FirstOrderConverter.java
- /*
- * 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
- *
- * https://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.
- */
- /*
- * This is not the original file distributed by the Apache Software Foundation
- * It has been modified by the Hipparchus project
- */
- package org.hipparchus.ode;
- /** This class converts second order differential equations to first
- * order ones.
- *
- * <p>This class is a wrapper around a {@link SecondOrderODE} which
- * allow to use a {@link ODEIntegrator} to integrate it.</p>
- *
- * <p>The transformation is done by changing the n dimension state
- * vector to a 2n dimension vector, where the first n components are
- * the initial state variables and the n last components are their
- * first time derivative. The first time derivative of this state
- * vector then really contains both the first and second time
- * derivative of the initial state vector, which can be handled by the
- * underlying second order equations set.</p>
- *
- * <p>One should be aware that the data is duplicated during the
- * transformation process and that for each call to {@link
- * #computeDerivatives computeDerivatives}, this wrapper does copy 4n
- * scalars : 2n before the call to {@link
- * SecondOrderODE#computeSecondDerivatives
- * computeSecondDerivatives} in order to dispatch the y state vector
- * into z and zDot, and 2n after the call to gather zDot and zDDot
- * into yDot. Since the underlying problem by itself perhaps also
- * needs to copy data and dispatch the arrays into domain objects,
- * this has an impact on both memory and CPU usage. The only way to
- * avoid this duplication is to perform the transformation at the
- * problem level, i.e. to implement the problem as a first order one
- * and then avoid using this class.</p>
- *
- * @see ODEIntegrator
- * @see OrdinaryDifferentialEquation
- * @see SecondOrderODE
- */
- public class FirstOrderConverter implements OrdinaryDifferentialEquation {
- /** Underlying second order equations set. */
- private final SecondOrderODE equations;
- /** second order problem dimension. */
- private final int dimension;
- /** Simple constructor.
- * Build a converter around a second order equations set.
- * @param equations second order equations set to convert
- */
- public FirstOrderConverter (final SecondOrderODE equations) {
- this.equations = equations;
- dimension = equations.getDimension();
- }
- /** {@inheritDoc}
- * <p>The dimension of the first order problem is twice the
- * dimension of the underlying second order problem.</p>
- * @return dimension of the problem
- */
- @Override
- public int getDimension() {
- return 2 * dimension;
- }
- /** {@inheritDoc} */
- @Override
- public double[] computeDerivatives(final double t, final double[] y) {
- final double[] yDot = new double[y.length];
- // split the state vector in two
- final double[] z = new double[dimension];
- final double[] zDot = new double[dimension];
- System.arraycopy(y, 0, z, 0, dimension);
- System.arraycopy(y, dimension, zDot, 0, dimension);
- // apply the underlying equations set
- final double[] zDDot = equations.computeSecondDerivatives(t, z, zDot);
- // build the result state derivative
- System.arraycopy(zDot, 0, yDot, 0, dimension);
- System.arraycopy(zDDot, 0, yDot, dimension, dimension);
- return yDot;
- }
- }