Java Array Max Value maxNormWithAbort(double[] x1, double[] x2, double limit)

Description

Computing the norm as the Max norm; if it becomes clear that norm will be larger than limit, then return Double.POSITIVE_INFINITY immediately.

License

Open Source License

Parameter

Parameter	Description
x1	vector 1
x2	vector 2
limit	a parameter

Declaration

public static double maxNormWithAbort(double[] x1, double[] x2,
        double limit) 

Method Source Code

//package com.java2s;
/*//from   www.j  a  v  a 2 s.  c o  m
 *  Java Information Dynamics Toolkit (JIDT)
 *  Copyright (C) 2012, Joseph T. Lizier
 *  
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
 *  (at your option) any later version.
 *  
 *  This program is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
 *  
 *  You should have received a copy of the GNU General Public License
 *  along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

public class Main {
    /**
     * Computing the norm as the Max norm; if 
     *  it becomes clear that norm will be larger than limit,
     *  then return Double.POSITIVE_INFINITY immediately.
     * 
     * @param x1 vector 1
     * @param x2 vector 2
     * @param limit
     * @return
     */
    public static double maxNormWithAbort(double[] x1, double[] x2,
            double limit) {
        double distance = 0.0;
        for (int d = 0; d < x1.length; d++) {
            double difference = x1[d] - x2[d];
            // Take the abs
            if (difference < 0) {
                difference = -difference;
            }
            if (difference > distance) {
                if (difference > limit) {
                    return Double.POSITIVE_INFINITY;
                }
                distance = difference;
            }
        }
        return distance;
    }
}

Related

1. maxLikelihood(int[] i, long[] Xi)
2. maxLimit(int receiver, int... maxBound)
3. maxLocation(double[] list)
4. maxNorm(double[] arr)
5. maxNorm(double[] x1, double[] x2)
6. maxNum(Number iArr[])
7. maxOfSortedValues(double[] sortedValues)
8. maxOverArraySubset(double[] array, Iterable subset)
9. maxpool(float[] curr, float[] probs)