Lagrange multiplier rules for non-differentiable DC generalized semi-infinite programming problems
From MaRDI portal
Publication:2392776
DOI10.1007/s10898-011-9828-5zbMath1300.90056OpenAlexW2094953918MaRDI QIDQ2392776
Publication date: 2 August 2013
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10898-011-9828-5
Nonsmooth analysis (49J52) Semi-infinite programming (90C34) Markov and semi-Markov decision processes (90C40)
Related Items (6)
Strong Karush-Kuhn-Tucker optimality conditions for Borwein properly efficient solutions of multiobjective semi-infinite programming ⋮ Higher-order Karush–Kuhn–Tucker optimality conditions for Borwein properly efficient solutions of multiobjective semi-infinite programming ⋮ Non-convex semi-infinite min-max optimization with noncompact sets ⋮ Optimality conditions for nonsmooth generalized semi-infinite programs ⋮ Unnamed Item ⋮ Generalized Semi-Infinite Programming: Optimality Conditions Involving Reverse Convex Problems
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On functions representable as a difference of convex functions
- First order optimality conditions for generalized semi-infinite programming problems
- On the minimization of difference functions
- Generalized semi-infinite optimization: A first order optimality condition and examples
- First-order optimality conditions in generalized semi-infinite programming
- Asymptotic dual conditions characterizing optimality for infinite convex programs
- Bi-level strategies in semi-infinite programming.
- DC programming: overview.
- Constraint Qualifications for Semi-Infinite Systems of Convex Inequalities
- First-Order Optimality Conditions for Degenerate Index Sets in Generalized Semi-Infinite Optimization
- Optimality conditions for non-smooth semi-infinite programming
- General Semi-Infinite Programming: Symmetric Mangasarian–Fromovitz Constraint Qualification and the Closure of the Feasible Set
- A closedness condition and its applications to DC programs with convex constraints
- Optimization and nonsmooth analysis
- Extensions of the Kuhn--Tucker Constraint Qualification to Generalized Semi-infinite Programming
- New Farkas-type constraint qualifications in convex infinite programming
- Convex analysis and global optimization
This page was built for publication: Lagrange multiplier rules for non-differentiable DC generalized semi-infinite programming problems