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Java example source code file (PolynomialFitter.java)

This example Java source code file (PolynomialFitter.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

deprecated, polynomialfitter

The PolynomialFitter.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;

import org.apache.commons.math3.analysis.polynomials.PolynomialFunction;
import org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer;

/**
 * Polynomial fitting is a very simple case of {@link CurveFitter curve fitting}.
 * The estimated coefficients are the polynomial coefficients (see the
 * {@link #fit(double[]) fit} method).
 *
 * @since 2.0
 * @deprecated As of 3.3. Please use {@link PolynomialCurveFitter} and
 * {@link WeightedObservedPoints} instead.
 */
@Deprecated
public class PolynomialFitter extends CurveFitter<PolynomialFunction.Parametric> {
    /**
     * Simple constructor.
     *
     * @param optimizer Optimizer to use for the fitting.
     */
    public PolynomialFitter(MultivariateVectorOptimizer optimizer) {
        super(optimizer);
    }

    /**
     * Get the coefficients of the polynomial fitting the weighted data points.
     * The degree of the fitting polynomial is {@code guess.length - 1}.
     *
     * @param guess First guess for the coefficients. They must be sorted in
     * increasing order of the polynomial's degree.
     * @param maxEval Maximum number of evaluations of the polynomial.
     * @return the coefficients of the polynomial that best fits the observed points.
     * @throws org.apache.commons.math3.exception.TooManyEvaluationsException if
     * the number of evaluations exceeds {@code maxEval}.
     * @throws org.apache.commons.math3.exception.ConvergenceException
     * if the algorithm failed to converge.
     */
    public double[] fit(int maxEval, double[] guess) {
        return fit(maxEval, new PolynomialFunction.Parametric(), guess);
    }

    /**
     * Get the coefficients of the polynomial fitting the weighted data points.
     * The degree of the fitting polynomial is {@code guess.length - 1}.
     *
     * @param guess First guess for the coefficients. They must be sorted in
     * increasing order of the polynomial's degree.
     * @return the coefficients of the polynomial that best fits the observed points.
     * @throws org.apache.commons.math3.exception.ConvergenceException
     * if the algorithm failed to converge.
     */
    public double[] fit(double[] guess) {
        return fit(new PolynomialFunction.Parametric(), guess);
    }
}

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