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The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

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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.Collection;
import java.util.Collections;
import java.util.Comparator;
import java.util.Iterator;
import java.util.List;
import java.util.SortedSet;
import java.util.TreeSet;

import org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver;
import org.apache.commons.math3.analysis.solvers.UnivariateSolver;
import org.apache.commons.math3.exception.DimensionMismatchException;
import org.apache.commons.math3.exception.MathIllegalArgumentException;
import org.apache.commons.math3.exception.MathIllegalStateException;
import org.apache.commons.math3.exception.MaxCountExceededException;
import org.apache.commons.math3.exception.NumberIsTooSmallException;
import org.apache.commons.math3.exception.util.LocalizedFormats;
import org.apache.commons.math3.ode.events.EventHandler;
import org.apache.commons.math3.ode.events.EventState;
import org.apache.commons.math3.ode.sampling.AbstractStepInterpolator;
import org.apache.commons.math3.ode.sampling.StepHandler;
import org.apache.commons.math3.util.FastMath;
import org.apache.commons.math3.util.Incrementor;
import org.apache.commons.math3.util.Precision;

/**
 * Base class managing common boilerplate for all integrators.
 * @version $Id: AbstractIntegrator.java 1244107 2012-02-14 16:17:55Z erans $
 * @since 2.0
 */
public abstract class AbstractIntegrator implements FirstOrderIntegrator {

    /** Step handler. */
    protected Collection stepHandlers;

    /** Current step start time. */
    protected double stepStart;

    /** Current stepsize. */
    protected double stepSize;

    /** Indicator for last step. */
    protected boolean isLastStep;

    /** Indicator that a state or derivative reset was triggered by some event. */
    protected boolean resetOccurred;

    /** Events states. */
    private Collection eventsStates;

    /** Initialization indicator of events states. */
    private boolean statesInitialized;

    /** Name of the method. */
    private final String name;

    /** Counter for number of evaluations. */
    private Incrementor evaluations;

    /** Differential equations to integrate. */
    private transient ExpandableStatefulODE expandable;

    /** Build an instance.
     * @param name name of the method
     */
    public AbstractIntegrator(final String name) {
        this.name = name;
        stepHandlers = new ArrayList();
        stepStart = Double.NaN;
        stepSize  = Double.NaN;
        eventsStates = new ArrayList();
        statesInitialized = false;
        evaluations = new Incrementor();
        setMaxEvaluations(-1);
        evaluations.resetCount();
    }

    /** Build an instance with a null name.
     */
    protected AbstractIntegrator() {
        this(null);
    }

    /** {@inheritDoc} */
    public String getName() {
        return name;
    }

    /** {@inheritDoc} */
    public void addStepHandler(final StepHandler handler) {
        stepHandlers.add(handler);
    }

    /** {@inheritDoc} */
    public Collection getStepHandlers() {
        return Collections.unmodifiableCollection(stepHandlers);
    }

    /** {@inheritDoc} */
    public void clearStepHandlers() {
        stepHandlers.clear();
    }

    /** {@inheritDoc} */
    public void addEventHandler(final EventHandler handler,
                                final double maxCheckInterval,
                                final double convergence,
                                final int maxIterationCount) {
        addEventHandler(handler, maxCheckInterval, convergence,
                        maxIterationCount,
                        new BracketingNthOrderBrentSolver(convergence, 5));
    }

    /** {@inheritDoc} */
    public void addEventHandler(final EventHandler handler,
                                final double maxCheckInterval,
                                final double convergence,
                                final int maxIterationCount,
                                final UnivariateSolver solver) {
        eventsStates.add(new EventState(handler, maxCheckInterval, convergence,
                                        maxIterationCount, solver));
    }

    /** {@inheritDoc} */
    public Collection getEventHandlers() {
        final List list = new ArrayList();
        for (EventState state : eventsStates) {
            list.add(state.getEventHandler());
        }
        return Collections.unmodifiableCollection(list);
    }

    /** {@inheritDoc} */
    public void clearEventHandlers() {
        eventsStates.clear();
    }

    /** {@inheritDoc} */
    public double getCurrentStepStart() {
        return stepStart;
    }

    /** {@inheritDoc} */
    public double getCurrentSignedStepsize() {
        return stepSize;
    }

    /** {@inheritDoc} */
    public void setMaxEvaluations(int maxEvaluations) {
        evaluations.setMaximalCount((maxEvaluations < 0) ? Integer.MAX_VALUE : maxEvaluations);
    }

    /** {@inheritDoc} */
    public int getMaxEvaluations() {
        return evaluations.getMaximalCount();
    }

    /** {@inheritDoc} */
    public int getEvaluations() {
        return evaluations.getCount();
    }

    /** Prepare the start of an integration.
     * @param t0 start value of the independent time variable
     * @param y0 array containing the start value of the state vector
     * @param t target time for the integration
     */
    protected void initIntegration(final double t0, final double[] y0, final double t) {

        evaluations.resetCount();

        for (final EventState state : eventsStates) {
            state.getEventHandler().init(t0, y0, t);
        }

        for (StepHandler handler : stepHandlers) {
            handler.init(t0, y0, t);
        }

        setStateInitialized(false);

    }

    /** Set the equations.
     * @param equations equations to set
     */
    protected void setEquations(final ExpandableStatefulODE equations) {
        this.expandable = equations;
    }

    /** {@inheritDoc} */
    public double integrate(final FirstOrderDifferentialEquations equations,
                            final double t0, final double[] y0, final double t, final double[] y)
        throws MathIllegalStateException, MathIllegalArgumentException {

        if (y0.length != equations.getDimension()) {
            throw new DimensionMismatchException(y0.length, equations.getDimension());
        }
        if (y.length != equations.getDimension()) {
            throw new DimensionMismatchException(y.length, equations.getDimension());
        }

        // prepare expandable stateful equations
        final ExpandableStatefulODE expandableODE = new ExpandableStatefulODE(equations);
        expandableODE.setTime(t0);
        expandableODE.setPrimaryState(y0);

        // perform integration
        integrate(expandableODE, t);

        // extract results back from the stateful equations
        System.arraycopy(expandableODE.getPrimaryState(), 0, y, 0, y.length);
        return expandableODE.getTime();

    }

    /** Integrate a set of differential equations up to the given time.
     * 

This method solves an Initial Value Problem (IVP).

*

The set of differential equations is composed of a main set, which * can be extended by some sets of secondary equations. The set of * equations must be already set up with initial time and partial states. * At integration completion, the final time and partial states will be * available in the same object.

*

Since this method stores some internal state variables made * available in its public interface during integration ({@link * #getCurrentSignedStepsize()}), it is not thread-safe.

* @param equations complete set of differential equations to integrate * @param t target time for the integration * (can be set to a value smaller than t0 for backward integration) * @throws MathIllegalStateException if the integrator cannot perform integration * @throws MathIllegalArgumentException if integration parameters are wrong (typically * too small integration span) */ public abstract void integrate(ExpandableStatefulODE equations, double t) throws MathIllegalStateException, MathIllegalArgumentException; /** Compute the derivatives and check the number of evaluations. * @param t current value of the independent time 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 * @exception MaxCountExceededException if the number of functions evaluations is exceeded */ public void computeDerivatives(final double t, final double[] y, final double[] yDot) throws MaxCountExceededException { evaluations.incrementCount(); expandable.computeDerivatives(t, y, yDot); } /** Set the stateInitialized flag. *

This method must be called by integrators with the value * {@code false} before they start integration, so a proper lazy * initialization is done automatically on the first step.

* @param stateInitialized new value for the flag * @since 2.2 */ protected void setStateInitialized(final boolean stateInitialized) { this.statesInitialized = stateInitialized; } /** Accept a step, triggering events and step handlers. * @param interpolator step interpolator * @param y state vector at step end time, must be reset if an event * asks for resetting or if an events stops integration during the step * @param yDot placeholder array where to put the time derivative of the state vector * @param tEnd final integration time * @return time at end of step * @exception MathIllegalStateException if the value of one event state cannot be evaluated * @since 2.2 */ protected double acceptStep(final AbstractStepInterpolator interpolator, final double[] y, final double[] yDot, final double tEnd) throws MathIllegalStateException { double previousT = interpolator.getGlobalPreviousTime(); final double currentT = interpolator.getGlobalCurrentTime(); // initialize the events states if needed if (! statesInitialized) { for (EventState state : eventsStates) { state.reinitializeBegin(interpolator); } statesInitialized = true; } // search for next events that may occur during the step final int orderingSign = interpolator.isForward() ? +1 : -1; SortedSet occuringEvents = new TreeSet(new Comparator() { /** {@inheritDoc} */ public int compare(EventState es0, EventState es1) { return orderingSign * Double.compare(es0.getEventTime(), es1.getEventTime()); } }); for (final EventState state : eventsStates) { if (state.evaluateStep(interpolator)) { // the event occurs during the current step occuringEvents.add(state); } } while (!occuringEvents.isEmpty()) { // handle the chronologically first event final Iterator iterator = occuringEvents.iterator(); final EventState currentEvent = iterator.next(); iterator.remove(); // restrict the interpolator to the first part of the step, up to the event final double eventT = currentEvent.getEventTime(); interpolator.setSoftPreviousTime(previousT); interpolator.setSoftCurrentTime(eventT); // trigger the event interpolator.setInterpolatedTime(eventT); final double[] eventY = interpolator.getInterpolatedState().clone(); currentEvent.stepAccepted(eventT, eventY); isLastStep = currentEvent.stop(); // handle the first part of the step, up to the event for (final StepHandler handler : stepHandlers) { handler.handleStep(interpolator, isLastStep); } if (isLastStep) { // the event asked to stop integration System.arraycopy(eventY, 0, y, 0, y.length); for (final EventState remaining : occuringEvents) { remaining.stepAccepted(eventT, eventY); } return eventT; } if (currentEvent.reset(eventT, eventY)) { // some event handler has triggered changes that // invalidate the derivatives, we need to recompute them System.arraycopy(eventY, 0, y, 0, y.length); computeDerivatives(eventT, y, yDot); resetOccurred = true; for (final EventState remaining : occuringEvents) { remaining.stepAccepted(eventT, eventY); } return eventT; } // prepare handling of the remaining part of the step previousT = eventT; interpolator.setSoftPreviousTime(eventT); interpolator.setSoftCurrentTime(currentT); // check if the same event occurs again in the remaining part of the step if (currentEvent.evaluateStep(interpolator)) { // the event occurs during the current step occuringEvents.add(currentEvent); } } interpolator.setInterpolatedTime(currentT); final double[] currentY = interpolator.getInterpolatedState(); for (final EventState state : eventsStates) { state.stepAccepted(currentT, currentY); isLastStep = isLastStep || state.stop(); } isLastStep = isLastStep || Precision.equals(currentT, tEnd, 1); // handle the remaining part of the step, after all events if any for (StepHandler handler : stepHandlers) { handler.handleStep(interpolator, isLastStep); } return currentT; } /** Check the integration span. * @param equations set of differential equations * @param t target time for the integration * @exception NumberIsTooSmallException if integration span is too small */ protected void sanityChecks(final ExpandableStatefulODE equations, final double t) throws NumberIsTooSmallException { final double threshold = 1000 * FastMath.ulp(FastMath.max(FastMath.abs(equations.getTime()), FastMath.abs(t))); final double dt = FastMath.abs(equations.getTime() - t); if (dt <= threshold) { throw new NumberIsTooSmallException(LocalizedFormats.TOO_SMALL_INTEGRATION_INTERVAL, dt, threshold, false); } } }




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