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Thirteen ways to estimate global error
Authors:Robert D. Skeel
Affiliation:(1) Department of Computer Science, University of Illinois at Urbana-Champaign, (240 Digital Computer Laboratory, 1304 W. Springfield Avenue), 61801 Urbana, Illinois, USA
Abstract:Summary Various techniques that have been proposed for estimating the accumulated discretization error in the numerical solution of differential equations, particularly ordinary differential equations, are classified, described, and compared. For most of the schemes either an outline of an error analysis is given which explains why the scheme works or a weakness of the scheme is illustrated.This research is partially supported by NSF Grant No. MCS-8107046
Keywords:AMS(MOS): 65B05, 65L99, 65J05  CR: G1.7
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