Constraint qualifications in terms of convexificators for nonsmooth programming problems with mixed constraints
From MaRDI portal
Publication:6169208
DOI10.1080/02331934.2022.2045987zbMath1522.90213OpenAlexW4221014405MaRDI QIDQ6169208
Publication date: 14 August 2023
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331934.2022.2045987
Nonlinear programming (90C30) Optimality conditions and duality in mathematical programming (90C46) Nonsmooth analysis (49J52)
Cites Work
- Unnamed Item
- Unnamed Item
- Enhanced Karush-Kuhn-Tucker condition and weaker constraint qualifications
- Constraint qualifications and optimality conditions for nonconvex semi-infinite and infinite programs
- Convexificators and strong Kuhn-Tucker conditions
- Convexifactors, generalized convexity, and optimality conditions
- On constraint qualifications in nonsmooth optimization.
- A relaxed constant positive linear dependence constraint qualification and applications
- Optimality conditions for multiobjective fractional programming, via convexificators
- Stronger Kuhn-Tucker type conditions in nonsmooth multiobjective optimization: Locally Lipschitz case
- General constraint qualifications in nondifferentiable programming
- A generalized derivative for calm and stable functions
- Nonsmooth calculus, minimality, and monotonicity of convexificators
- Constraint qualifications and Lagrange multipliers in nondifferentiable programming problems
- Error bounds in mathematical programming
- On the relation between constant positive linear dependence condition and quasinormality constraint qualification
- A Lagrange multiplier rule with small convex-valued subdifferentials for nonsmooth problems of mathematical programming involving equality and nonfunctional constraints
- On the variational principle
- Pseudonormality and a Lagrange multiplier theory for constrained optimization
- Equivalent conditions for local error bounds
- Relaxed constant positive linear dependence constraint qualification and its application to bilevel programs
- Necessary optimality conditions in terms of convexificators in Lipschitz optimization
- Nonsmooth vector functions and continuous optimization
- Sufficient Conditions for Error Bounds
- On relaxed constant rank regularity condition in mathematical programming
- Constraint Qualifications in Semi-Infinite Systems and Their Applications in Nonsmooth Semi-Infinite Problems with Mixed Constraints
- Directional derivative of the marginal function in nonlinear programming
- Optimization and nonsmooth analysis
- On the Constant Positive Linear Dependence Condition and Its Application to SQP Methods
- Convexificators and boundedness of the Kuhn–Tucker multipliers set
- Multiobjective Problems: Enhanced Necessary Conditions and New Constraint Qualifications through Convexificators
- Constraint qualifications for nonsmooth programming
- A Multiplier Rule for Multiobjective Programming Problems with Continuous Data
- Two New Weak Constraint Qualifications and Applications
- Improved enhanced Fritz John condition and constraints qualifications using convexificators
- Theory of Positive Linear Dependence
This page was built for publication: Constraint qualifications in terms of convexificators for nonsmooth programming problems with mixed constraints