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Linear Programming with Two Variables per Inequality in Poly-Log Time (1990)  (Make Corrections)  (12 citations)
George S. Lueker, Nimrod Megiddo, Vijaya Ramachandran



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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)

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...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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