org.apache.commons.math3.optimization.BaseMultivariateVectorOptimizer Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of cf4j-recsys Show documentation

A Java's Collaborative Filtering library to carry out experiments in research of Collaborative Filtering based Recommender Systems. The library has been designed from researchers to researchers.

The newest version!

/*
 * 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:
 * 
 *  {@link org.apache.commons.math3.optimization.DifferentiableMultivariateVectorOptimizer}
 * 
 *
 * @param  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
    extends BaseOptimizer {
    /**
     * Optimize an objective function.
     * Optimization is considered to be a weighted least-squares minimization.
     * The cost function to be minimized is
     * ∑weight_i(objective_i - target_i)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);
}