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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.

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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
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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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