Examples of MaxEval

org.apache.commons.math3.optim.MaxEval
Maximum number of evaluations of the function to be optimized. @since 3.1

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

    public void testTrivial() {
        LinearProblem problem
            = new LinearProblem(new double[][] { { 2 } }, new double[] { 3 });
        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum =
            optimizer.optimize(new MaxEval(100),
                               problem.getModelFunction(),
                               problem.getModelFunctionJacobian(),
                               problem.getTarget(),
                               new Weight(new double[] { 1 }),
                               new InitialGuess(new double[] { 0 }));

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

            = new LinearProblem(new double[][] { { 1, -1 }, { 0, 2 }, { 1, -2 } },
                                new double[] { 4, 6, 1 });


        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum =
            optimizer.optimize(new MaxEval(100),
                               problem.getModelFunction(),
                               problem.getModelFunctionJacobian(),
                               problem.getTarget(),
                               new Weight(new double[] { 1, 1, 1 }),
                               new InitialGuess(new double[] { 0, 0 }));

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

                { 0, 0, 0, 0, 2, 0 },
                { 0, 0, 0, 0, 0, 2 }
        }, new double[] { 0, 1.1, 2.2, 3.3, 4.4, 5.5 });
        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum =
            optimizer.optimize(new MaxEval(100),
                               problem.getModelFunction(),
                               problem.getModelFunctionJacobian(),
                               problem.getTarget(),
                               new Weight(new double[] { 1, 1, 1, 1, 1, 1 }),
                               new InitialGuess(new double[] { 0, 0, 0, 0, 0, 0 }));

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

                { -1,  1, 0 },
                {  0, -1, 1 }
        }, new double[] { 1, 1, 1});
        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum =
            optimizer.optimize(new MaxEval(100),
                               problem.getModelFunction(),
                               problem.getModelFunctionJacobian(),
                               problem.getTarget(),
                               new Weight(new double[] { 1, 1, 1 }),
                               new InitialGuess(new double[] { 0, 0, 0 }));

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

                {  0,  0,   0,  0,       1, 1 }
        }, new double[] { 2, -9, 2, 2, 1 + epsilon * epsilon, 2});


        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum =
            optimizer.optimize(new MaxEval(100),
                               problem.getModelFunction(),
                               problem.getModelFunctionJacobian(),
                               problem.getTarget(),
                               new Weight(new double[] { 1, 1, 1, 1, 1, 1 }),
                               new InitialGuess(new double[] { 0, 0, 0, 0, 0, 0 }));

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

                { -3, 0, -9 }
        }, new double[] { 1, 1, 1 });


        AbstractLeastSquaresOptimizer optimizer = createOptimizer();


        optimizer.optimize(new MaxEval(100),
                           problem.getModelFunction(),
                           problem.getModelFunctionJacobian(),
                           problem.getTarget(),
                           new Weight(new double[] { 1, 1, 1 }),
                           new InitialGuess(new double[] { 0, 0, 0 }));

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

                {  8, 6, 10,  9 },
                {  7, 5,  9, 10 }
        }, new double[] { 32, 23, 33, 31 });
        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum1 =
            optimizer.optimize(new MaxEval(100),
                               problem1.getModelFunction(),
                               problem1.getModelFunctionJacobian(),
                               problem1.getTarget(),
                               new Weight(new double[] { 1, 1, 1, 1 }),
                               new InitialGuess(new double[] { 0, 1, 2, 3 }));
        Assert.assertEquals(0, optimizer.getRMS(), 1e-10);
        Assert.assertEquals(1, optimum1.getPoint()[0], 1e-10);
        Assert.assertEquals(1, optimum1.getPoint()[1], 1e-10);
        Assert.assertEquals(1, optimum1.getPoint()[2], 1e-10);
        Assert.assertEquals(1, optimum1.getPoint()[3], 1e-10);


        LinearProblem problem2 = new LinearProblem(new double[][] {
                { 10.00, 7.00, 8.10, 7.20 },
                {  7.08, 5.04, 6.00, 5.00 },
                {  8.00, 5.98, 9.89, 9.00 },
                {  6.99, 4.99, 9.00, 9.98 }
        }, new double[] { 32, 23, 33, 31 });
        PointVectorValuePair optimum2 =
            optimizer.optimize(new MaxEval(100),
                               problem2.getModelFunction(),
                               problem2.getModelFunctionJacobian(),
                               problem2.getTarget(), 
                               new Weight(new double[] { 1, 1, 1, 1 }),
                               new InitialGuess(new double[] { 0, 1, 2, 3 }));

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

                { 0, 1, -1, 1 },
                { 2, 0,  1, 0 }
        }, new double[] { 7, 3, 5 });


        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        optimizer.optimize(new MaxEval(100),
                           problem.getModelFunction(),
                           problem.getModelFunctionJacobian(),
                           problem.getTarget(),
                           new Weight(new double[] { 1, 1, 1 }),
                           new InitialGuess(new double[] { 7, 6, 5, 4 }));

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

                { 0, 0,  0, -1, 1,  0 }
       }, new double[] { 3, 12, -1, 7, 1 });


        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum =
            optimizer.optimize(new MaxEval(100),
                               problem.getModelFunction(),
                               problem.getModelFunctionJacobian(),
                               problem.getTarget(),
                               new Weight(new double[] { 1, 1, 1, 1, 1 }),
                               new InitialGuess(new double[] { 2, 2, 2, 2, 2, 2 }));

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

                { 1,  3 }
        }, new double[] { 3, 1, 5 });


        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum =
            optimizer.optimize(new MaxEval(100),
                               problem.getModelFunction(),
                               problem.getModelFunctionJacobian(),
                               problem.getTarget(),
                               new Weight(new double[] { 1, 1, 1 }),
                               new InitialGuess(new double[] { 1, 1 }));

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