/*
* 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.integration.gauss;
import org.apache.commons.math3.analysis.function.Cos;
import org.apache.commons.math3.analysis.function.Inverse;
import org.apache.commons.math3.analysis.function.Log;
import org.apache.commons.math3.analysis.UnivariateFunction;
import org.junit.Test;
import org.junit.Assert;
/**
* Test of the {@link LegendreHighPrecisionRuleFactory}.
*
*/
public class LegendreHighPrecisionTest {
private static GaussIntegratorFactory factory = new GaussIntegratorFactory();
@Test
public void testCos() {
final UnivariateFunction cos = new Cos();
final GaussIntegrator integrator = factory.legendreHighPrecision(7, 0, Math.PI / 2);
final double s = integrator.integrate(cos);
// System.out.println("s=" + s + " e=" + 1);
Assert.assertEquals(1, s, Math.ulp(1d));
}
@Test
public void testInverse() {
final UnivariateFunction inv = new Inverse();
final UnivariateFunction log = new Log();
final double lo = 12.34;
final double hi = 456.78;
final GaussIntegrator integrator = factory.legendreHighPrecision(60, lo, hi);
final double s = integrator.integrate(inv);
final double expected = log.value(hi) - log.value(lo);
// System.out.println("s=" + s + " e=" + expected);
Assert.assertEquals(expected, s, 1e-15);
}
}