Title
Solving LP using random projections.
Abstract
A celebrated result of Johnson and Lindenstrauss asserts that, in high enough dimensional spaces, Euclidean distances defined by a finite set of points are approximately preserved when these points are projected to a certain lower dimensional space. We show that the distance from a point to a convex set is another approximate invariant, and leverage this result to approximately solve linear programs with a logarithmic number of rows.
Year
DOI
Venue
2016
10.1016/j.endm.2016.10.014
Electronic Notes in Discrete Mathematics
Keywords
Field
DocType
Johnson-Lindenstrauss lemma,random projection
Random projection,Row,Discrete mathematics,Combinatorics,Finite set,Convex set,Invariant (mathematics),Euclidean geometry,Logarithm,Mathematics,Johnson–Lindenstrauss lemma
Journal
Volume
ISSN
Citations 
55
1571-0653
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Leo Liberti11280105.20
Pierre-Louis Poirion2247.43
Ky Khac Vu382.20