source: src/main/java/agents/org/apache/commons/math/ode/FirstOrderConverter.java

Last change on this file was 1, checked in by Wouter Pasman, 7 years ago

Initial import : Genius 9.0.0

File size: 4.7 KB
Line 
1/*
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 agents.org.apache.commons.math.ode;
19
20import agents.org.apache.commons.math.ode.DerivativeException;
21
22/** This class converts second order differential equations to first
23 * order ones.
24 *
25 * <p>This class is a wrapper around a {@link
26 * SecondOrderDifferentialEquations} which allow to use a {@link
27 * FirstOrderIntegrator} to integrate it.</p>
28 *
29 * <p>The transformation is done by changing the n dimension state
30 * vector to a 2n dimension vector, where the first n components are
31 * the initial state variables and the n last components are their
32 * first time derivative. The first time derivative of this state
33 * vector then really contains both the first and second time
34 * derivative of the initial state vector, which can be handled by the
35 * underlying second order equations set.</p>
36 *
37 * <p>One should be aware that the data is duplicated during the
38 * transformation process and that for each call to {@link
39 * #computeDerivatives computeDerivatives}, this wrapper does copy 4n
40 * scalars : 2n before the call to {@link
41 * SecondOrderDifferentialEquations#computeSecondDerivatives
42 * computeSecondDerivatives} in order to dispatch the y state vector
43 * into z and zDot, and 2n after the call to gather zDot and zDDot
44 * into yDot. Since the underlying problem by itself perhaps also
45 * needs to copy data and dispatch the arrays into domain objects,
46 * this has an impact on both memory and CPU usage. The only way to
47 * avoid this duplication is to perform the transformation at the
48 * problem level, i.e. to implement the problem as a first order one
49 * and then avoid using this class.</p>
50 *
51 * @see FirstOrderIntegrator
52 * @see FirstOrderDifferentialEquations
53 * @see SecondOrderDifferentialEquations
54 * @version $Revision: 1073158 $ $Date: 2011-02-21 22:46:52 +0100 (lun. 21 févr. 2011) $
55 * @since 1.2
56 */
57
58public class FirstOrderConverter implements FirstOrderDifferentialEquations {
59
60 /** Underlying second order equations set. */
61 private final SecondOrderDifferentialEquations equations;
62
63 /** second order problem dimension. */
64 private final int dimension;
65
66 /** state vector. */
67 private final double[] z;
68
69 /** first time derivative of the state vector. */
70 private final double[] zDot;
71
72 /** second time derivative of the state vector. */
73 private final double[] zDDot;
74
75 /** Simple constructor.
76 * Build a converter around a second order equations set.
77 * @param equations second order equations set to convert
78 */
79 public FirstOrderConverter (final SecondOrderDifferentialEquations equations) {
80 this.equations = equations;
81 dimension = equations.getDimension();
82 z = new double[dimension];
83 zDot = new double[dimension];
84 zDDot = new double[dimension];
85 }
86
87 /** Get the dimension of the problem.
88 * <p>The dimension of the first order problem is twice the
89 * dimension of the underlying second order problem.</p>
90 * @return dimension of the problem
91 */
92 public int getDimension() {
93 return 2 * dimension;
94 }
95
96 /** Get the current time derivative of the state vector.
97 * @param t current value of the independent <I>time</I> variable
98 * @param y array containing the current value of the state vector
99 * @param yDot placeholder array where to put the time derivative of the state vector
100 * @throws DerivativeException this exception is propagated to the caller if the
101 * underlying user function triggers one
102 */
103 public void computeDerivatives(final double t, final double[] y, final double[] yDot)
104 throws DerivativeException {
105
106 // split the state vector in two
107 System.arraycopy(y, 0, z, 0, dimension);
108 System.arraycopy(y, dimension, zDot, 0, dimension);
109
110 // apply the underlying equations set
111 equations.computeSecondDerivatives(t, z, zDot, zDDot);
112
113 // build the result state derivative
114 System.arraycopy(zDot, 0, yDot, 0, dimension);
115 System.arraycopy(zDDot, 0, yDot, dimension, dimension);
116
117 }
118
119}
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