All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.apache.commons.math3.ode.ParameterJacobianProvider Maven / Gradle / Ivy

Go to download

A Java's Collaborative Filtering library to carry out experiments in research of Collaborative Filtering based Recommender Systems. The library has been designed from researchers to researchers.

The newest version!
/*
 * 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.
     * 

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.

* @param t current value of the independent 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; }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy