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Java example source code file (OptimumImpl.java)

This example Java source code file (OptimumImpl.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.

Learn more about this Java project at its project page.

Java - Java tags/keywords

evaluation, optimumimpl, realmatrix, realvector

The OptimumImpl.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.fitting.leastsquares;

import org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum;
import org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation;
import org.apache.commons.math3.linear.RealMatrix;
import org.apache.commons.math3.linear.RealVector;

/**
 * A pedantic implementation of {@link Optimum}.
 *
 * @since 3.3
 */
class OptimumImpl implements Optimum {

    /** abscissa and ordinate */
    private final Evaluation value;
    /** number of evaluations to compute this optimum */
    private final int evaluations;
    /** number of iterations to compute this optimum */
    private final int iterations;

    /**
     * Construct an optimum from an evaluation and the values of the counters.
     *
     * @param value       the function value
     * @param evaluations number of times the function was evaluated
     * @param iterations  number of iterations of the algorithm
     */
    OptimumImpl(final Evaluation value, final int evaluations, final int iterations) {
        this.value = value;
        this.evaluations = evaluations;
        this.iterations = iterations;
    }

    /* auto-generated implementations */

    /** {@inheritDoc} */
    public int getEvaluations() {
        return evaluations;
    }

    /** {@inheritDoc} */
    public int getIterations() {
        return iterations;
    }

    /** {@inheritDoc} */
    public RealMatrix getCovariances(double threshold) {
        return value.getCovariances(threshold);
    }

    /** {@inheritDoc} */
    public RealVector getSigma(double covarianceSingularityThreshold) {
        return value.getSigma(covarianceSingularityThreshold);
    }

    /** {@inheritDoc} */
    public double getRMS() {
        return value.getRMS();
    }

    /** {@inheritDoc} */
    public RealMatrix getJacobian() {
        return value.getJacobian();
    }

    /** {@inheritDoc} */
    public double getCost() {
        return value.getCost();
    }

    /** {@inheritDoc} */
    public RealVector getResiduals() {
        return value.getResiduals();
    }

    /** {@inheritDoc} */
    public RealVector getPoint() {
        return value.getPoint();
    }
}

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