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Java example source code file (BaseMultivariateVectorOptimizer.java)

This example Java source code file (BaseMultivariateVectorOptimizer.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

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Java - Java tags/keywords

basemultivariatevectoroptimizer, baseoptimizer, deprecated, multivariatevectorfunction, pointvectorvaluepair

The BaseMultivariateVectorOptimizer.java Java example source code

/*
 * 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.MultivariateVectorFunction;

/**
 * This interface is mainly intended to enforce the internal coherence of
 * Commons-Math. Users of the API are advised to base their code on
 * the following interfaces:
 * <ul>
 *  <li>{@link org.apache.commons.math3.optimization.DifferentiableMultivariateVectorOptimizer}
 * </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 BaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction>
    extends BaseOptimizer<PointVectorValuePair> {
    /**
     * Optimize an objective function.
     * Optimization is considered to be a weighted least-squares minimization.
     * The cost function to be minimized is
     * <code>∑weighti(objectivei - targeti)2
     *
     * @param f Objective function.
     * @param target Target value for the objective functions at optimum.
     * @param weight Weights for the least squares cost computation.
     * @param startPoint Start point for optimization.
     * @return the point/value pair giving the optimal value for objective
     * function.
     * @param maxEval Maximum number of function evaluations.
     * @throws org.apache.commons.math3.exception.DimensionMismatchException
     * if the start point dimension is wrong.
     * @throws org.apache.commons.math3.exception.TooManyEvaluationsException
     * if the maximal number of evaluations is exceeded.
     * @throws org.apache.commons.math3.exception.NullArgumentException if
     * any argument is {@code null}.
     * @deprecated As of 3.1. In 4.0, this will be replaced by the declaration
     * corresponding to this {@link org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer#optimize(int,MultivariateVectorFunction,OptimizationData[]) method}.
     */
    @Deprecated
    PointVectorValuePair optimize(int maxEval, FUNC f, double[] target,
                                     double[] weight, double[] startPoint);
}

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