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+/*
+ * 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.math3.ode;
+
+/**
+ * This class converts second order differential equations to first order ones.
+ *
+ * <p>This class is a wrapper around a {@link SecondOrderDifferentialEquations} which allow to use a
+ * {@link FirstOrderIntegrator} to integrate it.
+ *
+ * <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>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 SecondOrderDifferentialEquations#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.
+ *
+ * @see FirstOrderIntegrator
+ * @see FirstOrderDifferentialEquations
+ * @see SecondOrderDifferentialEquations
+ * @since 1.2
+ */
+public class FirstOrderConverter implements FirstOrderDifferentialEquations {
+
+ /** Underlying second order equations set. */
+ private final SecondOrderDifferentialEquations equations;
+
+ /** second order problem dimension. */
+ private final int dimension;
+
+ /** state vector. */
+ private final double[] z;
+
+ /** first time derivative of the state vector. */
+ private final double[] zDot;
+
+ /** second time derivative of the state vector. */
+ private final double[] zDDot;
+
+ /**
+ * Simple constructor. Build a converter around a second order equations set.
+ *
+ * @param equations second order equations set to convert
+ */
+ public FirstOrderConverter(final SecondOrderDifferentialEquations equations) {
+ this.equations = equations;
+ dimension = equations.getDimension();
+ z = new double[dimension];
+ zDot = new double[dimension];
+ zDDot = new double[dimension];
+ }
+
+ /**
+ * Get the dimension of the problem.
+ *
+ * <p>The dimension of the first order problem is twice the dimension of the underlying second
+ * order problem.
+ *
+ * @return dimension of the problem
+ */
+ public int getDimension() {
+ return 2 * dimension;
+ }
+
+ /**
+ * Get the current time derivative of the state vector.
+ *
+ * @param t current value of the independent <I>time</I> variable
+ * @param y array containing the current value of the state vector
+ * @param yDot placeholder array where to put the time derivative of the state vector
+ */
+ public void computeDerivatives(final double t, final double[] y, final double[] yDot) {
+
+ // split the state vector in two
+ System.arraycopy(y, 0, z, 0, dimension);
+ System.arraycopy(y, dimension, zDot, 0, dimension);
+
+ // apply the underlying equations set
+ equations.computeSecondDerivatives(t, z, zDot, zDDot);
+
+ // build the result state derivative
+ System.arraycopy(zDot, 0, yDot, 0, dimension);
+ System.arraycopy(zDDot, 0, yDot, dimension, dimension);
+ }
+}