Stability and Duality of Nonconvex Problems via Augmented Lagrangian
Cybernetics and Systems Analysis
Augmented Lagrangian Duality and Nondifferentiable Optimization Methods in Nonconvex Programming
Journal of Global Optimization
On augmented Lagrangians for Optimization Problems with a Single Constraint
Journal of Global Optimization
Some Properties of the Augmented Lagrangian in Cone Constrained Optimization
Mathematics of Operations Research
On Saddle Points of Augmented Lagrangians for Constrained Nonconvex Optimization
SIAM Journal on Optimization
Augmented Lagrangians in semi-infinite programming
Mathematical Programming: Series A and B - Nonlinear convex optimization and variational inequalities
On Weak Subdifferentials, Directional Derivatives, and Radial Epiderivatives for Nonconvex Functions
SIAM Journal on Optimization
Augmented Lagrangian function, non-quadratic growth condition and exact penalization
Operations Research Letters
A new approach to characterize the solution set of a pseudoconvex programming problem
Journal of Computational and Applied Mathematics
ε-Mixed type duality for nonconvex multiobjective programs with an infinite number of constraints
Journal of Global Optimization
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In this paper we deal with weak stability and duality of a class of nonconvex infinite programs via augmented Lagrangian. Firstly, we study a concept of weak-subdifferential of an extended real valued function on a topological linear space. Augmented Lagrangian functions and a concept of weak-stability are constructed. Next, relations between weak-stability and strong duality of problems via augmented Lagrangians are investigated. Applications for convex infinite programs are discussed. Saddle point theorems are established. An illustrative example is given.