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ON NAIVE TAYLOR MODEL INTEGRATION METHOD

Baghdad Science Journal

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Title ON NAIVE TAYLOR MODEL INTEGRATION METHOD
 
Creator Journal, Baghdad Science
 
Description Interval methods for verified integration of initial value problems (IVPs) for ODEs have been used for more than 40 years. For many classes of IVPs, these methods have the ability to compute guaranteed error bounds for the flow of an ODE, where traditional methods provide only approximations to a solution. Overestimation, however, is a potential drawback of verified methods. For some problems, the computed error bounds become overly pessimistic, or integration even breaks down. The dependency problem and the wrapping effect are particular sources of overestimations in interval computations.
Berz (see [1]) and his co-workers have developed Taylor model methods, which extend interval arithmetic with symbolic computations. The latter is an effective tool for reducing both the dependency problem and the wrapping effect. By construction, Taylor model methods appear particularly suitable for integrating nonlinear ODEs. In this paper, we analyze Taylor model based integration of ODEs and compare Taylor model with traditional enclosure methods for IVPs for ODEs.
More advanced Taylor model integration methods are discussed in the algorithm (1). For clarity, we summarize the major steps of the naive Taylor model method as algorithm 1.
 
Publisher College of Science for Women - University of Baghdad
 
Date 2009-03-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/973
 
Source مجلة بغداد للعلوم; مجلد 6 عدد 1 (2009): issue 1; 222-230
Baghdad Science Journal; Vol 6 No 1 (2009): issue 1; 222-230
2411-7986
2078-8665
 
Language eng
 
Relation http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/973/904
 
Rights Copyright (c) 2009 Baghdad Science Journal