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Java example source code file (AbstractUnivariateDifferentiableSolver.java)
The AbstractUnivariateDifferentiableSolver.java Java example source code/* * 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.differentiation.DerivativeStructure; import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; import org.apache.commons.math3.exception.TooManyEvaluationsException; /** * Provide a default implementation for several functions useful to generic * solvers. * * @since 3.1 */ public abstract class AbstractUnivariateDifferentiableSolver extends BaseAbstractUnivariateSolver<UnivariateDifferentiableFunction> implements UnivariateDifferentiableSolver { /** Function to solve. */ private UnivariateDifferentiableFunction function; /** * Construct a solver with given absolute accuracy. * * @param absoluteAccuracy Maximum absolute error. */ protected AbstractUnivariateDifferentiableSolver(final double absoluteAccuracy) { super(absoluteAccuracy); } /** * Construct a solver with given accuracies. * * @param relativeAccuracy Maximum relative error. * @param absoluteAccuracy Maximum absolute error. * @param functionValueAccuracy Maximum function value error. */ protected AbstractUnivariateDifferentiableSolver(final double relativeAccuracy, final double absoluteAccuracy, final double functionValueAccuracy) { super(relativeAccuracy, absoluteAccuracy, functionValueAccuracy); } /** * Compute the objective function value. * * @param point Point at which the objective function must be evaluated. * @return the objective function value and derivative at specified point. * @throws TooManyEvaluationsException * if the maximal number of evaluations is exceeded. */ protected DerivativeStructure computeObjectiveValueAndDerivative(double point) throws TooManyEvaluationsException { incrementEvaluationCount(); return function.value(new DerivativeStructure(1, 1, 0, point)); } /** * {@inheritDoc} */ @Override protected void setup(int maxEval, UnivariateDifferentiableFunction f, double min, double max, double startValue) { super.setup(maxEval, f, min, max, startValue); function = f; } } Other Java examples (source code examples)Here is a short list of links related to this Java AbstractUnivariateDifferentiableSolver.java source code file: |
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