𝔖 Bobbio Scriptorium
✦   LIBER   ✦

On Gap Functions and Duality of Variational Inequality Problems

✍ Scribed by G.Y Chen; C.J Goh; X.Q Yang


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
219 KB
Volume
214
Category
Article
ISSN
0022-247X

No coin nor oath required. For personal study only.

✦ Synopsis


We extend the definition of the gap function defined by Auslender for a more general class of variational inequality problems involving some convex function. A study of the duality of the extended variational inequality problem and its dual sheds new light on the meaning of gap functions. Convexity and differentiability of the gap function are also studied and sufficient conditions are derived. We also show how the gap functions for the primal and the dual are related by dual Fenchel optimization problems.


πŸ“œ SIMILAR VOLUMES


On the elastodynamic solution of frictio
✍ A. Czekanski; S. A. Meguid; N. El-Abbasi; M. H. Refaat πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 483 KB πŸ‘ 1 views

This article is concerned with the development, implementation and application of variational inequalities to treat the general elastodynamic contact problem. The solution strategy is based upon the iterative use of two subproblems. Quadratic programming and Lagrange multipliers are used to solve th

On Efficiency and Duality for Multiobjec
✍ C. Nahak; S. Nanda πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 222 KB

The concept of efficiency pareto optimum is used to formulate duality for multiobjective variational control problems. Wolfe and Mond᎐Weir type duals are Ž . formulated. Under the generalized F y -convexity on the functions involved, weak and strong duality theorems are proved.

The use of negative penalty functions in
✍ Ilanko, Sinniah πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 83 KB

## Abstract A major drawback of the penalty function method in solving constrained variational problems is the difficulty in choosing suitable penalty parameters that are large enough to effect a constraint but small enough to avoid computational problems. This problem stems from the fact that the