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SIAM Journal on Computing
Article . 1979 . Peer-reviewed
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Article . 1979
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A Round-Off Error Model with Applications to Arithmetic Expressions

A round-off error model with applications to arithmetic expressions
Authors: Vijay B. Aggarwal; James W. Burgmeier;

A Round-Off Error Model with Applications to Arithmetic Expressions

Abstract

An arithmetic expression is evaluated in a form most suitable to a given computing structure. To select this “suitable form” restructuring algorithms using laws of associativity, commutativity, and distributivity have been proposed. This raises the question of how different ways of evaluating an expression influence the propagation of errors due to round-off.An error model consisting of “error vectors” is developed to obtain the absolute error bound satisfied by the computation of a given expression. An error vector algebra is presented that vastly simplifies the calculation of error bounds; yet this model yields the same bounds as other models. The model is used to analyze the error accumulation for different evaluations of division-free arithmetic expressions. With error complexity defined to be the minimum error bound incurred under all modes of evaluation of an expression, a restructuring algorithm is given that minimizes error complexity.

Keywords

Restructuring, Specification and verification (program logics, model checking, etc.), Roundoff error, Parallel Evaluation, Arithmetic Expression, Error Complexity, Round-Off Error Model, Error Vectors, Minimal Error, Arithmetic Laws

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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