On the weakest constraint qualification for sharp local minimizers
From MaRDI portal
Publication:6618215
DOI10.1080/02331934.2024.2322155MaRDI QIDQ6618215
Publication date: 14 October 2024
Published in: Optimization (Search for Journal in Brave)
Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On linear programs with linear complementarity constraints
- Finite convergence of algorithms for nonlinear programs and variational inequalities
- First order solutions in conic programming
- Strong unicity and alternation for linear optimization
- Optimality conditions for an isolated minimum of order two in \(C1\) constrained optimization
- Strong uniqueness: A far-reaching criterion for the convergence analysis of iterative procedures
- Characterizations of strict local minima and necessary conditions for weak sharp minima
- First and second order sufficient conditions for strict minimality in nonsmooth vector optimization.
- Unicity in linear optimization
- Solving linear programs with complementarity constraints using branch-and-cut
- Optimality conditions in smooth nonlinear programming
- Mathematical Programs with Complementarity Constraints: Stationarity, Optimality, and Sensitivity
- Weak Sharp Minima in Mathematical Programming
- An analysis of degeneracy
- Sufficient conditions for the stability of local minimum points in nonsmooth optimization
- A Note on First-Order Sufficient Optimality Conditions for Pareto Problems
- Convex Analysis
- A Necessary and Sufficient Qualification for Constrained Optimization
- Mathematical Programs with Cardinality Constraints: Reformulation by Complementarity-Type Conditions and a Regularization Method
- Generalized polarity and weakest constraint qualifications in multiobjective optimization
This page was built for publication: On the weakest constraint qualification for sharp local minimizers
