Example usage for java.lang StrictMath log10

Introduction

In this page you can find the example usage for java.lang StrictMath log10.

Prototype

public static native double log10(double a);

Source Link

Document

Returns the base 10 logarithm of a double value.

Usage

From source file:Main.java

public static void main(String[] args) {

    double d1 = 0.0, d2 = 1234.5, d3 = (1.0 / 0.0), d4 = 1;

    System.out.println("Log " + d1 + " with base 10 = " + StrictMath.log10(d1));

    System.out.println("Log " + d2 + " with base 10 = " + StrictMath.log10(d2));

    System.out.println("Log " + d3 + " with base 10 = " + StrictMath.log10(d3));

    System.out.println("Log " + d4 + " with base 10 = " + StrictMath.log10(d4));
}

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From source file:Main.java

public static String formatValue(double value) {
    if (value > 0) {
        int power;
        String suffix = " kmbt";
        String formattedNumber = "";

        NumberFormat formatter = new DecimalFormat("#,###.#");
        power = (int) StrictMath.log10(value);
        value = value / (Math.pow(10, (power / 3) * 3));
        formattedNumber = formatter.format(value);
        formattedNumber = formattedNumber + suffix.charAt(power / 3);
        return formattedNumber.length() > 4 ? formattedNumber.replaceAll("\\.[0-9]+", "") : formattedNumber;
    } else {//from w  w w . ja v a 2s .c om
        return "0";
    }
}

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From source file:net.nicoulaj.benchmarks.math.DoubleLog10.java

@GenerateMicroBenchmark
public void strictmath(BlackHole hole) {
    for (int i = 0; i < data.length - 1; i++)
        hole.consume(StrictMath.log10(data[i]));
}

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From source file:edu.cornell.med.icb.goby.algorithmic.algorithm.dmr.ChiSquareTestAdaptor.java

@Override
public double calculateNoCovariate(int... a) {
    final int cma = a[0];
    final int ca = a[1];
    final int cmb = a[2];
    final int cb = a[3];

    if (cma == 0 || ca == 0 || cmb == 0 || cb == 0) {
        setIgnorePair(true);// w  ww.  ja va2  s .  com
        return -StrictMath.log10(1.0);
    }
    expectedCounts[0] = cma;
    expectedCounts[1] = ca;
    observedCounts[0] = cmb;
    observedCounts[1] = cb;
    double pValue = Double.NaN;
    final ChiSquareTest chisquare = new ChiSquareTestImpl();
    try {
        final double pValueRaw = chisquare.chiSquareTest(expectedCounts, observedCounts);
        // math commons can return negative p-values?
        pValue = Math.abs(pValueRaw);
    } catch (MaxIterationsExceededException e) {

        LOG.error("expected:" + DoubleArrayList.wrap(expectedCounts).toString());
        LOG.error("observed:" + LongArrayList.wrap(observedCounts).toString());
        LOG.error(e);
        pValue = 1.0;
        setIgnorePair(true);
    } catch (MathException e) {
        e.printStackTrace();
        setIgnorePair(true);

    }

    setIgnorePair(false);
    return -StrictMath.log10(pValue);
}

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From source file:org.esa.beam.util.math.FastMathPerformance.java

public void testLog10() {
    System.gc();//from  ww  w  .  j a va  2  s .  c  o m
    double x = 0;
    long time = System.nanoTime();
    for (int i = 0; i < RUNS; i++)
        x += StrictMath.log10(Math.PI + i/* 1.0 + i/1e9 */);
    long strictMath = System.nanoTime() - time;

    System.gc();
    double y = 0;
    time = System.nanoTime();
    for (int i = 0; i < RUNS; i++)
        y += FastMath.log10(Math.PI + i/* 1.0 + i/1e9 */);
    long fastTime = System.nanoTime() - time;

    System.gc();
    double z = 0;
    time = System.nanoTime();
    for (int i = 0; i < RUNS; i++)
        z += Math.log10(Math.PI + i/* 1.0 + i/1e9 */);
    long mathTime = System.nanoTime() - time;

    report("log10", x + y + z, strictMath, fastTime, mathTime);
}

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