/** * Copyright (C) 2013 - present by OpenGamma Inc. and the OpenGamma group of companies * * Please see distribution for license. */ package com.opengamma.analytics.math.interpolation; import static org.testng.Assert.assertEquals; import org.testng.annotations.Test; import com.opengamma.analytics.math.interpolation.data.Interpolator1DDataBundle; import com.opengamma.util.test.TestGroup; /** * Test interpolateWithSensitivity method via PiecewisePolynomialInterpolator1D */ @Test(groups = TestGroup.UNIT) public class NaturalSplineInterpolator1DTest { private static final NaturalSplineInterpolator INTERP = new NaturalSplineInterpolator(); private static final NaturalSplineInterpolator1D INTERP1D = new NaturalSplineInterpolator1D(); private static final double EPS = 1.e-7; /** * Recovery test on polynomial, rational, exponential functions, and node sensitivity test by finite difference method */ @Test public void sampleFunctionTest() { final int nData = 10; final double[] xValues = new double[nData]; final double[] yValues1 = new double[nData]; final double[] yValues2 = new double[nData]; final double[] yValues3 = new double[nData]; final double[] yValues1Up = new double[nData]; final double[] yValues2Up = new double[nData]; final double[] yValues3Up = new double[nData]; final double[] yValues1Dw = new double[nData]; final double[] yValues2Dw = new double[nData]; final double[] yValues3Dw = new double[nData]; final double[] xKeys = new double[10 * nData]; for (int i = 0; i < nData; ++i) { xValues[i] = i + 1; yValues1[i] = 0.5 * xValues[i] * xValues[i] * xValues[i] - 1.5 * xValues[i] * xValues[i] + xValues[i] - 2.; yValues2[i] = Math.exp(0.1 * xValues[i] - 6.); yValues3[i] = (2. * xValues[i] * xValues[i] + xValues[i]) / (xValues[i] * xValues[i] + xValues[i] * xValues[i] * xValues[i] + 5. * xValues[i] + 2.); yValues1Up[i] = yValues1[i]; yValues2Up[i] = yValues2[i]; yValues3Up[i] = yValues3[i]; yValues1Dw[i] = yValues1[i]; yValues2Dw[i] = yValues2[i]; yValues3Dw[i] = yValues3[i]; } final double xMin = xValues[0]; final double xMax = xValues[nData - 1]; for (int i = 0; i < 10 * nData; ++i) { xKeys[i] = xMin + (xMax - xMin) / (10 * nData - 1) * i; } final double[] resPrim1 = INTERP.interpolate(xValues, yValues1, xKeys).getData(); final double[] resPrim2 = INTERP.interpolate(xValues, yValues2, xKeys).getData(); final double[] resPrim3 = INTERP.interpolate(xValues, yValues3, xKeys).getData(); Interpolator1DDataBundle dataBund1 = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues1); Interpolator1DDataBundle dataBund2 = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues2); Interpolator1DDataBundle dataBund3 = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues3); for (int i = 0; i < 10 * nData; ++i) { final double ref1 = resPrim1[i]; final double ref2 = resPrim2[i]; final double ref3 = resPrim3[i]; assertEquals(ref1, INTERP1D.interpolate(dataBund1, xKeys[i]), 1.e-15 * Math.max(Math.abs(ref1), 1.)); assertEquals(ref2, INTERP1D.interpolate(dataBund2, xKeys[i]), 1.e-15 * Math.max(Math.abs(ref2), 1.)); assertEquals(ref3, INTERP1D.interpolate(dataBund3, xKeys[i]), 1.e-15 * Math.max(Math.abs(ref3), 1.)); } for (int j = 0; j < nData; ++j) { yValues1Up[j] = yValues1[j] * (1. + EPS); yValues2Up[j] = yValues2[j] * (1. + EPS); yValues3Up[j] = yValues3[j] * (1. + EPS); yValues1Dw[j] = yValues1[j] * (1. - EPS); yValues2Dw[j] = yValues2[j] * (1. - EPS); yValues3Dw[j] = yValues3[j] * (1. - EPS); Interpolator1DDataBundle dataBund1Up = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues1Up); Interpolator1DDataBundle dataBund2Up = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues2Up); Interpolator1DDataBundle dataBund3Up = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues3Up); Interpolator1DDataBundle dataBund1Dw = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues1Dw); Interpolator1DDataBundle dataBund2Dw = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues2Dw); Interpolator1DDataBundle dataBund3Dw = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues3Dw); for (int i = 0; i < 10 * nData; ++i) { double res1 = 0.5 * (INTERP1D.interpolate(dataBund1Up, xKeys[i]) - INTERP1D.interpolate(dataBund1Dw, xKeys[i])) / EPS / yValues1[j]; double res2 = 0.5 * (INTERP1D.interpolate(dataBund2Up, xKeys[i]) - INTERP1D.interpolate(dataBund2Dw, xKeys[i])) / EPS / yValues2[j]; double res3 = 0.5 * (INTERP1D.interpolate(dataBund3Up, xKeys[i]) - INTERP1D.interpolate(dataBund3Dw, xKeys[i])) / EPS / yValues3[j]; assertEquals(res1, INTERP1D.getNodeSensitivitiesForValue(dataBund1, xKeys[i])[j], Math.max(Math.abs(yValues1[j]) * EPS, EPS) * 10.); assertEquals(res2, INTERP1D.getNodeSensitivitiesForValue(dataBund2, xKeys[i])[j], Math.max(Math.abs(yValues2[j]) * EPS, EPS) * 10.); assertEquals(res3, INTERP1D.getNodeSensitivitiesForValue(dataBund3, xKeys[i])[j], Math.max(Math.abs(yValues3[j]) * EPS, EPS) * 10.); } yValues1Up[j] = yValues1[j]; yValues2Up[j] = yValues2[j]; yValues3Up[j] = yValues3[j]; yValues1Dw[j] = yValues1[j]; yValues2Dw[j] = yValues2[j]; yValues3Dw[j] = yValues3[j]; } } /** * Bad conditioning data */ @Test public void overShootTest() { final int nData = 10; final double[] xValues = new double[nData]; final double[] yValues1 = new double[] {4., 3., 2., 1., 0.1, 0.1, 1., 2., 3., 4. }; final double[] yValues2 = new double[] {-4., -3., -2., -1., -0.1, -0.1, -1., -2., -3., -4. }; final double[] yValues3 = new double[] {1., 0.01, 0.5, 5., 0.1, 0.2, 0.5, 3., 2., 2. }; final double[] yValues1Up = new double[nData]; final double[] yValues2Up = new double[nData]; final double[] yValues3Up = new double[nData]; final double[] yValues1Dw = new double[nData]; final double[] yValues2Dw = new double[nData]; final double[] yValues3Dw = new double[nData]; final double[] xKeys = new double[10 * nData]; for (int i = 0; i < nData; ++i) { xValues[i] = i + 1; yValues1Up[i] = yValues1[i]; yValues2Up[i] = yValues2[i]; yValues3Up[i] = yValues3[i]; yValues1Dw[i] = yValues1[i]; yValues2Dw[i] = yValues2[i]; yValues3Dw[i] = yValues3[i]; } final double xMin = xValues[0]; final double xMax = xValues[nData - 1]; for (int i = 0; i < 10 * nData; ++i) { xKeys[i] = xMin + (xMax - xMin) / (10 * nData - 1) * i; } final double[] resPrim1 = INTERP.interpolate(xValues, yValues1, xKeys).getData(); final double[] resPrim2 = INTERP.interpolate(xValues, yValues2, xKeys).getData(); final double[] resPrim3 = INTERP.interpolate(xValues, yValues3, xKeys).getData(); Interpolator1DDataBundle dataBund1 = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues1); Interpolator1DDataBundle dataBund2 = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues2); Interpolator1DDataBundle dataBund3 = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues3); for (int i = 0; i < 10 * nData; ++i) { final double ref1 = resPrim1[i]; final double ref2 = resPrim2[i]; final double ref3 = resPrim3[i]; assertEquals(ref1, INTERP1D.interpolate(dataBund1, xKeys[i]), 1.e-15 * Math.max(Math.abs(ref1), 1.)); assertEquals(ref2, INTERP1D.interpolate(dataBund2, xKeys[i]), 1.e-15 * Math.max(Math.abs(ref2), 1.)); assertEquals(ref3, INTERP1D.interpolate(dataBund3, xKeys[i]), 1.e-15 * Math.max(Math.abs(ref3), 1.)); } for (int j = 0; j < nData; ++j) { yValues1Up[j] = yValues1[j] * (1. + EPS); yValues2Up[j] = yValues2[j] * (1. + EPS); yValues3Up[j] = yValues3[j] * (1. + EPS); yValues1Dw[j] = yValues1[j] * (1. - EPS); yValues2Dw[j] = yValues2[j] * (1. - EPS); yValues3Dw[j] = yValues3[j] * (1. - EPS); Interpolator1DDataBundle dataBund1Up = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues1Up); Interpolator1DDataBundle dataBund2Up = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues2Up); Interpolator1DDataBundle dataBund3Up = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues3Up); Interpolator1DDataBundle dataBund1Dw = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues1Dw); Interpolator1DDataBundle dataBund2Dw = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues2Dw); Interpolator1DDataBundle dataBund3Dw = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues3Dw); for (int i = 0; i < 10 * nData; ++i) { double res1 = 0.5 * (INTERP1D.interpolate(dataBund1Up, xKeys[i]) - INTERP1D.interpolate(dataBund1Dw, xKeys[i])) / EPS / yValues1[j]; double res2 = 0.5 * (INTERP1D.interpolate(dataBund2Up, xKeys[i]) - INTERP1D.interpolate(dataBund2Dw, xKeys[i])) / EPS / yValues2[j]; double res3 = 0.5 * (INTERP1D.interpolate(dataBund3Up, xKeys[i]) - INTERP1D.interpolate(dataBund3Dw, xKeys[i])) / EPS / yValues3[j]; assertEquals(res1, INTERP1D.getNodeSensitivitiesForValue(dataBund1, xKeys[i])[j], Math.max(Math.abs(yValues1[j]) * EPS, EPS) * 10.); assertEquals(res2, INTERP1D.getNodeSensitivitiesForValue(dataBund2, xKeys[i])[j], Math.max(Math.abs(yValues2[j]) * EPS, EPS) * 10.); assertEquals(res3, INTERP1D.getNodeSensitivitiesForValue(dataBund3, xKeys[i])[j], Math.max(Math.abs(yValues3[j]) * EPS, EPS) * 10.); } yValues1Up[j] = yValues1[j]; yValues2Up[j] = yValues2[j]; yValues3Up[j] = yValues3[j]; yValues1Dw[j] = yValues1[j]; yValues2Dw[j] = yValues2[j]; yValues3Dw[j] = yValues3[j]; } } /** * Data points line on a straight line */ @Test public void linearTest() { final int nData = 10; final double[] xValues = new double[nData]; double[] yValues1 = new double[nData]; double[] yValues2 = new double[nData]; final double[] yValues1Up = new double[nData]; final double[] yValues2Up = new double[nData]; final double[] yValues1Dw = new double[nData]; final double[] yValues2Dw = new double[nData]; final double[] xKeys = new double[10 * nData]; yValues1 = new double[] {3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0 }; yValues2 = new double[] {-3.5, -2.0, -0.5, 1.0, 2.5, 4.0, 5.5, 7.0, 8.5, 10.0 }; for (int i = 0; i < nData; ++i) { xValues[i] = i + 1; yValues1Up[i] = yValues1[i]; yValues1Dw[i] = yValues1[i]; yValues2Up[i] = yValues2[i]; yValues2Dw[i] = yValues2[i]; } final double xMin = xValues[0]; final double xMax = xValues[nData - 1]; for (int i = 0; i < 10 * nData; ++i) { xKeys[i] = xMin + (xMax - xMin) / (10 * nData - 1) * i; } final double[] resPrim1 = INTERP.interpolate(xValues, yValues1, xKeys).getData(); final double[] resPrim2 = INTERP.interpolate(xValues, yValues2, xKeys).getData(); Interpolator1DDataBundle dataBund1 = INTERP1D.getDataBundle(xValues, yValues1); Interpolator1DDataBundle dataBund2 = INTERP1D.getDataBundle(xValues, yValues2); for (int i = 0; i < 10 * nData; ++i) { final double ref1 = resPrim1[i]; final double ref2 = resPrim2[i]; assertEquals(ref1, INTERP1D.interpolate(dataBund1, xKeys[i]), 1.e-15 * Math.max(Math.abs(ref1), 1.)); assertEquals(ref2, INTERP1D.interpolate(dataBund2, xKeys[i]), 1.e-15 * Math.max(Math.abs(ref2), 1.)); } for (int j = 0; j < nData; ++j) { final double den1 = Math.abs(yValues1[j]) == 0. ? EPS : yValues1[j] * EPS; final double den2 = Math.abs(yValues2[j]) == 0. ? EPS : yValues2[j] * EPS; yValues1Up[j] = Math.abs(yValues1[j]) == 0. ? EPS : yValues1[j] * (1. + EPS); yValues1Dw[j] = Math.abs(yValues1[j]) == 0. ? -EPS : yValues1[j] * (1. - EPS); yValues2Up[j] = Math.abs(yValues2[j]) == 0. ? EPS : yValues2[j] * (1. + EPS); yValues2Dw[j] = Math.abs(yValues2[j]) == 0. ? -EPS : yValues2[j] * (1. - EPS); Interpolator1DDataBundle dataBund1Up = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues1Up); Interpolator1DDataBundle dataBund2Up = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues2Up); Interpolator1DDataBundle dataBund1Dw = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues1Dw); Interpolator1DDataBundle dataBund2Dw = INTERP1D.getDataBundleFromSortedArrays(xValues, yValues2Dw); for (int i = 0; i < 10 * nData; ++i) { double res1 = 0.5 * (INTERP1D.interpolate(dataBund1Up, xKeys[i]) - INTERP1D.interpolate(dataBund1Dw, xKeys[i])) / den1; double res2 = 0.5 * (INTERP1D.interpolate(dataBund2Up, xKeys[i]) - INTERP1D.interpolate(dataBund2Dw, xKeys[i])) / den2; assertEquals(res1, INTERP1D.getNodeSensitivitiesForValue(dataBund1, xKeys[i])[j], Math.max(Math.abs(yValues1[j]) * EPS, EPS) * 10.); assertEquals(res2, INTERP1D.getNodeSensitivitiesForValue(dataBund2, xKeys[i])[j], Math.max(Math.abs(yValues2[j]) * EPS, EPS) * 10.); } yValues1Up[j] = yValues1[j]; yValues1Dw[j] = yValues1[j]; yValues2Up[j] = yValues2[j]; yValues2Dw[j] = yValues2[j]; } } /** * Endpoint condition is not relevant for constrained cubic spline */ @Test(expectedExceptions = IllegalArgumentException.class) public void boundaryConditionTest() { final double[] xValues = new double[] {0., 1., 2., 3., }; final double[] yValues = new double[] {0., 1., 2., 3., }; INTERP1D.getDataBundle(xValues, yValues, 0., 0.); } /** * */ @Test(expectedExceptions = IllegalArgumentException.class) public void boundaryConditionSortedTest() { final double[] xValues = new double[] {0., 1., 2., 3., }; final double[] yValues = new double[] {0., 1., 2., 3., }; INTERP1D.getDataBundleFromSortedArrays(xValues, yValues, 0., 0.); } }