/*
* 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.math;
/**
* Provide a default implementation for several functions useful to generic
* converging algorithms.
*
* @version $Revision: 811685 $ $Date: 2009-09-05 13:36:48 -0400 (Sat, 05 Sep 2009) $
* @since 2.0
*/
public abstract class ConvergingAlgorithmImpl implements ConvergingAlgorithm {
/**
* Maximum absolute error.
*/
protected double absoluteAccuracy;
/**
* Maximum relative error.
*/
protected double relativeAccuracy;
/**
* Maximum number of iterations.
*/
protected int maximalIterationCount;
/**
* Default maximum absolute error.
*/
protected double defaultAbsoluteAccuracy;
/**
* Default maximum relative error.
*/
protected double defaultRelativeAccuracy;
/**
* Default maximum number of iterations.
*/
protected int defaultMaximalIterationCount;
// Mainly for test framework.
/**
* The last iteration count.
*/
protected int iterationCount;
/**
* Construct an algorithm with given iteration count and accuracy.
*
* @param defaultAbsoluteAccuracy maximum absolute error
* @param defaultMaximalIterationCount maximum number of iterations
* @throws IllegalArgumentException if f is null or the
* defaultAbsoluteAccuracy is not valid
*/
protected ConvergingAlgorithmImpl(final int defaultMaximalIterationCount,
final double defaultAbsoluteAccuracy) {
this.defaultAbsoluteAccuracy = defaultAbsoluteAccuracy;
this.defaultRelativeAccuracy = 1.0e-14;
this.absoluteAccuracy = defaultAbsoluteAccuracy;
this.relativeAccuracy = defaultRelativeAccuracy;
this.defaultMaximalIterationCount = defaultMaximalIterationCount;
this.maximalIterationCount = defaultMaximalIterationCount;
this.iterationCount = 0;
}
/**
* {@inheritDoc}
*/
@Override
public int getIterationCount() {
return iterationCount;
}
/**
* {@inheritDoc}
*/
@Override
public void setAbsoluteAccuracy(double accuracy) {
absoluteAccuracy = accuracy;
}
/**
* {@inheritDoc}
*/
@Override
public double getAbsoluteAccuracy() {
return absoluteAccuracy;
}
/**
* {@inheritDoc}
*/
@Override
public void resetAbsoluteAccuracy() {
absoluteAccuracy = defaultAbsoluteAccuracy;
}
/**
* {@inheritDoc}
*/
@Override
public void setMaximalIterationCount(int count) {
maximalIterationCount = count;
}
/**
* {@inheritDoc}
*/
@Override
public int getMaximalIterationCount() {
return maximalIterationCount;
}
/**
* {@inheritDoc}
*/
@Override
public void resetMaximalIterationCount() {
maximalIterationCount = defaultMaximalIterationCount;
}
/**
* {@inheritDoc}
*/
@Override
public void setRelativeAccuracy(double accuracy) {
relativeAccuracy = accuracy;
}
/**
* {@inheritDoc}
*/
@Override
public double getRelativeAccuracy() {
return relativeAccuracy;
}
/**
* {@inheritDoc}
*/
@Override
public void resetRelativeAccuracy() {
relativeAccuracy = defaultRelativeAccuracy;
}
}