-

 

 

 




Optimization Online





 

A Class of Dantzig-Wolfe Type Decomposition Methods for Variational Inequality Problems

Juan Pablo Luna (jluna***at***impa.br)
Claudia Sagastizábal (sagastiz***at***impa.br)
Mikhail Solodov (solodov***at***impa.br)

Abstract: We consider a class of decomposition methods for variational inequalities, which is related to the classical Dantzig–Wolfe decomposition of linear programs. Our approach is rather general, in that it can be used with set-valued or nonmonotone operators, as well as various kinds of approximations in the subproblems of the functions and derivatives in the single-valued case. Also, subproblems can be solved approximately. Convergence is established under reasonable assumptions. We also report numerical experiments for computing variational equilibria of the game-theoretical models of electricity markets. Our numerical results illustrate that the decomposition approach allows to solve large-scale problem instances otherwise untractable if the popular PATH solver is applied directly, without decomposition.

Keywords: variational inequality, decomposition, Dantzig–Wolfe decomposition, Josephy–Newton approximation, Jacobi approximation, variational equilibrium.

Category 1: Complementarity and Variational Inequalities

Category 2: Convex and Nonsmooth Optimization

Citation:

Download: [PDF]

Entry Submitted: 11/28/2011
Entry Accepted: 11/28/2011
Entry Last Modified: 04/27/2012

Modify/Update this entry


  Visitors Authors More about us Links
  Subscribe, Unsubscribe
Digest Archive
Search, Browse the Repository

 

Submit
Update
Policies
Coordinator's Board
Classification Scheme
Credits
Give us feedback
Optimization Journals, Sites, Societies
Mathematical Optimization Society