First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition

成果类型:
Article
署名作者:
Andreani, Roberto; Haeser, Gabriel; Mito, Leonardo M.; Ramirez, Hector; Silveira, Thiago P.
署名单位:
Universidade Estadual de Campinas; Universidade de Sao Paulo; Universidad de Chile; Universidad de Chile
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-023-01942-8
发表日期:
2023
页码:
473-513
关键词:
linear-dependence condition mathematical programs constraint qualifications optimization problems sqp
摘要:
The well known constant rank constraint qualification [Math. Program. Study 21:110-126, 1984] introduced by Janin for nonlinear programming has been recently extended to a conic context by exploiting the eigenvector structure of the problem. In this paper we propose a more general and geometric approach for defining a new extension of this condition to the conic context. The main advantage of our approach is that we are able to recast the strong second-order properties of the constant rank condition in a conic context. In particular, we obtain a second-order necessary optimality condition that is stronger than the classical one obtained under Robinson's constraint qualification, in the sense that it holds for every Lagrange multiplier, even though our condition is independent of Robinson's condition.