Examples of MaxEval

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

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                { 1, -1 },
                { 1,  3 }
        }, new double[] { 3, 1, 4 });

        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[] { 1, 1 }));
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Examples of org.apache.commons.math3.optim.MaxEval

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        LinearProblem problem
            = new LinearProblem(new double[][] { { 1, 0 }, { 0, 1 } },
                                new double[] { -1, 1 });
        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum =
            optimizer.optimize(new MaxEval(100),
                               problem.getModelFunction(),
                               problem.getModelFunctionJacobian(),
                               problem.getTarget(),
                               new Weight(new double[] { 1, 1 }),
                               new InitialGuess(new double[] { 0, 0 }));
        Assert.assertEquals(0, optimizer.getRMS(), 1e-10);
        Assert.assertEquals(-1, optimum.getPoint()[0], 1e-10);
        Assert.assertEquals(1, optimum.getPoint()[1], 1e-10);

        optimizer.optimize(new MaxEval(100),
                           problem.getModelFunction(),
                           problem.getModelFunctionJacobian(),
                           problem.getTarget(),
                           new Weight(new double[] { 1 }),
                           new InitialGuess(new double[] { 0, 0 }));
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Examples of org.apache.commons.math3.optim.MaxEval

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        LinearProblem problem
            = new LinearProblem(new double[][] { { 1, 0 }, { 0, 1 } },
                                new double[] { -1, 1 });
        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 problem.getModelFunction(),
                                 problem.getModelFunctionJacobian(),
                                 problem.getTarget(),
                                 new Weight(new double[] { 1, 1 }),
                                 new InitialGuess(new double[] { 0, 0 }));
        Assert.assertEquals(0, optimizer.getRMS(), 1e-10);
        Assert.assertEquals(-1, optimum.getPoint()[0], 1e-10);
        Assert.assertEquals(1, optimum.getPoint()[1], 1e-10);

        optimizer.optimize(new MaxEval(100),
                           problem.getModelFunction(),
                           problem.getModelFunctionJacobian(),
                           new Target(new double[] { 1 }),
                           new Weight(new double[] { 1 }),
                           new InitialGuess(new double[] { 0, 0 }));
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Examples of org.apache.commons.math3.optim.MaxEval

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        circle.addPoint(110, -20);
        circle.addPoint( 35,  15);
        circle.addPoint( 45,  97);
        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 circle.getModelFunction(),
                                 circle.getModelFunctionJacobian(),
                                 new Target(new double[] { 0, 0, 0, 0, 0 }),
                                 new Weight(new double[] { 1, 1, 1, 1, 1 }),
                                 new InitialGuess(new double[] { 98.680, 47.345 }));
        Assert.assertTrue(optimizer.getEvaluations() < 10);
        double rms = optimizer.getRMS();
        Assert.assertEquals(1.768262623567235,  FastMath.sqrt(circle.getN()) * rms,  1e-10);
        Vector2D center = new Vector2D(optimum.getPointRef()[0], optimum.getPointRef()[1]);
        Assert.assertEquals(69.96016176931406, circle.getRadius(center), 1e-6);
        Assert.assertEquals(96.07590211815305, center.getX(),            1e-6);
        Assert.assertEquals(48.13516790438953, center.getY(),            1e-6);
        double[][] cov = optimizer.computeCovariances(optimum.getPoint(), 1e-14);
        Assert.assertEquals(1.839, cov[0][0], 0.001);
        Assert.assertEquals(0.731, cov[0][1], 0.001);
        Assert.assertEquals(cov[0][1], cov[1][0], 1e-14);
        Assert.assertEquals(0.786, cov[1][1], 0.001);

        // add perfect measurements and check errors are reduced
        double  r = circle.getRadius(center);
        for (double d= 0; d < 2 * FastMath.PI; d += 0.01) {
            circle.addPoint(center.getX() + r * FastMath.cos(d), center.getY() + r * FastMath.sin(d));
        }
        double[] target = new double[circle.getN()];
        Arrays.fill(target, 0);
        double[] weights = new double[circle.getN()];
        Arrays.fill(weights, 2);
        optimum = optimizer.optimize(new MaxEval(100),
                                     circle.getModelFunction(),
                                     circle.getModelFunctionJacobian(),
                                     new Target(target),
                                     new Weight(weights),
                                     new InitialGuess(new double[] { 98.680, 47.345 }));
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Examples of org.apache.commons.math3.optim.MaxEval

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        for (int i = 0; i < points.length; ++i) {
            circle.addPoint(points[i][0], points[i][1]);
        }
        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 circle.getModelFunction(),
                                 circle.getModelFunctionJacobian(),
                                 new Target(target),
                                 new Weight(weights),
                                 new InitialGuess(new double[] { -12, -12 }));
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Examples of org.apache.commons.math3.optim.MaxEval

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        for (int i = 0; i < points.length; ++i) {
            circle.addPoint(points[i][0], points[i][1]);
        }
        AbstractLeastSquaresOptimizer optimizer = createOptimizer();
        PointVectorValuePair optimum =
            optimizer.optimize(new MaxEval(100),
                               circle.getModelFunction(),
                               circle.getModelFunctionJacobian(),
                               new Target(target),
                               new Weight(weights),
                               new InitialGuess(new double[] { 0, 0 }));
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Examples of org.apache.commons.math3.optim.MaxEval

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        final double[][] data = dataset.getData();
        final double[] initial = dataset.getStartingPoint(0);
        final StatisticalReferenceDataset.LeastSquaresProblem problem = dataset.getLeastSquaresProblem();
        final PointVectorValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 problem.getModelFunction(),
                                 problem.getModelFunctionJacobian(),
                                 new Target(data[1]),
                                 new Weight(w),
                                 new InitialGuess(initial));
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Examples of org.apache.commons.math3.optim.MaxEval

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            final double[] regress = problem.solve();

            // Estimation of the standard deviation (diagonal elements of the
            // covariance matrix).
            final PointVectorValuePair optimum
                = optim.optimize(new MaxEval(Integer.MAX_VALUE),
                                 problem.getModelFunction(),
                                 problem.getModelFunctionJacobian(),
                                 new Target(problem.target()),
                                 new Weight(problem.weight()),
                                 new InitialGuess(init));
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Examples of org.apache.commons.math3.optim.MaxEval

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                            StraightLineProblem problem,
                            double[] params) {
        final double[] t = problem.target();
        final double[] w = problem.weight();

        optim.optimize(new MaxEval(Integer.MAX_VALUE),
                       problem.getModelFunction(),
                       problem.getModelFunctionJacobian(),
                       new Target(t),
                       new Weight(w),
                       new InitialGuess(params));
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Examples of org.apache.commons.math3.optim.MaxEval

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            = new LinearProblem(new double[][] { { 2 } }, new double[] { 3 });
        NonLinearConjugateGradientOptimizer optimizer
            = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
                                                      new SimpleValueChecker(1e-6, 1e-6),
                                                      1e-3, 1e-3, 1);
        optimizer.optimize(new MaxEval(100),
                           problem.getObjectiveFunction(),
                           problem.getObjectiveFunctionGradient(),
                           GoalType.MINIMIZE,
                           new InitialGuess(new double[] { 0 }),
                           new SimpleBounds(new double[] { -1 },
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