com.opengamma.strata.math.impl.interpolation.CubicSplineNaturalSolver Maven / Gradle / Ivy
/*
* 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.array.DoubleMatrix;
/**
* Solves cubic spline problem with natural endpoint conditions, where the second derivative at the endpoints is 0.
*/
public class CubicSplineNaturalSolver extends CubicSplineSolver {
@Override
public DoubleMatrix solve(final double[] xValues, final double[] yValues) {
final double[] intervals = getDiffs(xValues);
return getCommonSplineCoeffs(xValues, yValues, intervals, matrixEqnSolver(getMatrix(intervals), getCommonVectorElements(yValues, intervals)));
}
@Override
public DoubleMatrix[] solveWithSensitivity(final double[] xValues, final double[] yValues) {
final double[] intervals = getDiffs(xValues);
final double[][] toBeInv = getMatrix(intervals);
final double[] commonVector = getCommonVectorElements(yValues, intervals);
final double[][] commonVecSensitivity = getCommonVectorSensitivity(intervals);
return getCommonCoefficientWithSensitivity(xValues, yValues, intervals, toBeInv, commonVector, commonVecSensitivity);
}
@Override
public DoubleMatrix[] solveMultiDim(final double[] xValues, final DoubleMatrix yValuesMatrix) {
final int dim = yValuesMatrix.rowCount();
DoubleMatrix[] coefMatrix = new DoubleMatrix[dim];
for (int i = 0; i < dim; ++i) {
coefMatrix[i] = solve(xValues, yValuesMatrix.row(i).toArray());
}
return coefMatrix;
}
/**
* Cubic spline is obtained by solving a linear problem Ax=b where A is a square matrix and x,b are vector
* @param intervals {xValues[1]-xValues[0], xValues[2]-xValues[1],...}
* @return Matrix A
*/
private double[][] getMatrix(final double[] intervals) {
final int nData = intervals.length + 1;
double[][] res = new double[nData][nData];
res = getCommonMatrixElements(intervals);
res[0][0] = 1.;
res[nData - 1][nData - 1] = 1.;
return res;
}
}
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