
Variable v = linearModel.getOrderedVariables().get(i);
BigDecimal term = f.getTermFor(v);
double coef;
if (term != null) {
coef = term.doubleValue();
} else {
coef = BigDecimal.ZERO.doubleValue();
}
coefs[i] = coef;
}
return coefs;
}
private LpSolve mapModel() {
try {
lpModel =
LpSolve.makeLp(linearModel.getRestrictions().size(), linearModel.getVariables().size());
lpModel.setObjFn(getFunctionalAsArray(linearModel.getFunctional()));
// Goal.MAXIMIZE => true, Goal.MINIMIZE => false
lpModel.setSense(Goal.MAXIMIZE == linearModel.getFunctional().getGoal());
for (Restriction r : linearModel.getRestrictions()) {
lpModel.addConstraint(
getCoeficientsArray(r), getLpCondition(r.getCondition()), getConstant(r));
}
return lpModel;
} catch (LpSolveException e) {
e.printStackTrace();
throw new RuntimeException("Unable to build LpSolve linear model.", e);
}
}
