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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
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package org.apache.commons.math3.ode.sampling;


/**
 * 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 $Id: FixedStepHandler.java 1416643 2012-12-03 19:37:14Z tn $ * @since 1.2 */ public interface FixedStepHandler { /** Initialize step 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 step 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); /** * 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 */ void handleStep(double t, double[] y, double[] yDot, boolean isLast); }




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