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Java example source code file (BicubicSplineInterpolatorTest.java)
The BicubicSplineInterpolatorTest.java Java example source code/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.commons.math3.analysis.interpolation; import org.apache.commons.math3.exception.DimensionMismatchException; import org.apache.commons.math3.exception.MathIllegalArgumentException; import org.apache.commons.math3.analysis.BivariateFunction; import org.apache.commons.math3.distribution.UniformRealDistribution; import org.apache.commons.math3.random.RandomGenerator; import org.apache.commons.math3.random.Well19937c; import org.junit.Assert; import org.junit.Test; /** * Test case for the bicubic interpolator. * * @deprecated as of 3.4 replaced by {@link org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolator} */ @Deprecated public final class BicubicSplineInterpolatorTest { /** * Test preconditions. */ @Test public void testPreconditions() { double[] xval = new double[] {3, 4, 5, 6.5}; double[] yval = new double[] {-4, -3, -1, 2.5}; double[][] zval = new double[xval.length][yval.length]; BivariateGridInterpolator interpolator = new BicubicSplineInterpolator(); @SuppressWarnings("unused") BivariateFunction p = interpolator.interpolate(xval, yval, zval); double[] wxval = new double[] {3, 2, 5, 6.5}; try { p = interpolator.interpolate(wxval, yval, zval); Assert.fail("an exception should have been thrown"); } catch (MathIllegalArgumentException e) { // Expected } double[] wyval = new double[] {-4, -3, -1, -1}; try { p = interpolator.interpolate(xval, wyval, zval); Assert.fail("an exception should have been thrown"); } catch (MathIllegalArgumentException e) { // Expected } double[][] wzval = new double[xval.length][yval.length + 1]; try { p = interpolator.interpolate(xval, yval, wzval); Assert.fail("an exception should have been thrown"); } catch (DimensionMismatchException e) { // Expected } wzval = new double[xval.length - 1][yval.length]; try { p = interpolator.interpolate(xval, yval, wzval); Assert.fail("an exception should have been thrown"); } catch (DimensionMismatchException e) { // Expected } } /** * Interpolating a plane. * <p> * z = 2 x - 3 y + 5 */ @Test public void testInterpolation1() { final int sz = 21; double[] xval = new double[sz]; double[] yval = new double[sz]; // Coordinate values final double delta = 1d / (sz - 1); for (int i = 0; i < sz; i++) { xval[i] = -1 + 15 * i * delta; yval[i] = -20 + 30 * i * delta; } // Function values BivariateFunction f = new BivariateFunction() { public double value(double x, double y) { return 2 * x - 3 * y + 5; } }; double[][] zval = new double[xval.length][yval.length]; for (int i = 0; i < xval.length; i++) { for (int j = 0; j < yval.length; j++) { zval[i][j] = f.value(xval[i], yval[j]); } } BivariateGridInterpolator interpolator = new BicubicSplineInterpolator(); BivariateFunction p = interpolator.interpolate(xval, yval, zval); double x, y; final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed. final UniformRealDistribution distX = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]); final UniformRealDistribution distY = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]); final int numSamples = 50; final double tol = 6; for (int i = 0; i < numSamples; i++) { x = distX.sample(); for (int j = 0; j < numSamples; j++) { y = distY.sample(); // System.out.println(x + " " + y + " " + f.value(x, y) + " " + p.value(x, y)); Assert.assertEquals(f.value(x, y), p.value(x, y), tol); } // System.out.println(); } } /** * Interpolating a paraboloid. * <p> * z = 2 x<sup>2 - 3 y2 + 4 x y - 5 */ @Test public void testInterpolation2() { final int sz = 21; double[] xval = new double[sz]; double[] yval = new double[sz]; // Coordinate values final double delta = 1d / (sz - 1); for (int i = 0; i < sz; i++) { xval[i] = -1 + 15 * i * delta; yval[i] = -20 + 30 * i * delta; } // Function values BivariateFunction f = new BivariateFunction() { public double value(double x, double y) { return 2 * x * x - 3 * y * y + 4 * x * y - 5; } }; double[][] zval = new double[xval.length][yval.length]; for (int i = 0; i < xval.length; i++) { for (int j = 0; j < yval.length; j++) { zval[i][j] = f.value(xval[i], yval[j]); } } BivariateGridInterpolator interpolator = new BicubicSplineInterpolator(); BivariateFunction p = interpolator.interpolate(xval, yval, zval); double x, y; final RandomGenerator rng = new Well19937c(1234567L); // "tol" depends on the seed. final UniformRealDistribution distX = new UniformRealDistribution(rng, xval[0], xval[xval.length - 1]); final UniformRealDistribution distY = new UniformRealDistribution(rng, yval[0], yval[yval.length - 1]); final int numSamples = 50; final double tol = 251; for (int i = 0; i < numSamples; i++) { x = distX.sample(); for (int j = 0; j < numSamples; j++) { y = distY.sample(); // System.out.println(x + " " + y + " " + f.value(x, y) + " " + p.value(x, y)); Assert.assertEquals(f.value(x, y), p.value(x, y), tol); } // System.out.println(); } } } Other Java examples (source code examples)Here is a short list of links related to this Java BicubicSplineInterpolatorTest.java source code file: |
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