Example usage for java.lang Math pow

Introduction

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

Prototype

@HotSpotIntrinsicCandidate
public static double pow(double a, double b)

Source Link

Document

Returns the value of the first argument raised to the power of the second argument.

Usage

From source file:Main.java

static String formatDec(float val, int dec) {
    int factor = (int) Math.pow(10, dec);

    int front = (int) (val);
    int back = (int) Math.abs(val * (factor)) % factor;

    return front + "." + back;
}

From source file:Main.java

/**
 * Get the distance between two points./*from w w w  . j a va 2s.  c  o  m*/
 */
public static int getDistance(float x1, float y1, float x2, float y2) {
    return (int) Math.sqrt(Math.pow(x1 - x2, 2) + Math.pow(y1 - y2, 2));
}

From source file:Main.java

public static float distance(float x1, float y1, float x2, float y2) {
    float d1 = x1 - x2;
    float d2 = y1 - y2;
    return (float) Math.sqrt((float) Math.pow(d1, 2) + Math.pow(d2, 2));
}

From source file:IntUtils.java

public static byte[] IntToBytes(int i) {
    int digits, hiLimit, digit;
    byte[] bArr;//from  ww w.  j  av a 2  s.c o  m

    digits = IntLen(i);
    bArr = new byte[digits];
    hiLimit = (int) Math.pow(10, digits - 1);

    for (int j = 0; j < digits; j++) {
        digit = i / hiLimit;

        bArr[j] = (byte) (48 + digit);

        i -= (digit * hiLimit);
        hiLimit /= 10;
    }

    return bArr;
}

From source file:geogebra.util.MyMath.java

/**
 * Cubic root//from  w w w. j  a  v  a 2  s  .  co m
 * @param a 
 * @return cube root
 */
final public static double cbrt(double a) {
    if (a > 0.0)
        return Math.pow(a, ONE_THIRD);
    else
        return -Math.pow(-a, ONE_THIRD);
}

From source file:gedi.util.math.stat.distributions.LfcDistribution.java

public static double dlfc(double l, double a, double b, boolean log_p) {
    double r = (a * l + 1) * Math.log(2) - MathFunctions.lbeta(a, b) - (a + b) * Math.log(1 + Math.pow(2, l));
    if (!log_p)//  w  w w . ja  va  2 s  . c o m
        r = Math.exp(r);
    return r;
}

From source file:Main.java

public static Bitmap revitionImageSize(String path, int width, int height) throws IOException {
    BufferedInputStream in = new BufferedInputStream(new FileInputStream(new File(path)));
    BitmapFactory.Options options = new BitmapFactory.Options();
    options.inJustDecodeBounds = true;/*from w w w.j av a  2  s .co m*/
    BitmapFactory.decodeStream(in, null, options);
    in.close();
    int i = 0;
    Bitmap bitmap = null;
    while (true) {
        if ((options.outWidth >> i <= width) && (options.outHeight >> i <= height)) {
            in = new BufferedInputStream(new FileInputStream(new File(path)));
            options.inSampleSize = (int) Math.pow(2.0D, i);
            options.inJustDecodeBounds = false;
            bitmap = BitmapFactory.decodeStream(in, null, options);
            break;
        }
        i += 1;
    }
    return bitmap;
}

From source file:edu.csun.ecs.cs.multitouchj.ui.utility.PointUtility.java

public static float getDistance(Point pointA, Point pointB) {
    return (float) Math
            .sqrt(Math.pow((pointB.getX() - pointA.getX()), 2) + Math.pow((pointB.getY() - pointA.getY()), 2));
}

From source file:edu.msu.cme.rdp.graph.utils.BloomFilterStats.java

public static void printStats(BloomFilter filter, PrintStream out) {

    long n = filter.getUniqueKmers();
    long m = (long) Math.pow(2, filter.getHashSizeLog2());
    int k = filter.getHashCount();

    //(1-e^(-k*((n+.5)/(m-1))))^k
    double falsePositiveRate = Math.pow((1 - Math.pow(Math.E, -k * ((n + .5) / (m - 1)))), k);

    out.println("Bloom filter created on:       " + filter.getCreatedOn());
    out.println("Serializable id:               " + BloomFilter.serialVersionUID);
    out.println();/*from w ww . j  av a  2 s  . c o m*/
    out.println("Bloom filter size log 2:       " + filter.getHashSizeLog2());
    out.println("Bloom filter size (bits) (m):  " + m);
    out.println();
    out.println("Number of bitsets:             " + filter.getNumBitsets());
    out.println("Bitset size (bits):            " + filter.getBitsetSize());
    out.println("Bitset size log2:              " + filter.getBitsetSizeLog2());
    out.println();
    out.println("Number of hashes (k):          " + filter.getHashCount());
    out.println("Hash function name:            " + filter.getHasherClassName());
    out.println();
    out.println("Bitset Mask:                   "
            + StringUtils.leftPad(Long.toBinaryString(filter.getBitsetMask()), 64, '0'));
    out.println("Hash mask:                     "
            + StringUtils.leftPad(Long.toBinaryString(filter.getHashMask()), 64, '0'));
    out.println();
    out.println("Kmer length:                   " + filter.getKmerSize());
    out.println();
    out.println("Total kmers in bloom filter:   " + filter.getTotalKmers());
    out.println("Total strings inserted:        " + filter.getTotalStrings());
    out.println("Total unique kmers:            " + filter.getUniqueKmers());
    if (filter.getSingltonKmers() > -1) {
        out.println("Total mercy kmers if set:      " + filter.getMercyKmers());
        out.println("Total singleton kmers:         " + filter.getSingltonKmers());
    }
    out.println("Predicted false positive rate: " + falsePositiveRate);
}

From source file:edu.gmu.csd.processor.DataProcessor.java

public static WinningResult calculateMeanStandardDeviation(String raffle) {
    String[] dataFieldsArr = null;
    if (StringUtils.isNotEmpty(raffle)) {
        dataFieldsArr = StringUtils.split(raffle, ",");
    }/*from www.j  a  va 2  s . c  o m*/
    WinningResult winningResult = null;

    if (null != dataFieldsArr) {
        double mean;
        double sum = 0;
        double squareSum = 0;
        double stndrdDeviation;

        // First for loop to calculate the mean.
        for (String meanData : dataFieldsArr) {
            sum = sum + Integer.parseInt(meanData);
        }

        mean = sum / dataFieldsArr.length;

        // Second for loop to calculate the standard deviation.
        for (String sdData : dataFieldsArr) {
            double square = Math.pow((Integer.parseInt(sdData) - mean), 2);

            squareSum = squareSum + square;
        }

        stndrdDeviation = Math.sqrt(squareSum / (dataFieldsArr.length - 1));

        winningResult = new WinningResult();
        winningResult.setMean(mean);
        winningResult.setStandardDeviation(stndrdDeviation);
    }

    return winningResult;
}