Example usage for java.lang Math abs

Introduction

In this page you can find the example usage for java.lang Math abs.

Prototype

@HotSpotIntrinsicCandidate
public static double abs(double a)

Source Link

Document

Returns the absolute value of a double value.

Usage

From source file:com.opengamma.analytics.financial.timeseries.analysis.TurningPointIIDHypothesis.java

@Override
public boolean testIID(final DoubleTimeSeries<?> x) {
    Validate.notNull(x, "x");
    final double[] data = x.valuesArrayFast();
    final int n = data.length;
    int t = 0;//from   www .j a  va 2  s .  com
    double x0, x1, x2;
    for (int i = 1; i < n - 1; i++) {
        x0 = data[i - 1];
        x1 = data[i];
        x2 = data[i + 1];
        if (x1 > x0 && x1 > x2) {
            t++;
        } else if (x1 < x0 && x1 < x2) {
            t++;
        }
    }
    final double mean = 2 * (n - 2.) / 3.;
    final double std = Math.sqrt((16 * n - 29.) / 90.);
    return Math.abs(t - mean) / std < _criticalValue;
}

From source file:springfirst.MapController.java

@RequestMapping("/nearby")
@ResponseBody/* ww w .j  a v a  2s.c o m*/
public ArrayList<Location> nearby(@RequestParam(value = "x") float x, @RequestParam(value = "y") float y) {

    float y2 = Math.abs(y) - _longitudeAdjust;
    float x2 = x - _latitudeAdjust;

    float[] dimensions = new float[] { _latitudeSquare, _longitudeSquare };
    float[] coords = new float[] { x2, y2 };

    ArrayList<Location> data = MapService.search(coords, dimensions);

    while (data.size() < 10) {
        //TODO: adjust the coordinates
        dimensions[0] += _latitudeSquare;
        dimensions[1] += _longitudeSquare;
        coords[0] -= _latitudeAdjust;
        coords[1] -= _longitudeAdjust;

        data = MapService.search(coords, dimensions);

    }

    for (Location loc : data) {
        loc.setDistance(x, y);
    }

    data.sort(null);

    return data;
}

From source file:com.opengamma.analytics.financial.timeseries.filter.SpikeDoubleTimeSeriesFilter.java

public void setMaxPercentageMove(final double maxPercentageMove) {
    if (maxPercentageMove < 0) {
        s_logger.info("Maximum percentage move must be positive; using absolute value");
    }/*w  w  w  . j  a  va 2s . co  m*/
    _maxPercentageMove = Math.abs(maxPercentageMove);
}

From source file:net.adamjak.thomas.graph.application.commons.StatisticsUtils.java

public static DescriptiveStatistics statisticsWithoutExtremes(DescriptiveStatistics inputStatistics,
        GrubbsLevel grubbsLevel) throws IllegalArgumentException {
    if (inputStatistics == null || grubbsLevel == null)
        throw new IllegalArgumentException("Params inputStatistics and grubbsLevel can not be null.");

    int countInput = inputStatistics.getValues().length;
    Double avgInput = inputStatistics.getMean();
    Double stdInput = inputStatistics.getStandardDeviation();
    Double s = stdInput * Math.sqrt((countInput - 1.0) / countInput);
    Double criticalValue = grubbsLevel.getCriticalValue(countInput);

    DescriptiveStatistics outputStatistic = new DescriptiveStatistics();

    for (double inpVal : inputStatistics.getValues()) {
        double test = Math.abs(inpVal - avgInput) / s;

        if (test <= criticalValue) {
            outputStatistic.addValue(inpVal);
        }//w  w w.  j  a  v  a  2 s .com
    }

    return outputStatistic;
}

From source file:com.example.PJS.java

public static double NORMSDIST(double z) {
    double sign = 1;
    if (z < 0)
        sign = -1;//from ww w  .  j av  a2  s  . c  om
    return 0.5 * (1.0 + sign * erf(Math.abs(z) / Math.sqrt(2)));
}

From source file:com.pureinfo.srm.common.ImageHelper.java

private static int getNumber(int _nX0, int _nX1) {
    int number = _nX0 + (Math.abs(random.nextInt()) % (_nX1 - _nX0)) * 3 / 5;
    return number > 170 ? 170 : number;
}

From source file:com.sillelien.dollar.test.CircleCiParallelRule.java

@Override
public Statement apply(Statement statement, @NotNull Description description) {

    boolean runTest = true;

    final String tName = description.getClassName() + "#" + description.getMethodName();

    final String numNodes = System.getenv("CIRCLE_NODE_TOTAL");
    final String curNode = System.getenv("CIRCLE_NODE_INDEX");

    if (StringUtils.isBlank(numNodes) || StringUtils.isBlank(curNode)) {
        System.out.println("Running locally, so skipping");
    } else {/*from w w  w .  ja  va 2s .c om*/
        final int hashCode = Math.abs(tName.hashCode());

        int nodeToRunOn = hashCode % Integer.parseInt(numNodes);
        final int curNodeInt = Integer.parseInt(curNode);

        runTest = nodeToRunOn == curNodeInt;

        System.out.println(
                "currentNode: " + curNodeInt + ", targetNode: " + nodeToRunOn + ", runTest: " + runTest);

        if (!runTest) {
            return new Statement() {
                @Override
                public void evaluate() {
                    Assume.assumeTrue("Skipping test, currentNode: " + curNode + ", targetNode: " + nodeToRunOn,
                            false);
                }
            };
        }
    }

    return statement;
}

From source file:CoarseHashSet.java

/**
 * double the set size/*from  w  w w. j a  v a2 s. c o m*/
 */
@Override
public void resize() {
    int oldCapacity = table.length;
    lock.lock();
    try {
        if (oldCapacity != table.length) {
            return; // someone beat us to it
        }
        int newCapacity = 2 * oldCapacity;
        List<T>[] oldTable = table;
        table = (List<T>[]) new List[newCapacity];
        for (int i = 0; i < newCapacity; i++)
            table[i] = new ArrayList<T>();
        for (List<T> bucket : oldTable) {
            for (T x : bucket) {
                int myBucket = Math.abs(x.hashCode() % table.length);
                table[myBucket].add(x);
            }
        }
    } finally {
        lock.unlock();
    }
}

From source file:org.csml.tommo.sugar.heatmap.AbsoluteDiffOperation.java

@Override
public double mix(double topValue, double bottomValue) {
    return Math.abs(super.mix(topValue, bottomValue));
}

From source file:com.caseystella.analytics.outlier.streaming.mad.ConfusionMatrix.java

private static boolean setContains(Set<Long> outliers, long prospectiveOutlier, long meanDiffBetweenTs,
        int timeBounds) {
    for (Long outlier : outliers) {
        if (Math.abs(outlier - prospectiveOutlier) <= timeBounds * meanDiffBetweenTs) {
            return true;
        }//www . j  a v a2s.  c  om
    }
    return false;
}