/**
* Copyright (C) 2014 - present by OpenGamma Inc. and the OpenGamma group of companies
*
* Please see distribution for license.
*/
package com.opengamma.strata.math.impl.function;
import static org.testng.AssertJUnit.assertEquals;
import java.util.function.Function;
import org.testng.annotations.Test;
import com.opengamma.strata.collect.array.DoubleArray;
/**
* Set up a simple parameterised curve
* (based on the function a * Math.sin(b * x) + c, where a, b, & c are the parameters)
* and check the finite difference sensitivity (the default behaviour of getYParameterSensitivity)
* agrees with the analytic calculation for a range of points along the curve.
*/
@Test
public class ParameterizedCurveTest {
@Test
public void test() {
/**
* Take the form $y = a\sin(bx) + c$
*/
final ParameterizedCurve testCurve = new ParameterizedCurve() {
@Override
public Double evaluate(final Double x, final DoubleArray parameters) {
assertEquals(3, parameters.size());
double a = parameters.get(0);
double b = parameters.get(1);
double c = parameters.get(2);
return a * Math.sin(b * x) + c;
}
@Override
public int getNumberOfParameters() {
return 3;
}
};
ParameterizedFunction<Double, DoubleArray, DoubleArray> parmSense =
new ParameterizedFunction<Double, DoubleArray, DoubleArray>() {
@Override
public DoubleArray evaluate(Double x, DoubleArray parameters) {
double a = parameters.get(0);
double b = parameters.get(1);
DoubleArray res = DoubleArray.of(Math.sin(b * x), x * a * Math.cos(b * x), 1.0);
return res;
}
@Override
public int getNumberOfParameters() {
return 0;
}
};
DoubleArray params = DoubleArray.of(0.7, -0.3, 1.2);
Function<Double, DoubleArray> paramsSenseFD = testCurve.getYParameterSensitivity(params);
Function<Double, DoubleArray> paramsSenseAnal = parmSense.asFunctionOfArguments(params);
for (int i = 0; i < 20; i++) {
double x = Math.PI * (-0.5 + i / 19.);
DoubleArray s1 = paramsSenseAnal.apply(x);
DoubleArray s2 = paramsSenseFD.apply(x);
for (int j = 0; j < 3; j++) {
assertEquals(s1.get(j), s2.get(j), 1e-10);
}
}
}
}