1 | /*
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2 | * Licensed to the Apache Software Foundation (ASF) under one or more
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3 | * contributor license agreements. See the NOTICE file distributed with
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4 | * this work for additional information regarding copyright ownership.
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5 | * The ASF licenses this file to You under the Apache License, Version 2.0
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6 | * (the "License"); you may not use this file except in compliance with
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7 | * the License. You may obtain a copy of the License at
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8 | *
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9 | * http://www.apache.org/licenses/LICENSE-2.0
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10 | *
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11 | * Unless required by applicable law or agreed to in writing, software
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12 | * distributed under the License is distributed on an "AS IS" BASIS,
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13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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14 | * See the License for the specific language governing permissions and
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15 | * limitations under the License.
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16 | */
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17 |
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18 | package agents.anac.y2019.harddealer.math3.ode;
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19 |
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20 |
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21 | /** This class converts second order differential equations to first
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22 | * order ones.
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23 | *
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24 | * <p>This class is a wrapper around a {@link
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25 | * SecondOrderDifferentialEquations} which allow to use a {@link
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26 | * FirstOrderIntegrator} to integrate it.</p>
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27 | *
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28 | * <p>The transformation is done by changing the n dimension state
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29 | * vector to a 2n dimension vector, where the first n components are
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30 | * the initial state variables and the n last components are their
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31 | * first time derivative. The first time derivative of this state
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32 | * vector then really contains both the first and second time
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33 | * derivative of the initial state vector, which can be handled by the
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34 | * underlying second order equations set.</p>
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35 | *
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36 | * <p>One should be aware that the data is duplicated during the
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37 | * transformation process and that for each call to {@link
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38 | * #computeDerivatives computeDerivatives}, this wrapper does copy 4n
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39 | * scalars : 2n before the call to {@link
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40 | * SecondOrderDifferentialEquations#computeSecondDerivatives
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41 | * computeSecondDerivatives} in order to dispatch the y state vector
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42 | * into z and zDot, and 2n after the call to gather zDot and zDDot
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43 | * into yDot. Since the underlying problem by itself perhaps also
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44 | * needs to copy data and dispatch the arrays into domain objects,
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45 | * this has an impact on both memory and CPU usage. The only way to
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46 | * avoid this duplication is to perform the transformation at the
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47 | * problem level, i.e. to implement the problem as a first order one
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48 | * and then avoid using this class.</p>
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49 | *
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50 | * @see FirstOrderIntegrator
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51 | * @see FirstOrderDifferentialEquations
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52 | * @see SecondOrderDifferentialEquations
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53 | * @since 1.2
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54 | */
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55 |
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56 | public class FirstOrderConverter implements FirstOrderDifferentialEquations {
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57 |
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58 | /** Underlying second order equations set. */
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59 | private final SecondOrderDifferentialEquations equations;
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60 |
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61 | /** second order problem dimension. */
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62 | private final int dimension;
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63 |
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64 | /** state vector. */
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65 | private final double[] z;
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66 |
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67 | /** first time derivative of the state vector. */
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68 | private final double[] zDot;
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69 |
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70 | /** second time derivative of the state vector. */
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71 | private final double[] zDDot;
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72 |
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73 | /** Simple constructor.
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74 | * Build a converter around a second order equations set.
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75 | * @param equations second order equations set to convert
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76 | */
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77 | public FirstOrderConverter (final SecondOrderDifferentialEquations equations) {
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78 | this.equations = equations;
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79 | dimension = equations.getDimension();
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80 | z = new double[dimension];
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81 | zDot = new double[dimension];
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82 | zDDot = new double[dimension];
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83 | }
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84 |
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85 | /** Get the dimension of the problem.
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86 | * <p>The dimension of the first order problem is twice the
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87 | * dimension of the underlying second order problem.</p>
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88 | * @return dimension of the problem
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89 | */
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90 | public int getDimension() {
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91 | return 2 * dimension;
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92 | }
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93 |
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94 | /** Get the current time derivative of the state vector.
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95 | * @param t current value of the independent <I>time</I> variable
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96 | * @param y array containing the current value of the state vector
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97 | * @param yDot placeholder array where to put the time derivative of the state vector
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98 | */
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99 | public void computeDerivatives(final double t, final double[] y, final double[] yDot) {
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100 |
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101 | // split the state vector in two
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102 | System.arraycopy(y, 0, z, 0, dimension);
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103 | System.arraycopy(y, dimension, zDot, 0, dimension);
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104 |
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105 | // apply the underlying equations set
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106 | equations.computeSecondDerivatives(t, z, zDot, zDDot);
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107 |
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108 | // build the result state derivative
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109 | System.arraycopy(zDot, 0, yDot, 0, dimension);
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110 | System.arraycopy(zDDot, 0, yDot, dimension, dimension);
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111 |
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112 | }
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113 |
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114 | }
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