A CONE-CONTINUITY CONSTRAINT QUALIFICATION AND ALGORITHMIC CONSEQUENCES

被引:75
作者
Andreani, Roberto [1 ]
Martinez, Jose Mario [1 ]
Ramos, Alberto [2 ]
Silva, Paulo J. S. [1 ]
机构
[1] Univ Estadual Campinas, Dept Appl Math, Inst Math Stat & Sci Comp, Campinas, SP, Brazil
[2] Univ Sao Paulo, Inst Math & Stat, Sao Paulo, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
constrained optimization; optimality conditions; constraint qualifications; KKT conditions; approximate KKT conditions; LINEAR-DEPENDENCE CONDITION; LAGRANGE MULTIPLIERS; OPTIMALITY CONDITION; OPTIMIZATION;
D O I
10.1137/15M1008488
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Every local minimizer of a smooth constrained optimization problem satisfies the sequential approximate Karush-Kuhn-Tucker (AKKT) condition. This optimality condition is used to define the stopping criteria of many practical nonlinear programming algorithms. It is natural to ask for conditions on the constraints under which AKKT implies KKT. These conditions will be called strict constraint qualifications (SCQs). In this paper we define a cone-continuity property (CCP) that will be shown to be the weakest possible SCQ. Its relation to other constraint qualifications will also be clarified. In particular, it will be proved that CCP is strictly weaker than the constant positive generator constraint qualification.
引用
收藏
页码:96 / 110
页数:15
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