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A Java's Collaborative Filtering library to carry out experiments in research of Collaborative Filtering based Recommender Systems. The library has been designed from researchers to researchers.
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/*
* 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
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;
}
}
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