Computational Complexity and Numerical Stability of Linear Problems
Computational Complexity
2010-06-22 v2 Data Structures and Algorithms
Numerical Analysis
History and Overview
Numerical Analysis
Rings and Algebras
Abstract
We survey classical and recent developments in numerical linear algebra, focusing on two issues: computational complexity, or arithmetic costs, and numerical stability, or performance under roundoff error. We present a brief account of the algebraic complexity theory as well as the general error analysis for matrix multiplication and related problems. We emphasize the central role played by the matrix multiplication problem and discuss historical and modern approaches to its solution.
Cite
@article{arxiv.0906.0687,
title = {Computational Complexity and Numerical Stability of Linear Problems},
author = {Olga Holtz and Noam Shomron},
journal= {arXiv preprint arXiv:0906.0687},
year = {2010}
}
Comments
16 pages; updated to reflect referees' remarks; to appear in Proceedings of the 5th European Congress of Mathematics