/*
* 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.optimization;
import org.apache.commons.math3.analysis.MultivariateFunction;
This interface is mainly intended to enforce the internal coherence of
Commons-FastMath. Users of the API are advised to base their code on
the following interfaces:
Type parameters: - <FUNC> – Type of the objective function to be optimized.
Deprecated: As of 3.1 (to be removed in 4.0). Since: 3.0
/**
* This interface is mainly intended to enforce the internal coherence of
* Commons-FastMath. Users of the API are advised to base their code on
* the following interfaces:
* <ul>
* <li>{@link org.apache.commons.math3.optimization.MultivariateOptimizer}</li>
* <li>{@link org.apache.commons.math3.optimization.MultivariateDifferentiableOptimizer}</li>
* </ul>
*
* @param <FUNC> Type of the objective function to be optimized.
*
* @deprecated As of 3.1 (to be removed in 4.0).
* @since 3.0
*/
@Deprecated
public interface BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction>
extends BaseMultivariateOptimizer<FUNC> {
Optimize an objective function.
Params: - f – Objective function.
- goalType – Type of optimization goal: either
GoalType.MAXIMIZE
or GoalType.MINIMIZE
. - startPoint – Start point for optimization.
- maxEval – Maximum number of function evaluations.
- lowerBound – Lower bound for each of the parameters.
- upperBound – Upper bound for each of the parameters.
Throws: - DimensionMismatchException –
if the array sizes are wrong.
- TooManyEvaluationsException –
if the maximal number of evaluations is exceeded.
- NullArgumentException – if
f
, goalType
or startPoint
is null
. - NumberIsTooSmallException – if any
of the initial values is less than its lower bound.
- NumberIsTooLargeException – if any
of the initial values is greater than its upper bound.
Returns: the point/value pair giving the optimal value for objective
function.
/**
* Optimize an objective function.
*
* @param f Objective function.
* @param goalType Type of optimization goal: either
* {@link GoalType#MAXIMIZE} or {@link GoalType#MINIMIZE}.
* @param startPoint Start point for optimization.
* @param maxEval Maximum number of function evaluations.
* @param lowerBound Lower bound for each of the parameters.
* @param upperBound Upper bound for each of the parameters.
* @return the point/value pair giving the optimal value for objective
* function.
* @throws org.apache.commons.math3.exception.DimensionMismatchException
* if the array sizes are wrong.
* @throws org.apache.commons.math3.exception.TooManyEvaluationsException
* if the maximal number of evaluations is exceeded.
* @throws org.apache.commons.math3.exception.NullArgumentException if
* {@code f}, {@code goalType} or {@code startPoint} is {@code null}.
* @throws org.apache.commons.math3.exception.NumberIsTooSmallException if any
* of the initial values is less than its lower bound.
* @throws org.apache.commons.math3.exception.NumberIsTooLargeException if any
* of the initial values is greater than its upper bound.
*/
PointValuePair optimize(int maxEval, FUNC f, GoalType goalType,
double[] startPoint,
double[] lowerBound, double[] upperBound);
}