Java tutorial
/** * Copyright (C) 2015 Tobias Uhlig (tobias.uhlig@unibw.de) * * Licensed 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 de.termininistic.serein.examples.benchmarks.functions.unimodal; import org.apache.commons.math3.linear.ArrayRealVector; import org.apache.commons.math3.linear.RealVector; import de.termininistic.serein.examples.benchmarks.functions.BenchmarkFunction; import de.termininistic.serein.examples.benchmarks.functions.Domain; public class RosenbrockFunction implements BenchmarkFunction { public final static Domain DEFAULT_DOMAIN = new Domain(-5, 10); private final Domain domain; public RosenbrockFunction() { this(DEFAULT_DOMAIN); } public RosenbrockFunction(Domain domain) { this.domain = domain; } @Override public Domain getDomain() { return domain; } @Override public RealVector getOptimum(int dimension) { return new ArrayRealVector(dimension, 1); } @Override public double map(RealVector v) { double fx = Double.MAX_VALUE; double[] x = v.toArray(); int n = x.length; fx = 0.0; for (int i = 0; i < n - 1; i++) { double term1 = (x[i + 1] - x[i] * x[i]); fx += 100 * term1 * term1 + (x[i] - 1) * (x[i] - 1); } return fx; } }