

Java example source code file (PolynomialFitter.java)
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/LICENSE2.0 * * 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.fitting; import org.apache.commons.math3.analysis.polynomials.PolynomialFunction; import org.apache.commons.math3.optimization.DifferentiableMultivariateVectorOptimizer; /** * 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). * * @deprecated As of 3.1 (to be removed in 4.0). * @since 2.0 */ @Deprecated public class PolynomialFitter extends CurveFitter<PolynomialFunction.Parametric> { /** Polynomial degree. * @deprecated */ @Deprecated private final int degree; /** * Simple constructor. * <p>The polynomial fitter built this way are complete polynomials, * ie. a ndegree polynomial has n+1 coefficients.</p> * * @param degree Maximal degree of the polynomial. * @param optimizer Optimizer to use for the fitting. * @deprecated Since 3.1 (to be removed in 4.0). Please use * {@link #PolynomialFitter(DifferentiableMultivariateVectorOptimizer)} instead. */ @Deprecated public PolynomialFitter(int degree, final DifferentiableMultivariateVectorOptimizer optimizer) { super(optimizer); this.degree = degree; } /** * Simple constructor. * * @param optimizer Optimizer to use for the fitting. * @since 3.1 */ public PolynomialFitter(DifferentiableMultivariateVectorOptimizer optimizer) { super(optimizer); degree = 1; // To avoid compilation error until the instance variable is removed. } /** * Get the polynomial fitting the weighted (x, y) points. * * @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. * @deprecated Since 3.1 (to be removed in 4.0). Please use {@link #fit(double[])} instead. */ @Deprecated public double[] fit() { return fit(new PolynomialFunction.Parametric(), new double[degree + 1]); } /** * 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. * @since 3.1 */ 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. * @since 3.1 */ public double[] fit(double[] guess) { return fit(new PolynomialFunction.Parametric(), guess); } } Other Java examples (source code examples)Here is a short list of links related to this Java PolynomialFitter.java source code file: 
Copyright 19982019 Alvin Alexander, alvinalexander.com
All Rights Reserved.
A percentage of advertising revenue from
pages under the /java/jwarehouse
URI on this website is
paid back to open source projects.