/*
 * 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:

 
DifferentiableMultivariateVectorOptimizer

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-Math. Users of the API are advised to base their code on
 * the following interfaces:
 * <ul>
 *  <li>{@link org.apache.commons.math3.optimization.DifferentiableMultivariateVectorOptimizer}</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 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
∑weighti(objectivei - targeti)2
Params:
f – Objective function.
target – Target value for the objective functions at optimum.
weight – Weights for the least squares cost computation.
startPoint – Start point for optimization.
maxEval – Maximum number of function evaluations.
Throws:
DimensionMismatchException – 
if the start point dimension is wrong.
TooManyEvaluationsException – 
if the maximal number of evaluations is exceeded.
NullArgumentException – if any argument is null.
Returns:
the point/value pair giving the optimal value for objective
function.
Deprecated:
As of 3.1. In 4.0, this will be replaced by the declaration corresponding to this method./**
     * Optimize an objective function.
     * Optimization is considered to be a weighted least-squares minimization.
     * The cost function to be minimized is
     * <code>&sum;weight<sub>i</sub>(objective<sub>i</sub> - target<sub>i</sub>)<sup>2</sup></code>
     *
     * @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);
}