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Java example source code file (ParameterJacobianProvider.java)

This example Java source code file (ParameterJacobianProvider.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

dimensionmismatchexception, maxcountexceededexception, parameterizable, parameterjacobianprovider, string, unknownparameterexception

The ParameterJacobianProvider.java Java example source code

/*
 * 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;

import org.apache.commons.math3.exception.DimensionMismatchException;
import org.apache.commons.math3.exception.MaxCountExceededException;

/** Interface to compute exactly Jacobian matrix for some parameter
 *  when computing {@link JacobianMatrices partial derivatives equations}.
 *
 * @since 3.0
 */
public interface ParameterJacobianProvider extends Parameterizable {

    /** Compute the Jacobian matrix of ODE with respect to one parameter.
     * <p>If the parameter does not belong to the collection returned by
     * {@link #getParametersNames()}, the Jacobian will be set to 0,
     * but no errors will be triggered.</p>
     * @param t current value of the independent <I>time variable
     * @param y array containing the current value of the main state vector
     * @param yDot array containing the current value of the time derivative
     * of the main state vector
     * @param paramName name of the parameter to consider
     * @param dFdP placeholder array where to put the Jacobian matrix of the
     * ODE with respect to the parameter
     * @exception MaxCountExceededException if the number of functions evaluations is exceeded
     * @exception DimensionMismatchException if arrays dimensions do not match equations settings
     * @exception UnknownParameterException if the parameter is not supported
     */
    void computeParameterJacobian(double t, double[] y, double[] yDot,
                                  String paramName, double[] dFdP)
        throws DimensionMismatchException, MaxCountExceededException, UnknownParameterException;

}

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