Replaced unit tests.
git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1488417 13f79535-47bb-0310-9956-ffa450edef68
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@ -19,6 +19,9 @@ package org.apache.commons.math3.analysis.interpolation;
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import org.apache.commons.math3.exception.DimensionMismatchException;
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import org.apache.commons.math3.exception.MathIllegalArgumentException;
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import org.apache.commons.math3.analysis.BivariateFunction;
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import org.apache.commons.math3.distribution.UniformRealDistribution;
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import org.apache.commons.math3.random.RandomGenerator;
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import org.apache.commons.math3.random.Well19937c;
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import org.junit.Assert;
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import org.junit.Test;
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import org.junit.Ignore;
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@ -76,22 +79,28 @@ public final class BicubicSplineInterpolatorTest {
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}
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/**
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* Test of interpolator for a plane.
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* Interpolating a plane.
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* <p>
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* z = 2 x - 3 y + 5
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*/
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@Ignore@Test
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public void testPlane() {
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@Test
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public void testInterpolation1() {
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final int sz = 21;
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double[] xval = new double[sz];
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double[] yval = new double[sz];
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// Coordinate values
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final double delta = 1d / (sz - 1);
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for (int i = 0; i < sz; i++) {
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xval[i] = -1 + 15 * i * delta;
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yval[i] = -20 + 30 * i * delta;
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}
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// Function values
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BivariateFunction f = new BivariateFunction() {
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public double value(double x, double y) {
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return 2 * x - 3 * y + 5;
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}
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};
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BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
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double[] xval = new double[] {3, 4, 5, 6.5};
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double[] yval = new double[] {-4, -3, -1, 2, 2.5};
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double[][] zval = new double[xval.length][yval.length];
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for (int i = 0; i < xval.length; i++) {
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for (int j = 0; j < yval.length; j++) {
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@ -99,46 +108,52 @@ public final class BicubicSplineInterpolatorTest {
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}
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}
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BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
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BivariateFunction p = interpolator.interpolate(xval, yval, zval);
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double x, y;
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double expected, result;
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x = 4;
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y = -3;
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expected = f.value(x, y);
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result = p.value(x, y);
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Assert.assertEquals("On sample point", expected, result, 1e-15);
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x = 4.5;
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y = -1.5;
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expected = f.value(x, y);
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result = p.value(x, y);
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Assert.assertEquals("half-way between sample points (middle of the patch)", expected, result, 0.3);
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final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
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final UniformRealDistribution distX
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= new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
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final UniformRealDistribution distY
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= new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);
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x = 3.5;
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y = -3.5;
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expected = f.value(x, y);
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result = p.value(x, y);
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Assert.assertEquals("half-way between sample points (border of the patch)", expected, result, 0.3);
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final int numSamples = 50;
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final double tol = 6;
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for (int i = 0; i < numSamples; i++) {
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x = distX.sample();
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for (int j = 0; j < numSamples; j++) {
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y = distY.sample();
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// System.out.println(x + " " + y + " " + f.value(x, y) + " " + p.value(x, y));
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Assert.assertEquals(f.value(x, y), p.value(x, y), tol);
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}
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// System.out.println();
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}
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}
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/**
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* Test of interpolator for a paraboloid.
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* Interpolating a paraboloid.
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* <p>
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* z = 2 x<sup>2</sup> - 3 y<sup>2</sup> + 4 x y - 5
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*/
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@Test
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public void testParaboloid() {
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public void testInterpolation2() {
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final int sz = 21;
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double[] xval = new double[sz];
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double[] yval = new double[sz];
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// Coordinate values
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final double delta = 1d / (sz - 1);
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for (int i = 0; i < sz; i++) {
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xval[i] = -1 + 15 * i * delta;
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yval[i] = -20 + 30 * i * delta;
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}
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// Function values
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BivariateFunction f = new BivariateFunction() {
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public double value(double x, double y) {
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return 2 * x * x - 3 * y * y + 4 * x * y - 5;
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}
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};
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BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
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double[] xval = new double[] {3, 4, 5, 6.5};
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double[] yval = new double[] {-4, -3, -2, -1, 0.5, 2.5};
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double[][] zval = new double[xval.length][yval.length];
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for (int i = 0; i < xval.length; i++) {
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for (int j = 0; j < yval.length; j++) {
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@ -146,26 +161,26 @@ public final class BicubicSplineInterpolatorTest {
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}
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}
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BivariateGridInterpolator interpolator = new BicubicSplineInterpolator();
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BivariateFunction p = interpolator.interpolate(xval, yval, zval);
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double x, y;
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double expected, result;
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x = 5;
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y = 0.5;
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expected = f.value(x, y);
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result = p.value(x, y);
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Assert.assertEquals("On sample point", expected, result, 1e-13);
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x = 4.5;
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y = -1.5;
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expected = f.value(x, y);
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result = p.value(x, y);
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Assert.assertEquals("half-way between sample points (middle of the patch)", expected, result, 0.2);
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final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed.
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final UniformRealDistribution distX
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= new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]);
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final UniformRealDistribution distY
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= new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]);
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x = 3.5;
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y = -3.5;
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expected = f.value(x, y);
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result = p.value(x, y);
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Assert.assertEquals("half-way between sample points (border of the patch)", expected, result, 0.2);
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final int numSamples = 50;
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final double tol = 251;
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for (int i = 0; i < numSamples; i++) {
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x = distX.sample();
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for (int j = 0; j < numSamples; j++) {
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y = distY.sample();
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// System.out.println(x + " " + y + " " + f.value(x, y) + " " + p.value(x, y));
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Assert.assertEquals(f.value(x, y), p.value(x, y), tol);
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}
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// System.out.println();
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}
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}
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}
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