On polynomial complexity of a stochastic algorithm for mixed zero-one programs

被引：0

作者：

Jagannathan, R ^{[1
]}

机构：

[1] Univ Iowa, Iowa City, IA 52242 USA

来源：

DISCRETE APPLIED MATHEMATICS | 2004年 / 134卷 / 1-3期

关键词：

mixed zero-one program; randomization method; polynomial time; probabilistic analysis; central limit theorem;

D O I：

10.1016/S0166-218X(03)00301-9

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

A stochastic (randomization) algorithm for solving mixed zero-one programs in a yes-no form is presented. Under a set of conditions, we show that any mixed zero-one program is such that either a feasible solution for the problem is obtained or it is classified as infeasible. The algorithm is such that its random running time has its kth moment, k = 1,...,j, for any j, bounded by a polynomial in n, the number of zero-one variables. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：91 / 103

页数：13

共 50 条

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