Revisiting "What Every Computer Scientist Should Know About Floating-point Arithmetic"
Numerical Analysis
2020-12-07 v1 Numerical Analysis
Abstract
The differences between the sets in which ideal arithmetics takes place and the sets of floating point numbers are outlined. A set of classical problems in correct numerical evaluation is presented, to increase the awareness of newcomers to the field. A self-defense, prophylactic approach to numerical computation is advocated.
Keywords
Cite
@article{arxiv.2012.02492,
title = {Revisiting "What Every Computer Scientist Should Know About Floating-point Arithmetic"},
author = {Vincent Lafage},
journal= {arXiv preprint arXiv:2012.02492},
year = {2020}
}
Comments
13 page, 1 figure