Package org.apache.commons.math.optimization

Examples of org.apache.commons.math.optimization.VectorialPointValuePair

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        LinearProblem problem =
            new LinearProblem(new double[][] { { 2 } }, new double[] { 3 });
        GaussNewtonOptimizer optimizer = new GaussNewtonOptimizer(true);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));
        VectorialPointValuePair optimum =
            optimizer.optimize(problem, problem.target, new double[] { 1 }, new double[] { 0 });
        assertEquals(0, optimizer.getRMS(), 1.0e-10);
        assertEquals(1.5, optimum.getPoint()[0], 1.0e-10);
        assertEquals(3.0, optimum.getValue()[0], 1.0e-10);
    }
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                              new double[] { 4.0, 6.0, 1.0 });

        GaussNewtonOptimizer optimizer = new GaussNewtonOptimizer(true);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));
        VectorialPointValuePair optimum =
            optimizer.optimize(problem, problem.target, new double[] { 1, 1, 1 }, new double[] { 0, 0 });
        assertEquals(0, optimizer.getRMS(), 1.0e-10);
        assertEquals(7.0, optimum.getPoint()[0], 1.0e-10);
        assertEquals(3.0, optimum.getPoint()[1], 1.0e-10);
        assertEquals(4.0, optimum.getValue()[0], 1.0e-10);
        assertEquals(6.0, optimum.getValue()[1], 1.0e-10);
        assertEquals(1.0, optimum.getValue()[2], 1.0e-10);

    }
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                { 0, 0, 0, 0, 0, 2 }
        }, new double[] { 0.0, 1.1, 2.2, 3.3, 4.4, 5.5 });
        GaussNewtonOptimizer optimizer = new GaussNewtonOptimizer(true);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));
        VectorialPointValuePair optimum =
            optimizer.optimize(problem, problem.target, new double[] { 1, 1, 1, 1, 1, 1 },
                               new double[] { 0, 0, 0, 0, 0, 0 });
        assertEquals(0, optimizer.getRMS(), 1.0e-10);
        for (int i = 0; i < problem.target.length; ++i) {
            assertEquals(0.55 * i, optimum.getPoint()[i], 1.0e-10);
        }
    }
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                {  0, -1, 1 }
        }, new double[] { 1, 1, 1});
        GaussNewtonOptimizer optimizer = new GaussNewtonOptimizer(true);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));
        VectorialPointValuePair optimum =
            optimizer.optimize(problem, problem.target, new double[] { 1, 1, 1 }, new double[] { 0, 0, 0 });
        assertEquals(0, optimizer.getRMS(), 1.0e-10);
        assertEquals(1.0, optimum.getPoint()[0], 1.0e-10);
        assertEquals(2.0, optimum.getPoint()[1], 1.0e-10);
        assertEquals(3.0, optimum.getPoint()[2], 1.0e-10);

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

        GaussNewtonOptimizer optimizer = new GaussNewtonOptimizer(true);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));
        VectorialPointValuePair optimum =
            optimizer.optimize(problem, problem.target, new double[] { 1, 1, 1, 1, 1, 1 },
                               new double[] { 0, 0, 0, 0, 0, 0 });
        assertEquals(0, optimizer.getRMS(), 1.0e-10);
        assertEquals( 3.0, optimum.getPoint()[0], 1.0e-10);
        assertEquals( 4.0, optimum.getPoint()[1], 1.0e-10);
        assertEquals(-1.0, optimum.getPoint()[2], 1.0e-10);
        assertEquals(-2.0, optimum.getPoint()[3], 1.0e-10);
        assertEquals( 1.0 + epsilon, optimum.getPoint()[4], 1.0e-10);
        assertEquals( 1.0 - epsilon, optimum.getPoint()[5], 1.0e-10);

    }
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                {  7.0, 5.0,  9.0, 10.0 }
        }, new double[] { 32, 23, 33, 31 });
        GaussNewtonOptimizer optimizer = new GaussNewtonOptimizer(true);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));
        VectorialPointValuePair optimum1 =
            optimizer.optimize(problem1, problem1.target, new double[] { 1, 1, 1, 1 },
                               new double[] { 0, 1, 2, 3 });
        assertEquals(0, optimizer.getRMS(), 1.0e-10);
        assertEquals(1.0, optimum1.getPoint()[0], 1.0e-10);
        assertEquals(1.0, optimum1.getPoint()[1], 1.0e-10);
        assertEquals(1.0, optimum1.getPoint()[2], 1.0e-10);
        assertEquals(1.0, optimum1.getPoint()[3], 1.0e-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 });
        VectorialPointValuePair optimum2 =
            optimizer.optimize(problem2, problem2.target, new double[] { 1, 1, 1, 1 },
                               new double[] { 0, 1, 2, 3 });
        assertEquals(0, optimizer.getRMS(), 1.0e-10);
        assertEquals(-81.0, optimum2.getPoint()[0], 1.0e-8);
        assertEquals(137.0, optimum2.getPoint()[1], 1.0e-8);
        assertEquals(-34.0, optimum2.getPoint()[2], 1.0e-8);
        assertEquals( 22.0, optimum2.getPoint()[3], 1.0e-8);

    }
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        }, new double[] { 3.0, 1.0, 5.0 });

        GaussNewtonOptimizer optimizer = new GaussNewtonOptimizer(true);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));
        VectorialPointValuePair optimum =
            optimizer.optimize(problem, problem.target, new double[] { 1, 1, 1 },
                               new double[] { 1, 1 });
        assertEquals(0, optimizer.getRMS(), 1.0e-10);
        assertEquals(2.0, optimum.getPoint()[0], 1.0e-8);
        assertEquals(1.0, optimum.getPoint()[1], 1.0e-8);

    }
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            new LinearProblem(new double[][] { { 1, 0 }, { 0, 1 } }, new double[] { -1, 1 });
        GaussNewtonOptimizer optimizer = new GaussNewtonOptimizer(true);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));

        VectorialPointValuePair optimum =
            optimizer.optimize(problem, problem.target, new double[] { 1, 1 }, new double[] { 0, 0 });
        assertEquals(0, optimizer.getRMS(), 1.0e-10);
        assertEquals(-1, optimum.getPoint()[0], 1.0e-10);
        assertEquals(+1, optimum.getPoint()[1], 1.0e-10);

        try {
            optimizer.optimize(problem, problem.target,
                               new double[] { 1 },
                               new double[] { 0, 0 });
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        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        GaussNewtonOptimizer optimizer = new GaussNewtonOptimizer(true);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-13, 1.0e-13));
        VectorialPointValuePair optimum =
            optimizer.optimize(circle, new double[] { 0, 0, 0, 0, 0 },
                               new double[] { 1, 1, 1, 1, 1 },
                               new double[] { 98.680, 47.345 });
        assertEquals(1.768262623567235,  Math.sqrt(circle.getN()) * optimizer.getRMS(),  1.0e-10);
        Point2D.Double center = new Point2D.Double(optimum.getPointRef()[0], optimum.getPointRef()[1]);
        assertEquals(69.96016175359975, circle.getRadius(center), 1.0e-10);
        assertEquals(96.07590209601095, center.x, 1.0e-10);
        assertEquals(48.135167894714,   center.y, 1.0e-10);
    }
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            // expected behavior
        } catch (Exception e) {
            fail("wrong exception type caught");
        }

        VectorialPointValuePair optimum =
            optimizer.optimize(circle, target, weights, new double[] { 0, 0 });
        assertEquals(-0.1517383071957963, optimum.getPointRef()[0], 1.0e-8);
        assertEquals(0.2074999736353867,  optimum.getPointRef()[1], 1.0e-8);
        assertEquals(0.04268731682389561, optimizer.getRMS(),       1.0e-8);

    }
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Related Classes of org.apache.commons.math.optimization.VectorialPointValuePair

  • newExamples.archive.Exoplanet
  • newExamples.FittingRun
  • org.apache.commons.math.optimization.fitting.CurveFitter
  • org.apache.commons.math.optimization.general.GaussNewtonOptimizer
  • org.apache.commons.math.optimization.general.GaussNewtonOptimizerTest
  • org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
  • org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizerTest
  • org.apache.commons.math.optimization.general.MinpackTest
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