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* Licensed to the Apache Software Foundation (ASF) under one or more
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* 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,
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* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.commons.math3.ode.events;
/** This interface represents a handler for discrete events triggered
* during ODE integration.
*
* Some events can be triggered at discrete times as an ODE problem
* is solved. This occurs for example when the integration process
* should be stopped as some state is reached (G-stop facility) when the
* precise date is unknown a priori, or when the derivatives have
* discontinuities, or simply when the user wants to monitor some
* states boundaries crossings.
*
*
* These events are defined as occurring when a g
* switching function sign changes.
*
* Since events are only problem-dependent and are triggered by the
* independent time variable and the state vector, they can
* occur at virtually any time, unknown in advance. The integrators will
* take care to avoid sign changes inside the steps, they will reduce
* the step size when such an event is detected in order to put this
* event exactly at the end of the current step. This guarantees that
* step interpolation (which always has a one step scope) is relevant
* even in presence of discontinuities. This is independent from the
* stepsize control provided by integrators that monitor the local
* error (this event handling feature is available for all integrators,
* including fixed step ones).
*
* @since 1.2
*/
public interface EventHandler {
/** Enumerate for actions to be performed when an event occurs. */
enum Action {
/** Stop indicator.
* This value should be used as the return value of the {@link
* #eventOccurred eventOccurred} method when the integration should be
* stopped after the event ending the current step.
*/
STOP,
/** Reset state indicator.
* This value should be used as the return value of the {@link
* #eventOccurred eventOccurred} method when the integration should
* go on after the event ending the current step, with a new state
* vector (which will be retrieved thanks to the {@link #resetState
* resetState} method).
*/
RESET_STATE,
/** Reset derivatives indicator.
* This value should be used as the return value of the {@link
* #eventOccurred eventOccurred} method when the integration should
* go on after the event ending the current step, with a new derivatives
* vector (which will be retrieved thanks to the {@link
* org.apache.commons.math3.ode.FirstOrderDifferentialEquations#computeDerivatives}
* method).
*/
RESET_DERIVATIVES,
/** Continue indicator.
* This value should be used as the return value of the {@link
* #eventOccurred eventOccurred} method when the integration should go
* on after the event ending the current step.
*/
CONTINUE;
}
/** Initialize event handler at the start of an ODE integration.
*
* This method is called once at the start of the integration. It
* may be used by the event handler to initialize some internal data
* if needed.
*
* @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
*/
void init(double t0, double[] y0, double t);
/** Compute the value of the switching function.
* The discrete events are generated when the sign of this
* switching function changes. The integrator will take care to change
* the stepsize in such a way these events occur exactly at step boundaries.
* The switching function must be continuous in its roots neighborhood
* (but not necessarily smooth), as the integrator will need to find its
* roots to locate precisely the events.
* Also note that the integrator expect that once an event has occurred,
* the sign of the switching function at the start of the next step (i.e.
* just after the event) is the opposite of the sign just before the event.
* This consistency between the steps must be preserved,
* otherwise {@link org.apache.commons.math3.exception.NoBracketingException
* exceptions} related to root not being bracketed will occur.
* This need for consistency is sometimes tricky to achieve. A typical
* example is using an event to model a ball bouncing on the floor. The first
* idea to represent this would be to have {@code g(t) = h(t)} where h is the
* height above the floor at time {@code t}. When {@code g(t)} reaches 0, the
* ball is on the floor, so it should bounce and the typical way to do this is
* to reverse its vertical velocity. However, this would mean that before the
* event {@code g(t)} was decreasing from positive values to 0, and after the
* event {@code g(t)} would be increasing from 0 to positive values again.
* Consistency is broken here! The solution here is to have {@code g(t) = sign
* * h(t)}, where sign is a variable with initial value set to {@code +1}. Each
* time {@link #eventOccurred(double, double[], boolean) eventOccurred} is called,
* {@code sign} is reset to {@code -sign}. This allows the {@code g(t)}
* function to remain continuous (and even smooth) even across events, despite
* {@code h(t)} is not. Basically, the event is used to fold {@code h(t)}
* at bounce points, and {@code sign} is used to unfold it back, so the
* solvers sees a {@code g(t)} function which behaves smoothly even across events.
* @param t current value of the independent time variable
* @param y array containing the current value of the state vector
* @return value of the g switching function
*/
double g(double t, double[] y);
/** Handle an event and choose what to do next.
* This method is called when the integrator has accepted a step
* ending exactly on a sign change of the function, just before
* the step handler itself is called (see below for scheduling). It
* allows the user to update his internal data to acknowledge the fact
* the event has been handled (for example setting a flag in the {@link
* org.apache.commons.math3.ode.FirstOrderDifferentialEquations
* differential equations} to switch the derivatives computation in
* case of discontinuity), or to direct the integrator to either stop
* or continue integration, possibly with a reset state or derivatives.
*
* - if {@link Action#STOP} is returned, the step handler will be called
* with the
isLast flag of the {@link
* org.apache.commons.math3.ode.sampling.StepHandler#handleStep handleStep}
* method set to true and the integration will be stopped,
* - if {@link Action#RESET_STATE} is returned, the {@link #resetState
* resetState} method will be called once the step handler has
* finished its task, and the integrator will also recompute the
* derivatives,
* - if {@link Action#RESET_DERIVATIVES} is returned, the integrator
* will recompute the derivatives,
*
- if {@link Action#CONTINUE} is returned, no specific action will
* be taken (apart from having called this method) and integration
* will continue.
*
* The scheduling between this method and the {@link
* org.apache.commons.math3.ode.sampling.StepHandler StepHandler} method {@link
* org.apache.commons.math3.ode.sampling.StepHandler#handleStep(
* org.apache.commons.math3.ode.sampling.StepInterpolator, boolean)
* handleStep(interpolator, isLast)} is to call this method first and
* handleStep afterwards. This scheduling allows the integrator to
* pass true as the isLast parameter to the step
* handler to make it aware the step will be the last one if this method
* returns {@link Action#STOP}. As the interpolator may be used to navigate back
* throughout the last step (as {@link
* org.apache.commons.math3.ode.sampling.StepNormalizer StepNormalizer}
* does for example), user code called by this method and user
* code called by step handlers may experience apparently out of order values
* of the independent time variable. As an example, if the same user object
* implements both this {@link EventHandler EventHandler} interface and the
* {@link org.apache.commons.math3.ode.sampling.FixedStepHandler FixedStepHandler}
* interface, a forward integration may call its
* eventOccurred method with t = 10 first and call its
* handleStep method with t = 9 afterwards. Such out of order
* calls are limited to the size of the integration step for {@link
* org.apache.commons.math3.ode.sampling.StepHandler variable step handlers} and
* to the size of the fixed step for {@link
* org.apache.commons.math3.ode.sampling.FixedStepHandler fixed step handlers}.
* @param t current value of the independent time variable
* @param y array containing the current value of the state vector
* @param increasing if true, the value of the switching function increases
* when times increases around event (note that increase is measured with respect
* to physical time, not with respect to integration which may go backward in time)
* @return indication of what the integrator should do next, this
* value must be one of {@link Action#STOP}, {@link Action#RESET_STATE},
* {@link Action#RESET_DERIVATIVES} or {@link Action#CONTINUE}
*/
Action eventOccurred(double t, double[] y, boolean increasing);
/** Reset the state prior to continue the integration.
* This method is called after the step handler has returned and
* before the next step is started, but only when {@link
* #eventOccurred} has itself returned the {@link Action#RESET_STATE}
* indicator. It allows the user to reset the state vector for the
* next step, without perturbing the step handler of the finishing
* step. If the {@link #eventOccurred} never returns the {@link
* Action#RESET_STATE} indicator, this function will never be called, and it is
* safe to leave its body empty.
* @param t current value of the independent time variable
* @param y array containing the current value of the state vector
* the new state should be put in the same array
*/
void resetState(double t, double[] y);
}