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Java example source code file (LeastSquaresOptimizer.java)

This example Java source code file (LeastSquaresOptimizer.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

leastsquaresoptimizer, optimum

The LeastSquaresOptimizer.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,
 * See the License for the specific language governing permissions and
 * limitations under the License.
package org.apache.commons.math3.fitting.leastsquares;

 * An algorithm that can be applied to a non-linear least squares problem.
 * @since 3.3
public interface LeastSquaresOptimizer {

     * Solve the non-linear least squares problem.
     * @param leastSquaresProblem the problem definition, including model function and
     *                            convergence criteria.
     * @return The optimum.
    Optimum optimize(LeastSquaresProblem leastSquaresProblem);

     * The optimum found by the optimizer. This object contains the point, its value, and
     * some metadata.
    //TODO Solution?
    interface Optimum extends LeastSquaresProblem.Evaluation {

         * Get the number of times the model was evaluated in order to produce this
         * optimum.
         * @return the number of model (objective) function evaluations
        int getEvaluations();

         * Get the number of times the algorithm iterated in order to produce this
         * optimum. In general least squares it is common to have one {@link
         * #getEvaluations() evaluation} per iterations.
         * @return the number of iterations
        int getIterations();



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