/*
* 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.solvers;
import org.apache.commons.math3.analysis.UnivariateFunction;
import org.apache.commons.math3.exception.ConvergenceException;
import org.apache.commons.math3.util.FastMath;
import org.junit.Test;
import org.junit.Assert;
/**
* Test case for {@link RegulaFalsiSolver Regula Falsi} solver.
*
*/
public final class RegulaFalsiSolverTest extends BaseSecantSolverAbstractTest {
/** {@inheritDoc} */
@Override
protected UnivariateSolver getSolver() {
return new RegulaFalsiSolver();
}
/** {@inheritDoc} */
@Override
protected int[] getQuinticEvalCounts() {
// While the Regula Falsi method guarantees convergence, convergence
// may be extremely slow. The last test case does not converge within
// even a million iterations. As such, it was disabled.
return new int[] {3, 7, 8, 19, 18, 11, 67, 55, 288, 151, -1};
}
@Test(expected=ConvergenceException.class)
public void testIssue631() {
final UnivariateFunction f = new UnivariateFunction() {
/** {@inheritDoc} */
public double value(double x) {
return FastMath.exp(x) - FastMath.pow(Math.PI, 3.0);
}
};
final UnivariateSolver solver = new RegulaFalsiSolver();
final double root = solver.solve(3624, f, 1, 10);
Assert.assertEquals(3.4341896575482003, root, 1e-15);
}
}