Examples of Expm1

org.apache.commons.math3.analysis.function.Expm1
e^x-1 function. @since 3.0
org.apache.pig.piggybank.evaluation.math.EXPM1
math.EXPM1 implements a binding to the Java function {@link java.lang.Math#expm1(double) Math.expm1(double)}. Given a single data atom it returns exp(input)+1

Parameters:

value - DataAtom [double].

Return Value:

DataAtom [double]

Return Schema:

expm1_inputSchema

Example:

register math.jar; A = load 'mydata' using PigStorage() as ( float1 ); B = foreach A generate float1, math.expm1(float1);

@see Math#expm1(double) @see @author ajay garg

Examples of org.apache.commons.math3.analysis.function.Expm1

    /**
     * Test of solver for the exponential function.
     */
    @Test
    public void testExpm1Function() {
        UnivariateFunction f = new Expm1();
        UnivariateSolver solver = new RiddersSolver();
        double min, max, expected, result, tolerance;


        min = -1.0; max = 2.0; expected = 0.0;
        tolerance = FastMath.max(solver.getAbsoluteAccuracy(),

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Examples of org.apache.commons.math3.analysis.function.Expm1

     * <p>
     * It takes 25 to 50 iterations for the last two tests to converge.
     */
    @Test
    public void testExpm1Function() {
        UnivariateFunction f = new Expm1();
        UnivariateSolver solver = new MullerSolver2();
        double min, max, expected, result, tolerance;


        min = -1.0; max = 2.0; expected = 0.0;
        tolerance = FastMath.max(solver.getAbsoluteAccuracy(),

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Examples of org.apache.commons.math3.analysis.function.Expm1

     * <p>
     * |expm1^(n)(zeta)| <= e, zeta in [-1, 1]
     */
    @Test
    public void testExpm1Function() {
        UnivariateFunction f = new Expm1();
        UnivariateInterpolator interpolator = new NevilleInterpolator();
        double x[], y[], z, expected, result, tolerance;


        // 5 interpolating points on interval [-1, 1]
        int n = 5;
        double min = -1.0, max = 1.0;
        x = new double[n];
        y = new double[n];
        for (int i = 0; i < n; i++) {
            x[i] = min + i * (max - min) / n;
            y[i] = f.value(x[i]);
        }
        double derivativebound = FastMath.E;
        UnivariateFunction p = interpolator.interpolate(x, y);


        z = 0.0; expected = f.value(z); result = p.value(z);
        tolerance = FastMath.abs(derivativebound * partialerror(x, z));
        Assert.assertEquals(expected, result, tolerance);


        z = 0.5; expected = f.value(z); result = p.value(z);
        tolerance = FastMath.abs(derivativebound * partialerror(x, z));
        Assert.assertEquals(expected, result, tolerance);


        z = -0.5; expected = f.value(z); result = p.value(z);
        tolerance = FastMath.abs(derivativebound * partialerror(x, z));
        Assert.assertEquals(expected, result, tolerance);
    }

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Examples of org.apache.commons.math3.analysis.function.Expm1

     * <p>
     * |expm1^(n)(zeta)| <= e, zeta in [-1, 1]
     */
    @Test
    public void testExpm1Function() {
        UnivariateFunction f = new Expm1();
        UnivariateInterpolator interpolator = new DividedDifferenceInterpolator();
        double x[], y[], z, expected, result, tolerance;


        // 5 interpolating points on interval [-1, 1]
        int n = 5;
        double min = -1.0, max = 1.0;
        x = new double[n];
        y = new double[n];
        for (int i = 0; i < n; i++) {
            x[i] = min + i * (max - min) / n;
            y[i] = f.value(x[i]);
        }
        double derivativebound = FastMath.E;
        UnivariateFunction p = interpolator.interpolate(x, y);


        z = 0.0; expected = f.value(z); result = p.value(z);
        tolerance = FastMath.abs(derivativebound * partialerror(x, z));
        Assert.assertEquals(expected, result, tolerance);


        z = 0.5; expected = f.value(z); result = p.value(z);
        tolerance = FastMath.abs(derivativebound * partialerror(x, z));
        Assert.assertEquals(expected, result, tolerance);


        z = -0.5; expected = f.value(z); result = p.value(z);
        tolerance = FastMath.abs(derivativebound * partialerror(x, z));
        Assert.assertEquals(expected, result, tolerance);
    }

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Examples of org.apache.commons.math3.analysis.function.Expm1

        double[] result_mapExpToSelf = {2.718281828459045e+00d,7.389056098930650e+00d, 2.008553692318767e+01d};
        assertClose("compare vectors" ,result_mapExpToSelf,v_mapExpToSelf.toArray(),normTolerance);




        //octave =  ???
        RealVector v_mapExpm1 = v1.map(new Expm1());
        double[] result_mapExpm1 = {1.718281828459045d,6.38905609893065d, 19.085536923187668d};
        assertClose("compare vectors" ,result_mapExpm1,v_mapExpm1.toArray(),normTolerance);


        //octave =  ???
        RealVector v_mapExpm1ToSelf = v1.copy();
        v_mapExpm1ToSelf.mapToSelf(new Expm1());
        double[] result_mapExpm1ToSelf = {1.718281828459045d,6.38905609893065d, 19.085536923187668d};
        assertClose("compare vectors" ,result_mapExpm1ToSelf,v_mapExpm1ToSelf.toArray(),normTolerance);


        //octave =  log(v1)
        RealVector v_mapLog = v1.map(new Log());

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Examples of org.apache.commons.math3.analysis.function.Expm1

        double[] result_mapExpToSelf = {2.718281828459045e+00d,7.389056098930650e+00d, 2.008553692318767e+01d};
        assertClose("compare vectors" ,result_mapExpToSelf,v_mapExpToSelf.toArray(),normTolerance);




        //octave =  ???
        RealVector v_mapExpm1 = v1.map(new Expm1());
        double[] result_mapExpm1 = {1.718281828459045d,6.38905609893065d, 19.085536923187668d};
        assertClose("compare vectors" ,result_mapExpm1,v_mapExpm1.toArray(),normTolerance);


        //octave =  ???
        RealVector v_mapExpm1ToSelf = v1.copy();
        v_mapExpm1ToSelf.mapToSelf(new Expm1());
        double[] result_mapExpm1ToSelf = {1.718281828459045d,6.38905609893065d, 19.085536923187668d};
        assertClose("compare vectors" ,result_mapExpm1ToSelf,v_mapExpm1ToSelf.toArray(),normTolerance);


        //octave =  log(v1)
        RealVector v_mapLog = v1.map(new Log());

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Examples of org.apache.pig.piggybank.evaluation.math.EXPM1

          double actual = (new Double(output.strval())).doubleValue();
          assertEquals(actual, expected, delta);
   }
   
   public void testEXPM1() throws Exception{
       EvalFunc<DataAtom> EXPM1 = new EXPM1();
          Tuple tup = new Tuple(1);
          tup.setField(0, 0.5);
          DataAtom output = new DataAtom();
          EXPM1.exec(tup, output);
          double expected = Math.expm1(0.5);
          double actual = (new Double(output.strval())).doubleValue();
          assertEquals(actual, expected, delta);
   }

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