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The 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.
/*
* 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.math.ode.sampling;
import org.apache.commons.math.ode.DerivativeException;
/**
* This interface represents a handler that should be called after
* each successful fixed step.
* This interface should be implemented by anyone who is interested
* in getting the solution of an ordinary differential equation at
* fixed time steps. Objects implementing this interface should be
* wrapped within an instance of {@link StepNormalizer} that itself
* is used as the general {@link StepHandler} by the integrator. The
* {@link StepNormalizer} object is called according to the integrator
* internal algorithms and it calls objects implementing this
* interface as necessary at fixed time steps.
*
* @see StepHandler
* @see StepNormalizer
* @version $Revision: 785473 $ $Date: 2009-06-17 00:02:35 -0400 (Wed, 17 Jun 2009) $
* @since 1.2
*/
public interface FixedStepHandler {
/**
* Handle the last accepted step
* @param t time of the current step
* @param y state vector at t. For efficiency purposes, the {@link
* StepNormalizer} class reuses the same array on each call, so if
* the instance wants to keep it across all calls (for example to
* provide at the end of the integration a complete array of all
* steps), it should build a local copy store this copy.
* @param yDot derivatives of the state vector state vector at t.
* For efficiency purposes, the {@link StepNormalizer} class reuses
* the same array on each call, so if
* the instance wants to keep it across all calls (for example to
* provide at the end of the integration a complete array of all
* steps), it should build a local copy store this copy.
* @param isLast true if the step is the last one
* @throws DerivativeException if some error condition is encountered
*/
public void handleStep(double t, double[] y, double[] yDot, boolean isLast)
throws DerivativeException;
}
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