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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.optim.nonlinear.scalar;
import org.apache.commons.math3.analysis.MultivariateFunction;
import org.apache.commons.math3.optim.BaseMultivariateOptimizer;
import org.apache.commons.math3.optim.OptimizationData;
import org.apache.commons.math3.optim.ConvergenceChecker;
import org.apache.commons.math3.optim.PointValuePair;
import org.apache.commons.math3.exception.TooManyEvaluationsException;
/**
* Base class for a multivariate scalar function optimizer.
*
* @since 3.1
*/
public abstract class MultivariateOptimizer
extends BaseMultivariateOptimizer<PointValuePair> {
/** Objective function. */
private MultivariateFunction function;
/** Type of optimization. */
private GoalType goal;
/**
* @param checker Convergence checker.
*/
protected MultivariateOptimizer(ConvergenceChecker<PointValuePair> checker) {
super(checker);
}
/**
* {@inheritDoc}
*
* @param optData Optimization data. In addition to those documented in
* {@link BaseMultivariateOptimizer#parseOptimizationData(OptimizationData[])
* BaseMultivariateOptimizer}, this method will register the following data:
* <ul>
* <li>{@link ObjectiveFunction}</li>
* <li>{@link GoalType}</li>
* </ul>
* @return {@inheritDoc}
* @throws TooManyEvaluationsException if the maximal number of
* evaluations is exceeded.
*/
@Override
public PointValuePair optimize(OptimizationData... optData)
throws TooManyEvaluationsException {
// Set up base class and perform computation.
return super.optimize(optData);
}
/**
* Scans the list of (required and optional) optimization data that
* characterize the problem.
*
* @param optData Optimization data.
* The following data will be looked for:
* <ul>
* <li>{@link ObjectiveFunction}</li>
* <li>{@link GoalType}</li>
* </ul>
*/
@Override
protected void parseOptimizationData(OptimizationData... optData) {
// Allow base class to register its own data.
super.parseOptimizationData(optData);
// The existing values (as set by the previous call) are reused if
// not provided in the argument list.
for (OptimizationData data : optData) {
if (data instanceof GoalType) {
goal = (GoalType) data;
continue;
}
if (data instanceof ObjectiveFunction) {
function = ((ObjectiveFunction) data).getObjectiveFunction();
continue;
}
}
}
/**
* @return the optimization type.
*/
public GoalType getGoalType() {
return goal;
}
/**
* Computes the objective function value.
* This method <em>must</em> be called by subclasses to enforce the
* evaluation counter limit.
*
* @param params Point at which the objective function must be evaluated.
* @return the objective function value at the specified point.
* @throws TooManyEvaluationsException if the maximal number of
* evaluations is exceeded.
*/
public double computeObjectiveValue(double[] params) {
super.incrementEvaluationCount();
return function.value(params);
}
}
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