An Augmented Lagrangian Algorithm for Solving Semiinfinite Programming
We present a smooth augmented Lagrangian algorithm for semiinfinite programming (SIP). For this algorithm, we establish a perturbation theorem under mild conditions. As a corollary of the perturbation theorem, we obtain the global convergence result, that is, any accumulation point of the sequence g...
Saved in:
Main Authors: | Qian Liu, Changyu Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2012/145083 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Inexact Exponential Penalty Function with the Augmented Lagrangian for Multiobjective Optimization Algorithms
by: Appolinaire Tougma, et al.
Published: (2024-01-01) -
New Convergence Properties of the Primal Augmented Lagrangian Method
by: Jinchuan Zhou, et al.
Published: (2011-01-01) -
Lagrangian Duality for Multiobjective Programming Problems in Lexicographic Order
by: X. F. Hu, et al.
Published: (2013-01-01) -
A New Augmented Lagrangian Method for Equality Constrained Optimization with Simple Unconstrained Subproblem
by: Hao Zhang, et al.
Published: (2017-01-01) -
A Computational Realization of a Semi-Lagrangian Method for Solving the Advection Equation
by: Alexander Efremov, et al.
Published: (2014-01-01)