blob: 8153190e3b6fc4553c2fbd1f3b817ba1bcbc7024 [file] [log] [blame]
Raymonddee08492015-04-02 10:43:13 -07001/*
2 * Licensed to the Apache Software Foundation (ASF) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * The ASF licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17
18package org.apache.commons.math.optimization.fitting;
19
20import java.io.Serializable;
21
22/** This class is a simple container for weighted observed point in
23 * {@link CurveFitter curve fitting}.
24 * <p>Instances of this class are guaranteed to be immutable.</p>
25 * @version $Revision: 786479 $ $Date: 2009-06-19 14:36:16 +0200 (ven. 19 juin 2009) $
26 * @since 2.0
27 */
28public class WeightedObservedPoint implements Serializable {
29
30 /** Serializable version id. */
31 private static final long serialVersionUID = 5306874947404636157L;
32
33 /** Weight of the measurement in the fitting process. */
34 private final double weight;
35
36 /** Abscissa of the point. */
37 private final double x;
38
39 /** Observed value of the function at x. */
40 private final double y;
41
42 /** Simple constructor.
43 * @param weight weight of the measurement in the fitting process
44 * @param x abscissa of the measurement
45 * @param y ordinate of the measurement
46 */
47 public WeightedObservedPoint(final double weight, final double x, final double y) {
48 this.weight = weight;
49 this.x = x;
50 this.y = y;
51 }
52
53 /** Get the weight of the measurement in the fitting process.
54 * @return weight of the measurement in the fitting process
55 */
56 public double getWeight() {
57 return weight;
58 }
59
60 /** Get the abscissa of the point.
61 * @return abscissa of the point
62 */
63 public double getX() {
64 return x;
65 }
66
67 /** Get the observed value of the function at x.
68 * @return observed value of the function at x
69 */
70 public double getY() {
71 return y;
72 }
73
74}
75