Examples of MaxIter

org.apache.commons.math3.optim.MaxIter
Maximum number of iterations performed by an (iterative) algorithm. @since 3.1

Examples of org.apache.commons.math3.optim.MaxIter

        double[] objFunctionCoeff = new double[33];
        objFunctionCoeff[3] = 1;
        LinearObjectiveFunction f = new LinearObjectiveFunction(objFunctionCoeff, 0);
        SimplexSolver solver = new SimplexSolver(1e-4, 10, 1e-6);
        
        PointValuePair solution = solver.optimize(new MaxIter(1000), f, new LinearConstraintSet(constraints),
                                                  GoalType.MINIMIZE, new NonNegativeConstraint(true));
        Assert.assertEquals(0.3752298, solution.getValue(), 1e-4);
    }

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Examples of org.apache.commons.math3.optim.MaxIter

        
        Assert.assertNull(callback.getSolution());
        Assert.assertFalse(callback.isSolutionOptimal());


        try {
            solver.optimize(new MaxIter(3), f, new LinearConstraintSet(constraints),
                            GoalType.MAXIMIZE, new NonNegativeConstraint(true), callback);
            Assert.fail("expected TooManyIterationsException");
        } catch (TooManyIterationsException ex) {
            // expected
        }

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Examples of org.apache.commons.math3.optim.MaxIter

        double[] objFunctionCoeff = new double[33];
        objFunctionCoeff[3] = 1;
        LinearObjectiveFunction f = new LinearObjectiveFunction(objFunctionCoeff, 0);
        SimplexSolver solver = new SimplexSolver(1e-4, 10, 1e-6);
        
        PointValuePair solution = solver.optimize(new MaxIter(1000), f, new LinearConstraintSet(constraints),
                                                  GoalType.MINIMIZE, new NonNegativeConstraint(true));
        Assert.assertEquals(0.3752298, solution.getValue(), 1e-4);
    }

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Examples of org.apache.commons.math3.optim.MaxIter

        double[] objFunctionCoeff = new double[33];
        objFunctionCoeff[3] = 1;
        LinearObjectiveFunction f = new LinearObjectiveFunction(objFunctionCoeff, 0);
        SimplexSolver solver = new SimplexSolver(1e-4, 10, 1e-6);
        
        PointValuePair solution = solver.optimize(new MaxIter(1000), f, new LinearConstraintSet(constraints),
                                                  GoalType.MINIMIZE, new NonNegativeConstraint(true));
        Assert.assertEquals(0.3752298, solution.getValue(), 1e-4);
    }

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