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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.ode.jacobians;
19
20import org.apache.commons.math.ode.DerivativeException;
21import org.apache.commons.math.ode.FirstOrderDifferentialEquations;
22
23
24/** This interface represents {@link ParameterizedODE
25 * first order differential equations} with parameters and partial derivatives.
26 *
27 * @see FirstOrderIntegratorWithJacobians
28 *
29 * @version $Revision: 1073158 $ $Date: 2011-02-21 22:46:52 +0100 (lun. 21 févr. 2011) $
30 * @since 2.1
31 * @deprecated as of 2.2 the complete package is deprecated, it will be replaced
32 * in 3.0 by a completely rewritten implementation
33 */
34@Deprecated
35public interface ODEWithJacobians extends FirstOrderDifferentialEquations {
36
37 /** Get the number of parameters.
38 * @return number of parameters
39 */
40 int getParametersDimension();
41
42 /** Compute the partial derivatives of ODE with respect to state.
43 * @param t current value of the independent <I>time</I> variable
44 * @param y array containing the current value of the state vector
45 * @param yDot array containing the current value of the time derivative of the state vector
46 * @param dFdY placeholder array where to put the jacobian of the ODE with respect to the state vector
47 * @param dFdP placeholder array where to put the jacobian of the ODE with respect to the parameters
48 * @throws DerivativeException this exception is propagated to the caller if the
49 * underlying user function triggers one
50 */
51 void computeJacobians(double t, double[] y, double[] yDot, double[][] dFdY, double[][] dFdP)
52 throws DerivativeException;
53
54}