(Enter summary)
Abstract: The parallel time complexity of the linear programming problem
with at most twovariables per inequality is discussed. Let
m
denote
the number of variables and the number of inequalities, respectively,ina
linear programming problem. We assume all inequalities are weak. We describe
an O((log m+log
n)-time parallel algorithm for deciding feasibility, under
the concurrent-read-exclusive-write PRAM model. It requires
mn O(logn)
processors
in the worst case, though we do not know... (Update)
Context of citations to this paper: More
...per inequality (TVPI) It is probably the case that the MDP(2) problem is in NC, meaning that it can be eciently solved in parallel. In [81], the same open question is 139 raised about the TVPI problem. Linear optimization over TVPI is P complete [81] Deterministic MDP...
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BibTeX entry: (Update)
G. S. Lueker, N. Megiddo, and V. Ramachandran. Linear programming with two variables per inequality in poly log time. SIAM J. Comput., 19(6):1000--1010, 1990. http://citeseer.ist.psu.edu/article/lueker90linear.html More
@inproceedings{ lueker86linear,
author = "G. S. Lueker and N. Megiddo and V. Ramachandran",
title = "Linear programming with two variables per inequality in poly-log time",
pages = "196--205",
year = "1986",
url = "citeseer.ist.psu.edu/article/lueker90linear.html" }
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