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Autore principale: Demmel, James
Natura: Preprint
Pubblicazione: 2003
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Accesso online:https://arxiv.org/abs/math/0305004
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author Demmel, James
author_facet Demmel, James
contents Our goal is to find accurate and efficient algorithms, when they exist, for evaluating rational expressions containing floating point numbers, and for computing matrix factorizations (like LU and the SVD) of matrices with rational expressions as entries. More precisely, {\em accuracy} means the relative error in the output must be less than one (no matter how tiny the output is), and {\em efficiency} means that the algorithm runs in polynomial time. Our goal is challenging because our accuracy demand is much stricter than usual.
format Preprint
id arxiv_https___arxiv_org_abs_math_0305004
institution arXiv
publishDate 2003
record_format arxiv
spellingShingle The complexity of accurate floating point computation
Demmel, James
Numerical Analysis
65F, 65G50, 65Y20, 68Q25
Our goal is to find accurate and efficient algorithms, when they exist, for evaluating rational expressions containing floating point numbers, and for computing matrix factorizations (like LU and the SVD) of matrices with rational expressions as entries. More precisely, {\em accuracy} means the relative error in the output must be less than one (no matter how tiny the output is), and {\em efficiency} means that the algorithm runs in polynomial time. Our goal is challenging because our accuracy demand is much stricter than usual.
title The complexity of accurate floating point computation
topic Numerical Analysis
65F, 65G50, 65Y20, 68Q25
url https://arxiv.org/abs/math/0305004