A polynomial case of unconstrained zero-one quadratic optimization

被引：45

作者：

Allemand, K ^{[1
]}

Fukuda, K ^{[1
]}

Liebling, TM ^{[1
]}

Steiner, E ^{[1
]}

机构：

[1] EPFL, Dept Math, CH-1015 Lausanne, Switzerland

来源：

MATHEMATICAL PROGRAMMING | 2001年 / 91卷 / 01期

关键词：

Objective Function; Polynomial Time; Symmetric Matrix; Maximization Problem; Spectral Decomposition;

D O I：

10.1007/s101070100233

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Unconstrained zero-one quadratic maximization problems can be solved in polynomial time when the symmetric matrix describing the objective function is positive semidefinite of fixed rank with known Spectral decomposition.

引用

页码：49 / 52

页数：4

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