Example usage for org.apache.commons.math.stat StatUtils sumSq

Introduction

In this page you can find the example usage for org.apache.commons.math.stat StatUtils sumSq.

Prototype

public static double sumSq(final double[] values) 

Source Link

Document

Returns the sum of the squares of the entries in the input array, or Double.NaN if the array is empty.

Usage

From source file:es.udc.gii.common.eaf.util.EAFMath.java

public static double distance(double[] pI, double[] pJ) {
    double[] auxArray = new double[pI.length];

    for (int i = 0; i < pI.length; i++) {
        auxArray[i] = pI[i] - pJ[i];/*from ww  w  .j  ava  2s.co  m*/
    }
    double sumSq = StatUtils.sumSq(auxArray);

    return (sumSq == 0.0 ? 0.0 : Math.sqrt(sumSq));
}

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From source file:es.udc.gii.common.eaf.util.EAFMath.java

public static double perpendicularDistance(double[] pI, double[] pJ) {

    double pJmodule = (StatUtils.sumSq(pJ) != 0.0 ? Math.sqrt(StatUtils.sumSq(pJ)) : 0.0);

    return (pJmodule != 0.0 ? innerProduct(pI, pJ) / pJmodule : 0.0);

}

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From source file:es.udc.gii.common.eaf.util.EAFMath.java

public static double distance(List<Double> pI, List<Double> pJ) {
    double[] auxArray = new double[pI.size()];

    for (int i = 0; i < pI.size(); i++) {
        auxArray[i] = pI.get(i) - pJ.get(i);
    }//from  w ww  .jav  a  2 s .c om

    double sumSq = StatUtils.sumSq(auxArray);

    return (sumSq == 0.0 ? 0.0 : Math.sqrt(sumSq));
}

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From source file:es.udc.gii.common.eaf.benchmark.constrained_real_param.g03.G03ConstraintFunction_h1.java

@Override
public double evaluate(double[] values) {

    double[] norm_values;

    norm_values = G03Function.normalize(values);

    return StatUtils.sumSq(norm_values) - 1.0;

}

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From source file:es.udc.gii.common.eaf.util.EAFMath.java

public static double perpendicularDistance(List<Double> pI, List<Double> pJ) {

    double[] pJarray = new double[pJ.size()];

    for (int i = 0; i < pJ.size(); i++) {
        pJarray[i] = pJ.get(i);/* w w w  . j  a  v  a 2 s  .  c om*/
    }

    double pJmodule = (StatUtils.sumSq(pJarray) != 0.0 ? Math.sqrt(StatUtils.sumSq(pJarray)) : 0.0);

    return (pJmodule != 0.0 ? innerProduct(pI, pJ) / pJmodule : 0.0);

}

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