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The Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

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/*
 * 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
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package org.apache.commons.math.optimization.fitting;

import java.io.Serializable;

/** This class is a simple container for weighted observed point in
 * {@link CurveFitter curve fitting}.
 * 

Instances of this class are guaranteed to be immutable.

* @version $Revision: 786479 $ $Date: 2009-06-19 14:36:16 +0200 (ven. 19 juin 2009) $ * @since 2.0 */ public class WeightedObservedPoint implements Serializable { /** Serializable version id. */ private static final long serialVersionUID = 5306874947404636157L; /** Weight of the measurement in the fitting process. */ private final double weight; /** Abscissa of the point. */ private final double x; /** Observed value of the function at x. */ private final double y; /** Simple constructor. * @param weight weight of the measurement in the fitting process * @param x abscissa of the measurement * @param y ordinate of the measurement */ public WeightedObservedPoint(final double weight, final double x, final double y) { this.weight = weight; this.x = x; this.y = y; } /** Get the weight of the measurement in the fitting process. * @return weight of the measurement in the fitting process */ public double getWeight() { return weight; } /** Get the abscissa of the point. * @return abscissa of the point */ public double getX() { return x; } /** Get the observed value of the function at x. * @return observed value of the function at x */ public double getY() { return y; } }




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