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* Licensed to the Apache Software Foundation (ASF) under one or more
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* 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,
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* 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.DifferentiableUnivariateFunction;
import org.apache.commons.math3.analysis.UnivariateFunction;
import org.apache.commons.math3.exception.TooManyEvaluationsException;
/**
* Provide a default implementation for several functions useful to generic
* solvers.
*
* @since 3.0
* @deprecated as of 3.1, replaced by {@link AbstractUnivariateDifferentiableSolver}
*/
@Deprecated
public abstract class AbstractDifferentiableUnivariateSolver
extends BaseAbstractUnivariateSolver
implements DifferentiableUnivariateSolver {
/** Derivative of the function to solve. */
private UnivariateFunction functionDerivative;
/**
* Construct a solver with given absolute accuracy.
*
* @param absoluteAccuracy Maximum absolute error.
*/
protected AbstractDifferentiableUnivariateSolver(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 AbstractDifferentiableUnivariateSolver(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 at specified point.
* @throws TooManyEvaluationsException if the maximal number of evaluations is exceeded.
*/
protected double computeDerivativeObjectiveValue(double point)
throws TooManyEvaluationsException {
incrementEvaluationCount();
return functionDerivative.value(point);
}
/**
* {@inheritDoc}
*/
@Override
protected void setup(int maxEval, DifferentiableUnivariateFunction f,
double min, double max, double startValue) {
super.setup(maxEval, f, min, max, startValue);
functionDerivative = f.derivative();
}
}