Package org.apache.commons.math3.distribution

Examples of org.apache.commons.math3.distribution.UniformRealDistribution

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                assertTrue( Precision.equals( expected, actual ) );
            }
        }

        final RandomGenerator rng = new Well19937c( 1234567L ); // "tol" depends on the seed.
        final UniformRealDistribution distX =
            new UniformRealDistribution( rng, xValues[0], xValues[xValues.length - 1] );
        final UniformRealDistribution distY =
            new UniformRealDistribution( rng, yValues[0], yValues[yValues.length - 1] );

        double sumError = 0;
        for ( int i = 0; i < numberOfSamples; i++ )
        {
            currentX = distX.sample();
            currentY = distY.sample();
            expected = f.value( currentX, currentY );
            actual = interpolation.value( currentX, currentY );
            sumError += FastMath.abs( actual - expected );
            assertEquals( expected, actual, maxTolerance );
    }
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        BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
        BivariateFunction p = interpolator.interpolate(xval, yval, zval);
        double x, y;

        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);

        final int numSamples = 50;
        final double tol = 6;
        for (int i = 0; i < numSamples; i++) {
            x = distX.sample();
            for (int j = 0; j < numSamples; j++) {
                y = distY.sample();
//                 System.out.println(x + " " + y + " " + f.value(x, y) + " " + p.value(x, y));
                Assert.assertEquals(f.value(x, y),  p.value(x, y), tol);
            }
//             System.out.println();
        }
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        BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
        BivariateFunction p = interpolator.interpolate(xval, yval, zval);
        double x, y;

        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);

        final int numSamples = 50;
        final double tol = 251;
        for (int i = 0; i < numSamples; i++) {
            x = distX.sample();
            for (int j = 0; j < numSamples; j++) {
                y = distY.sample();
//                 System.out.println(x + " " + y + " " + f.value(x, y) + " " + p.value(x, y));
                Assert.assertEquals(f.value(x, y),  p.value(x, y), tol);
            }
//             System.out.println();
        }
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        // Create two rings lying in xy-plane.
        final UnitSphereRandomVectorGenerator unit
            = new UnitSphereRandomVectorGenerator(2);

        final RealDistribution radius1
            = new UniformRealDistribution(radiusRing1 - halfWidthRing1,
                                          radiusRing1 + halfWidthRing1);
        final RealDistribution widthRing1
            = new UniformRealDistribution(-halfWidthRing1, halfWidthRing1);

        for (int i = 0; i < numPointsRing1; i++) {
            final double[] v = unit.nextVector();
            final double r = radius1.sample();
            // First ring is in the xy-plane, centered at (0, 0, 0).
            firstRing[i] = new Vector3D(v[0] * r,
                                        v[1] * r,
                                        widthRing1.sample());
        }

        final RealDistribution radius2
            = new UniformRealDistribution(radiusRing2 - halfWidthRing2,
                                          radiusRing2 + halfWidthRing2);
        final RealDistribution widthRing2
            = new UniformRealDistribution(-halfWidthRing2, halfWidthRing2);

        for (int i = 0; i < numPointsRing2; i++) {
            final double[] v = unit.nextVector();
            final double r = radius2.sample();
            // Second ring is in the xz-plane, centered at (radiusRing1, 0, 0).
            secondRing[i] = new Vector3D(radiusRing1 + v[0] * r,
                                         widthRing2.sample(),
                                         v[1] * r);
        }

        // Move first and second rings into position.
        final Rotation rot = new Rotation(Vector3D.PLUS_K,
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        final UnivariateFunction f1 = FunctionUtils.add(h1, new Constant(centre[0]));
        final UnivariateFunction f2 = FunctionUtils.add(h2, new Constant(centre[1]));

        final RealDistribution u
            = new UniformRealDistribution(random, -0.05 * radius, 0.05 * radius);

        return new FeatureInitializer[] {
            FeatureInitializerFactory.randomize(u, FeatureInitializerFactory.function(f1, 0, 1)),
            FeatureInitializerFactory.randomize(u, FeatureInitializerFactory.function(f2, 0, 1))
        };
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        double[] permuted = new double[10];
        RandomDataImpl random = new RandomDataImpl();

        // Generate 10 distinct random values
        for (int i = 0; i < 10; i++) {
            final RealDistribution u = new UniformRealDistribution(i + 0.5, i + 0.75);
            original[i] = u.sample();
        }

        // Generate a random permutation, making sure it is not the identity
        boolean isIdentity = true;
        do {
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        public UniformKernelEmpiricalDistribution(int i) {
            super(i);
        }
        @Override
        protected RealDistribution getKernel(SummaryStatistics bStats) {
            return new UniformRealDistribution(randomData.getRandomGenerator(), bStats.getMin(), bStats.getMax(),
                    UniformRealDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);
        }
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            = new BicubicSplineInterpolatingFunction(xval, yval, zval,
                                                     dZdX, dZdY, dZdXdY);
        double x, y;

        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);

        final int numSamples = 50;
        final double tol = 6;
        for (int i = 0; i < numSamples; i++) {
            x = distX.sample();
            for (int j = 0; j < numSamples; j++) {
                y = distY.sample();
//                 System.out.println(x + " " + y + " " + f.value(x, y) + " " + bcf.value(x, y));
                Assert.assertEquals(f.value(x, y),  bcf.value(x, y), tol);
            }
//             System.out.println();
        }
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        BivariateFunction bcf = new BicubicSplineInterpolatingFunction(xval, yval, zval,
                                                                       dZdX, dZdY, dZdXdY);
        double x, y;

        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);

        final double tol = 224;
        double max = 0;
        for (int i = 0; i < sz; i++) {
            x = distX.sample();
            for (int j = 0; j < sz; j++) {
                y = distY.sample();
//                 System.out.println(x + " " + y + " " + f.value(x, y) + " " + bcf.value(x, y));
                Assert.assertEquals(f.value(x, y),  bcf.value(x, y), tol);
            }
//             System.out.println();
        }
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        BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
        BivariateFunction p = interpolator.interpolate(xval, yval, zval);
        double x, y;

        final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
        final UniformRealDistribution distX
            = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
        final UniformRealDistribution distY
            = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);

        final int numSamples = 50;
        final double tol = 6;
        for (int i = 0; i < numSamples; i++) {
            x = distX.sample();
            for (int j = 0; j < numSamples; j++) {
                y = distY.sample();
//                 System.out.println(x + " " + y + " " + f.value(x, y) + " " + p.value(x, y));
                Assert.assertEquals(f.value(x, y),  p.value(x, y), tol);
            }
//             System.out.println();
        }
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Related Classes of org.apache.commons.math3.distribution.UniformRealDistribution

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  • org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  • org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
  • org.apache.commons.math3.analysis.function.HarmonicOscillator
  • org.apache.commons.math3.analysis.function.Sin
  • org.apache.commons.math3.analysis.function.Sinc
  • org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunctionTest
  • org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatorTest
  • org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatorTest
  • org.apache.commons.math3.analysis.MultivariateFunction
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