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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.
/*
* 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.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 08:36:16 -0400 (Fri, 19 Jun 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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