我有一个很大的LP问题,看起来像这样:
max z = c^T * x
s.t. A*x <= b
and Aeq * x = beq在编写约束之后,代码看起来像这样:
import org.apache.commons.math3.optim.linear.LinearConstraint;
import org.apache.commons.math3.optim.linear.Relationship;
import org.apache.commons.math3.exception.TooManyIterationsException;
import org.apache.commons.math3.optim.OptimizationData;
import org.apache.commons.math3.optim.PointValuePair;
import org.apache.commons.math3.optim.linear.LinearConstraintSet;
import org.apache.commons.math3.optim.linear.LinearObjectiveFunction;
import org.apache.commons.math3.optim.linear.NoFeasibleSolutionException;
import org.apache.commons.math3.optim.linear.NonNegativeConstraint;
import org.apache.commons.math3.optim.linear.SimplexSolver;
import org.apache.commons.math3.optim.linear.UnboundedSolutionException;
import org.apache.commons.math3.optim.nonlinear.scalar.GoalType;
LinearObjectiveFunction objective = new LinearObjectiveFunction(objectiveCoefficients, 0);
SimplexSolver solver = new SimplexSolver(epsilon, maxUlps, cutOff);
LinearConstraintSet constraintSet = new LinearConstraintSet(constraints);
NonNegativeConstraint nonnegative = new NonNegativeConstraint(true);
GoalType maximization = GoalType.MAXIMIZE;
OptimizationData[] optData = new OptimizationData[]{maximization, objective, constraintSet, nonnegative};
try{
PointValuePair solution = solver.optimize(optData);
}catch ...工作得很好。然而,如果不单独解决对偶问题,我就无法获得对偶问题的值,即我的约束的影子价格。
有没有可能用org.apache.commons.math3.optim同时得到我的原始问题的x值和约束的影子价格
提前进行Thx
发布于 2019-01-11 00:17:55
它不返回duals。您可能可以从最终的画面中检索它们,但这可能需要一些管道。
值得注意的是,除了最小的LP问题外,这不是一个很好的解算器。这不是一个严肃的算法,而是完整的tableau单纯形方法的教科书第一章实现。对于较大的问题不推荐使用。
https://stackoverflow.com/questions/54128506
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