Example usage for org.apache.commons.math3.linear ArrayRealVector ArrayRealVector

Introduction

In this page you can find the example usage for org.apache.commons.math3.linear ArrayRealVector ArrayRealVector.

Prototype

public ArrayRealVector(double[] v1, double[] v2)

Source Link

Document

Construct a vector by appending one vector to another vector.

Usage

From source file:de.termininistic.serein.examples.benchmarks.functions.Domain.java

public RealVector getMaxVector(int dimension) {
    return new ArrayRealVector(dimension, max);
}

From source file:de.termininistic.serein.examples.benchmarks.functions.unimodal.SphereFunction.java

@Override
public RealVector getOptimum(int dimension) {
    return new ArrayRealVector(dimension, 0);
}

From source file:de.termininistic.serein.examples.benchmarks.functions.multimodal.SchwefelFunction.java

@Override
public RealVector getOptimum(int dimension) {
    return new ArrayRealVector(dimension, 420.9687);
}

From source file:de.termininistic.serein.examples.benchmarks.functions.unimodal.RosenbrockFunction.java

@Override
public RealVector getOptimum(int dimension) {
    return new ArrayRealVector(dimension, 1);
}

From source file:de.termininistic.serein.examples.benchmarks.functions.multimodal.StyblinskiTangFunction.java

@Override
public RealVector getOptimum(int dimension) {
    return new ArrayRealVector(dimension, -2.903534);
}

From source file:de.termininistic.serein.examples.benchmarks.functions.multimodal.AckleyFunction.java

@Override
public RealVector getOptimum(int dimension) {
    return new ArrayRealVector(dimension, 0.0);
}

From source file:de.termininistic.serein.examples.benchmarks.functions.multimodal.LevyFunction.java

@Override
public RealVector getOptimum(int dimension) {
    return new ArrayRealVector(dimension, 1.0);
}

From source file:com.analog.lyric.math.MoreMatrixUtils.java

/**
 * Return real vector that uses specified underlying representation.
 * <p>//from   w ww .ja  va 2 s . c  o  m
 * Simply shorthand for invoking {@link ArrayRealVector#ArrayRealVector(double[], boolean)}
 * constructor with {@code copyArray} argument set to false.
 * @since 0.08
 */
public static ArrayRealVector wrapRealVector(double[] data) {
    return new ArrayRealVector(data, false);
}

From source file:edu.stanford.cfuller.imageanalysistools.fitting.BisquareLinearFitTest.java

@Before
public void init() {
    this.success = true;
    this.eps = 1e-3;

    this.x = new ArrayRealVector(5, 0.0);
    this.y = new ArrayRealVector(5, 0.0);
    this.w = new ArrayRealVector(5, 1.0);
    this.expected = new ArrayRealVector(2, 0.0);
    this.result = null;
    this.bslf = new BisquareLinearFit();
}

From source file:fi.smaa.jsmaa.model.MultivariateGaussianCriterionMeasurementTest.java

@Test
public void testInitialization() {
    // Test initial values with 3 alternatives
    assertEquals(alternatives, m.getAlternatives());
    RealVector mu = new ArrayRealVector(3, 0.0);
    assertEquals(mu, m.getMeanVector());
    RealMatrix sigma = new Array2DRowRealMatrix(
            new double[][] { { 1.0, 0.0, 0.0 }, { 0.0, 1.0, 0.0 }, { 0.0, 0.0, 1.0 } });
    assertEquals(sigma, m.getCovarianceMatrix());

    // Test defensive copying of alternatives list
    ArrayList<Alternative> expected = new ArrayList<Alternative>(alternatives);
    alternatives.remove(0);/*from   w  w  w .j  a  v  a  2s .  c o  m*/
    assertEquals(expected, m.getAlternatives());

    // Test initial values with 2 alternatives
    MultivariateGaussianCriterionMeasurement m2 = new MultivariateGaussianCriterionMeasurement(alternatives);
    assertEquals(alternatives, m2.getAlternatives());
    RealVector mu2 = new ArrayRealVector(2, 0.0);
    assertEquals(mu2, m2.getMeanVector());
    RealMatrix sigma2 = new Array2DRowRealMatrix(new double[][] { { 1.0, 0.0 }, { 0.0, 1.0 } });
    assertEquals(sigma2, m2.getCovarianceMatrix());
}