Parallel complexity of positive linear programming

被引：0

作者：

MIT Lab for Computer Science, Cambridge, United States ^{[1
]}

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来源：

Parallel Process Lett | / 4卷 / 527-533期

关键词：

Computational complexity - Constraint theory - Linear programming - Matrix algebra - Problem solving - Vectors;

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摘要：

In this paper we study the parallel complexity of Positive Linear Programming (PLP), i.e. the special case of Linear Programming in packing/covering form where the input constraint matrix and constraint vector consist entirely of positive entries. We show that the problem of exactly solving PLP is P-complete.

引用

共 50 条

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