An introduction to multi-parameter complexity analysis of discrete problems

被引:9
|
作者
Sevastianov, SV [1 ]
机构
[1] Sobolev Inst Math, Novosibirsk 630090, Russia
关键词
complexity theory; combinatorial optimization; parameterized family of subproblems; scheduling; coloring;
D O I
10.1016/j.ejor.2004.04.009
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A notion of multi-parameter complexity analysis of a discrete problem as the determining of complexities of its subproblems over all possible combinations of constraints on key parameters is introduced, and a notion of a basis system of subproblems is defined. Basic theorems on the existence, uniqueness and finiteness of the basis system are established. As an illustration to this approach, some results on the 4-parameter complexity analysis of the open shop scheduling problem and of the connected list coloring problem are presented. (c) 2004 Elsevier B.V. All rights reserved.
引用
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页码:387 / 397
页数:11
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