A numerical feasible interior point method for linear semidefinite programs

被引:10
|
作者
Benterki, Djamel [1 ]
Crouzeix, Jean-Pierre
Merikhi, Bachir
机构
[1] Univ Ferhat Abbas, Fac Sci, Dept Math, Setif 19000, Algeria
[2] Univ Clermont Ferrand, LIMOS, F-63177 Aubiere, France
关键词
linear programming; semidefinite programming; interior point methods;
D O I
10.1051/ro:2007006
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper presents a feasible primal algorithm for linear semidefinite programming. The algorithm starts with a strictly feasible solution, but in case where no such a solution is known, an application of the algorithm to an associate problem allows to obtain one. Finally, we present some numerical experiments which show that the algorithm works properly.
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页码:49 / 59
页数:11
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