A Simplex Variant Solving An m x d Linear Program in O(min(m squared, d squared)) Expected Number of Pivot Steps
Ilan Adler and Richard Karp and Ron Shamir
EECS Department, University of California, Berkeley
Technical Report No. UCB/CSD-83-158
, 1983
http://www2.eecs.berkeley.edu/Pubs/TechRpts/1983/CSD-83-158.pdf
We present a variant of the Simplex method which requires on the average at most 2(min(m,d)+1)-squared pivots to solve the linear program min cTx, Ax>=b, x>=0 with (A(epsilon)R)mxd. The underlying probabilistic distribution is assumed to be invariant under inverting the sense of any subset of the inequalities. In particular, this implies that under Smale's spherically symmetric model this variant requires an average of no more than 2(d+1)-squared pivots, independent of m, where d<=m.
BibTeX citation:
@techreport{Adler:CSD-83-158, Author= {Adler, Ilan and Karp, Richard and Shamir, Ron}, Title= {A Simplex Variant Solving An m x d Linear Program in O(min(m squared, d squared)) Expected Number of Pivot Steps}, Year= {1983}, Month= {Dec}, Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/1983/5951.html}, Number= {UCB/CSD-83-158}, Abstract= {We present a variant of the Simplex method which requires on the average at most 2(min(m,d)+1)-squared pivots to solve the linear program min cTx, Ax>=b, x>=0 with (A(epsilon)R)mxd. The underlying probabilistic distribution is assumed to be invariant under inverting the sense of any subset of the inequalities. In particular, this implies that under Smale's spherically symmetric model this variant requires an average of no more than 2(d+1)-squared pivots, independent of m, where d<=m.}, }
EndNote citation:
%0 Report %A Adler, Ilan %A Karp, Richard %A Shamir, Ron %T A Simplex Variant Solving An m x d Linear Program in O(min(m squared, d squared)) Expected Number of Pivot Steps %I EECS Department, University of California, Berkeley %D 1983 %@ UCB/CSD-83-158 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/1983/5951.html %F Adler:CSD-83-158