Accurate and reliable computing in floating-point arithmetic

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Abstract

Methods will be discussed on how to compute accurate and reliable results in pure floating-point arithmetic. In particular, verification methods with INTLAB and error-free transformations will be presented in some detail. © 2010 Springer-Verlag.

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Rump, S. M. (2010). Accurate and reliable computing in floating-point arithmetic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6327 LNCS, pp. 105–108). Springer Verlag. https://doi.org/10.1007/978-3-642-15582-6_22

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