/** * Copyright (C) 2013 - present by OpenGamma Inc. and the OpenGamma group of companies * * Please see distribution for license. */ package com.opengamma.strata.math.impl.interpolation; import com.opengamma.strata.collect.ArgChecker; import com.opengamma.strata.collect.array.DoubleArray; import com.opengamma.strata.collect.array.DoubleMatrix; /** * Abstract class for interpolations based on 2d piecewise polynomial functions */ public abstract class PiecewisePolynomialInterpolator2D { /** * Given a set of data points (x0Values_i, x1Values_j, yValues_{ij}), 2d spline interpolation is returned such that f(x0Values_i, x1Values_j) = yValues_{ij} * @param x0Values the values * @param x1Values the values * @param yValues the values * @return {@link PiecewisePolynomialResult2D} containing positions of knots in x0 direction, positions of knots in x1 direction, coefficients of interpolant, * number of intervals in x0 direction, number of intervals in x1 direction, order of polynomial function */ public abstract PiecewisePolynomialResult2D interpolate(double[] x0Values, double[] x1Values, double[][] yValues); /** * @param x0Values the values * @param x1Values the values * @param yValues the values * @param x0Keys the keys * @param x1Keys the keys * @return Values of 2D interpolant at (x0Key_i, x1Keys_j) */ public DoubleMatrix interpolate( double[] x0Values, double[] x1Values, double[][] yValues, double[] x0Keys, double[] x1Keys) { ArgChecker.notNull(x0Keys, "x0Keys"); ArgChecker.notNull(x1Keys, "x1Keys"); int n0Keys = x0Keys.length; int n1Keys = x1Keys.length; for (int i = 0; i < n0Keys; ++i) { ArgChecker.isFalse(Double.isNaN(x0Keys[i]), "x0Keys containing NaN"); ArgChecker.isFalse(Double.isInfinite(x0Keys[i]), "x0Keys containing Infinity"); } for (int i = 0; i < n1Keys; ++i) { ArgChecker.isFalse(Double.isNaN(x1Keys[i]), "x1Keys containing NaN"); ArgChecker.isFalse(Double.isInfinite(x1Keys[i]), "x1Keys containing Infinity"); } PiecewisePolynomialResult2D result = this.interpolate(x0Values, x1Values, yValues); DoubleArray knots0 = result.getKnots0(); DoubleArray knots1 = result.getKnots1(); int nKnots0 = knots0.size(); int nKnots1 = knots1.size(); double[][] res = new double[n0Keys][n1Keys]; for (int i = 0; i < n0Keys; ++i) { for (int j = 0; j < n1Keys; ++j) { int ind0 = 0; int ind1 = 0; for (int k = 1; k < nKnots0 - 1; ++k) { if (x0Keys[i] >= knots0.get(k)) { ind0 = k; } } for (int k = 1; k < nKnots1 - 1; ++k) { if (x1Keys[j] >= knots1.get(k)) { ind1 = k; } } res[i][j] = getValue(result.getCoefs()[ind0][ind1], x0Keys[i], x1Keys[j], knots0.get(ind0), knots1.get(ind1)); ArgChecker.isFalse(Double.isInfinite(res[i][j]), "Too large input"); ArgChecker.isFalse(Double.isNaN(res[i][j]), "Too large input"); } } return DoubleMatrix.copyOf(res); } /** * @param x0Values the values * @param x1Values the values * @param yValues the values * @param x0Key the key * @param x1Key the key * @return Value of 2D interpolant at (x0Key, x1Key) */ public double interpolate(double[] x0Values, double[] x1Values, double[][] yValues, double x0Key, double x1Key) { PiecewisePolynomialResult2D result = this.interpolate(x0Values, x1Values, yValues); ArgChecker.isFalse(Double.isNaN(x0Key), "x0Key containing NaN"); ArgChecker.isFalse(Double.isInfinite(x0Key), "x0Key containing Infinity"); ArgChecker.isFalse(Double.isNaN(x1Key), "x1Key containing NaN"); ArgChecker.isFalse(Double.isInfinite(x1Key), "x1Key containing Infinity"); DoubleArray knots0 = result.getKnots0(); DoubleArray knots1 = result.getKnots1(); int nKnots0 = knots0.size(); int nKnots1 = knots1.size(); int ind0 = 0; int ind1 = 0; for (int k = 1; k < nKnots0 - 1; ++k) { if (x0Key >= knots0.get(k)) { ind0 = k; } } for (int i = 1; i < nKnots1 - 1; ++i) { if (x1Key >= knots1.get(i)) { ind1 = i; } } double res = getValue(result.getCoefs()[ind0][ind1], x0Key, x1Key, knots0.get(ind0), knots1.get(ind1)); ArgChecker.isFalse(Double.isInfinite(res), "Too large input"); ArgChecker.isFalse(Double.isNaN(res), "Too large input"); return res; } /** * @param coefMat the coefMat * @param x0 the x0 * @param x1 the x1 * @param leftKnot0 the leftKnot0 * @param leftKnot1 the leftKnot1 * @return sum_{i=0}^{order0-1} sum_{j=0}^{order1-1} coefMat_{ij} (x0-leftKnots0)^{order0-1-i} (x1-leftKnots1)^{order0-1-j} */ protected double getValue(DoubleMatrix coefMat, double x0, double x1, double leftKnot0, double leftKnot1) { int order0 = coefMat.rowCount(); int order1 = coefMat.columnCount(); double x0Mod = x0 - leftKnot0; double x1Mod = x1 - leftKnot1; double res = 0.; for (int i = 0; i < order0; ++i) { for (int j = 0; j < order1; ++j) { res += coefMat.get(order0 - i - 1, order1 - j - 1) * Math.pow(x0Mod, i) * Math.pow(x1Mod, j); } } return res; } }