Details
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Bug
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Status: Closed
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Major
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Resolution: Fixed
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2.0
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None
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None
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java 1.6 on Windows XP 32-Bit
Description
Hi all,
This bug is somehow related to incident MATH-286, but not necessarily...
Let's say I have an LP and I solve it using SimplexSolver. Then I create a second LP similar to the first one, but with "stronger" constraints. The second LP has the following properties:
- the only point in the feasible region for the second LP is the solution returned for the first LP
- the solution returned for the first LP is also the (only possible) solution to the second LP
This shows the problem:
LinearObjectiveFunction f = new LinearObjectiveFunction(new double[] { 0.8, 0.2, 0.7, 0.3, 0.4, 0.6}, 0 ); Collection<LinearConstraint> constraints = new ArrayList<LinearConstraint>(); constraints.add(new LinearConstraint(new double[] { 1, 0, 1, 0, 1, 0 }, Relationship.EQ, 30.0)); constraints.add(new LinearConstraint(new double[] { 0, 1, 0, 1, 0, 1 }, Relationship.EQ, 30.0)); constraints.add(new LinearConstraint(new double[] { 0.8, 0.2, 0.0, 0.0, 0.0, 0.0 }, Relationship.GEQ, 10.0)); constraints.add(new LinearConstraint(new double[] { 0.0, 0.0, 0.7, 0.3, 0.0, 0.0 }, Relationship.GEQ, 10.0)); constraints.add(new LinearConstraint(new double[] { 0.0, 0.0, 0.0, 0.0, 0.4, 0.6 }, Relationship.GEQ, 10.0)); RealPointValuePair solution = new SimplexSolver().optimize(f, constraints, GoalType.MAXIMIZE, true); double valA = 0.8 * solution.getPoint()[0] + 0.2 * solution.getPoint()[1]; double valB = 0.7 * solution.getPoint()[2] + 0.3 * solution.getPoint()[3]; double valC = 0.4 * solution.getPoint()[4] + 0.6 * solution.getPoint()[5]; f = new LinearObjectiveFunction(new double[] { 0.8, 0.2, 0.7, 0.3, 0.4, 0.6}, 0 ); constraints = new ArrayList<LinearConstraint>(); constraints.add(new LinearConstraint(new double[] { 1, 0, 1, 0, 1, 0 }, Relationship.EQ, 30.0)); constraints.add(new LinearConstraint(new double[] { 0, 1, 0, 1, 0, 1 }, Relationship.EQ, 30.0)); constraints.add(new LinearConstraint(new double[] { 0.8, 0.2, 0.0, 0.0, 0.0, 0.0 }, Relationship.GEQ, valA)); constraints.add(new LinearConstraint(new double[] { 0.0, 0.0, 0.7, 0.3, 0.0, 0.0 }, Relationship.GEQ, valB)); constraints.add(new LinearConstraint(new double[] { 0.0, 0.0, 0.0, 0.0, 0.4, 0.6 }, Relationship.GEQ, valC)); solution = new SimplexSolver().optimize(f, constraints, GoalType.MAXIMIZE, true);
Instead of returning the solution, SimplexSolver throws an Exception:
Exception in thread "main" org.apache.commons.math.linear.MatrixIndexException: no entry at indices (0, 7) in a 6x7 matrix at org.apache.commons.math.linear.Array2DRowRealMatrix.getEntry(Array2DRowRealMatrix.java:356) at org.apache.commons.math.optimization.linear.SimplexTableau.getEntry(SimplexTableau.java:408) at org.apache.commons.math.optimization.linear.SimplexTableau.getBasicRow(SimplexTableau.java:258) at org.apache.commons.math.optimization.linear.SimplexTableau.getSolution(SimplexTableau.java:336) at org.apache.commons.math.optimization.linear.SimplexSolver.doOptimize(SimplexSolver.java:182) at org.apache.commons.math.optimization.linear.AbstractLinearOptimizer.optimize(AbstractLinearOptimizer.java:106)
I was too optimistic with the bug MATH-286