SENSITIVITY ANALYSIS IN MULTI-PARAMETRIC STRICTLY CONVEX QUADRATIC OPTIMIZATION

被引：0
|
作者：
Kheirfam, B. [1 ]
机构：
[1] Azarbaijan Univ Tarbiat Moallem, Dept Math, Tabriz, Iran
来源：
MATEMATICKI VESNIK | 2010年 / 62卷 / 02期
关键词：
Sensitivity analysis; support set; optimal partition; multi-parametric programming; quadratic optimization; critical region;
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, we study multi-parametric sensitivity analysis for support set and optimal partition invariancy with simultaneous perturbations in the right-hand-side of constraints and the Linear Term of the objective function of the quadratic programming. We show that the invariancy regions are convex polyhedral sets and we describe the set of admissible parameters by the basis vectors of the lineality space and the extreme directions of the defined cone over appropriate problems, and compare them with the linear optimization case.
引用
收藏
页码：95 / 107
页数：13
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