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Added mapping functions to MathArrays.
These methods allow to map any univariate or bivariate function to arrays. This fixes several pull requests on github, but uses a generalized mapping approach rather than specific api for each function (closes #6, closes #7, closes #8).
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@ -54,6 +54,10 @@ If the output is not quite correct, check for invisible trailing spaces!
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</release>
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<release version="4.0" date="XXXX-XX-XX" description="">
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<action dev="luc" type="add" >
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Added mapping functions to MathArrays. These methods allow to map
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any univariate or bivariate functions to arrays.
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</action>
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<action dev="tn" type="fix" issue="MATH-1240"> <!-- backported to 3.6 -->
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"KolmogorovSmirnovTest#ksSum(...)" returned wrong result in case the provided
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t-parameters was zero. This affected the calculation of "approximateP(...)" for
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@ -25,6 +25,8 @@ import java.util.Comparator;
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import java.util.List;
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import org.apache.commons.math4.Field;
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import org.apache.commons.math4.analysis.BivariateFunction;
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import org.apache.commons.math4.analysis.UnivariateFunction;
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import org.apache.commons.math4.distribution.UniformIntegerDistribution;
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import org.apache.commons.math4.exception.DimensionMismatchException;
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import org.apache.commons.math4.exception.MathArithmeticException;
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@ -107,6 +109,75 @@ public class MathArrays {
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}
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}
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/**
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* Creates an array whose contents will be the element-by-element
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* mapping of the function to argument.
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*
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* @param f function to map on elements
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* @param a array of function parameters.
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* @return a new array {@code r} where {@code r[i] = f(a[i])}.
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* @since 4.0
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*/
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public static double[] map(final UnivariateFunction f, final double[] a) {
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final double[] result = new double[a.length];
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for (int i = 0; i < result.length; ++i) {
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result[i] = f.value(a[i]);
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}
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return result;
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}
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/**
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* Creates an array whose contents will be the element-by-element
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* mapping of the function to arguments.
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*
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* @param f function to map on elements
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* @param a array of first parameters of the function.
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* @param b array of second parameters of the function.
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* @return a new array {@code r} where {@code r[i] = f(a[i], b[i])}.
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* @throws DimensionMismatchException if the array lengths differ.
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* @since 4.0
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*/
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public static double[] map(final BivariateFunction f,
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final double[] a, final double[] b) {
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if (a.length != b.length) {
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throw new DimensionMismatchException(a.length, b.length);
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}
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final double[] result = new double[a.length];
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for (int i = 0; i < result.length; ++i) {
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result[i] = f.value(a[i], b[i]);
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}
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return result;
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}
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/**
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* Creates an array whose contents will be the element-by-element
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* mapping of the function to arguments.
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*
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* @param f function to map on elements
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* @param a array of first parameters of the function.
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* @param b fixed value for second function parameter.
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* @return a new array {@code r} where {@code r[i] = f(a[i])}.
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* @since 4.0
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*/
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public static double[] map(final BivariateFunction f,
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final double[] a, final double b) {
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final double[] result = new double[a.length];
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for (int i = 0; i < result.length; ++i) {
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result[i] = f.value(a[i], b);
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}
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return result;
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}
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/**
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* Creates an array whose contents will be the element-by-element
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* addition of the arguments.
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@ -16,6 +16,8 @@ package org.apache.commons.math4.util;
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import java.util.Arrays;
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import org.apache.commons.math4.TestUtils;
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import org.apache.commons.math4.analysis.function.Abs;
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import org.apache.commons.math4.analysis.function.Add;
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import org.apache.commons.math4.exception.DimensionMismatchException;
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import org.apache.commons.math4.exception.MathArithmeticException;
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import org.apache.commons.math4.exception.MathIllegalArgumentException;
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@ -74,7 +76,37 @@ public class MathArraysTest {
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Assert.assertEquals(correctScaled[i], test[i], 0);
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}
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}
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@Test
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public void testMapUnivariate() {
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final double[] expected = new double[] { 1, 2, 4, 8 };
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final double[] observed =
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MathArrays.map(new Abs(), new double[] { 1, -2, -4, 8});
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TestUtils.assertEquals(expected, observed, 1.0e-15);
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}
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@Test
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public void testMapBivariateTwoArrays() {
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final double[] expected = new double[] { 1, 3, 6, 11 };
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final double[] observed =
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MathArrays.map(new Add(),
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new double[] { 1, 2, 4, 8}, new double[] { 0, 1, 2, 3});
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TestUtils.assertEquals(expected, observed, 1.0e-15);
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}
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@Test
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public void testMapBivariateOneArray() {
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final double[] expected = new double[] { 3.5, 4.5, 6.5, 10.5 };
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final double[] observed =
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MathArrays.map(new Add(), new double[] { 1, 2, 4, 8}, 2.5);
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TestUtils.assertEquals(expected, observed, 1.0e-15);
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}
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@Test(expected=DimensionMismatchException.class)
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public void testMapBivariatePrecondition() {
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MathArrays.map(new Add(), new double[3], new double[4]);
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}
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@Test(expected=DimensionMismatchException.class)
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public void testEbeAddPrecondition() {
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MathArrays.ebeAdd(new double[3], new double[4]);
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