Some problems in asymptotic convex geometry and random matrices motivated by numerical algorithms

Fuente: arXiv
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1. Verfasser: Vershynin, Roman
Format: Preprint
Veröffentlicht: 2007
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author Vershynin, Roman
author_facet Vershynin, Roman
contents The simplex method in Linear Programming motivates several problems of asymptotic convex geometry. We discuss some conjectures and known results in two related directions -- computing the size of projections of high dimensional polytopes and estimating the norms of random matrices and their inverses.
format Preprint
id arxiv_https___arxiv_org_abs_cs_0703093
institution arXiv
publishDate 2007
record_format arxiv
spellingShingle Some problems in asymptotic convex geometry and random matrices motivated by numerical algorithms
Vershynin, Roman
Computational Geometry
Data Structures and Algorithms
Numerical Analysis
G.1.6; G.1.3
The simplex method in Linear Programming motivates several problems of asymptotic convex geometry. We discuss some conjectures and known results in two related directions -- computing the size of projections of high dimensional polytopes and estimating the norms of random matrices and their inverses.
title Some problems in asymptotic convex geometry and random matrices motivated by numerical algorithms
topic Computational Geometry
Data Structures and Algorithms
Numerical Analysis
G.1.6; G.1.3
url https://arxiv.org/abs/cs/0703093