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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.

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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;

import java.util.ArrayList;
import java.util.List;

import org.apache.commons.math3.RealFieldElement;
import org.apache.commons.math3.exception.DimensionMismatchException;
import org.apache.commons.math3.exception.MaxCountExceededException;
import org.apache.commons.math3.util.MathArrays;


/**
 * This class represents a combined set of first order differential equations,
 * with at least a primary set of equations expandable by some sets of secondary
 * equations.
 * 

* One typical use case is the computation of the Jacobian matrix for some ODE. * In this case, the primary set of equations corresponds to the raw ODE, and we * add to this set another bunch of secondary equations which represent the Jacobian * matrix of the primary set. *

*

* We want the integrator to use only the primary set to estimate the * errors and hence the step sizes. It should not use the secondary * equations in this computation. The {@link FirstOrderFieldIntegrator integrator} will * be able to know where the primary set ends and so where the secondary sets begin. *

* * @see FirstOrderFieldDifferentialEquations * @see FieldSecondaryEquations * * @param the type of the field elements * @since 3.6 */ public class FieldExpandableODE> { /** Primary differential equation. */ private final FirstOrderFieldDifferentialEquations primary; /** Components of the expandable ODE. */ private List> components; /** Mapper for all equations. */ private FieldEquationsMapper mapper; /** Build an expandable set from its primary ODE set. * @param primary the primary set of differential equations to be integrated. */ public FieldExpandableODE(final FirstOrderFieldDifferentialEquations primary) { this.primary = primary; this.components = new ArrayList>(); this.mapper = new FieldEquationsMapper(null, primary.getDimension()); } /** Get the mapper for the set of equations. * @return mapper for the set of equations */ public FieldEquationsMapper getMapper() { return mapper; } /** Add a set of secondary equations to be integrated along with the primary set. * @param secondary secondary equations set * @return index of the secondary equation in the expanded state, to be used * as the parameter to {@link FieldODEState#getSecondaryState(int)} and * {@link FieldODEStateAndDerivative#getSecondaryDerivative(int)} (beware index * 0 corresponds to main state, additional states start at 1) */ public int addSecondaryEquations(final FieldSecondaryEquations secondary) { components.add(secondary); mapper = new FieldEquationsMapper(mapper, secondary.getDimension()); return components.size(); } /** Initialize equations at the start of an ODE integration. * @param t0 value of the independent time variable at integration start * @param y0 array containing the value of the state vector at integration start * @param finalTime target time for the integration * @exception MaxCountExceededException if the number of functions evaluations is exceeded * @exception DimensionMismatchException if arrays dimensions do not match equations settings */ public void init(final T t0, final T[] y0, final T finalTime) { // initialize primary equations int index = 0; final T[] primary0 = mapper.extractEquationData(index, y0); primary.init(t0, primary0, finalTime); // initialize secondary equations while (++index < mapper.getNumberOfEquations()) { final T[] secondary0 = mapper.extractEquationData(index, y0); components.get(index - 1).init(t0, primary0, secondary0, finalTime); } } /** Get the current time derivative of the complete state vector. * @param t current value of the independent time variable * @param y array containing the current value of the complete state vector * @return time derivative of the complete state vector * @exception MaxCountExceededException if the number of functions evaluations is exceeded * @exception DimensionMismatchException if arrays dimensions do not match equations settings */ public T[] computeDerivatives(final T t, final T[] y) throws MaxCountExceededException, DimensionMismatchException { final T[] yDot = MathArrays.buildArray(t.getField(), mapper.getTotalDimension()); // compute derivatives of the primary equations int index = 0; final T[] primaryState = mapper.extractEquationData(index, y); final T[] primaryStateDot = primary.computeDerivatives(t, primaryState); mapper.insertEquationData(index, primaryStateDot, yDot); // Add contribution for secondary equations while (++index < mapper.getNumberOfEquations()) { final T[] componentState = mapper.extractEquationData(index, y); final T[] componentStateDot = components.get(index - 1).computeDerivatives(t, primaryState, primaryStateDot, componentState); mapper.insertEquationData(index, componentStateDot, yDot); } return yDot; } }




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