166. Penalty Decomposition methods for convex and nonconvex market equilibrium models
Invited abstract in session FD-6: Difference and decomposition methods, stream Methods for non-/monotone inclusions and their applications.
Friday, 14:10 - 15:50Room: M:H
Authors (first author is the speaker)
| 1. | Giulio Scarponi
|
| Sapienza | |
| 2. | Marco Sciandrone
|
| DIAG, Sapienza Università di Roma |
Abstract
Market equilibrium problems are usually formulated as optimization problems involving the following issues: existence of an equilibrium and possible unicity.
Both in convex and nonconvex case, existence of market equilibria is related to the optima of the welfare optimization problem.
Penalty Decomposition methods take into account the peculiarities of the problem in order to efficiently compute market equilibria in large-scale settings.
In this talk we analyze Penalty Decomposition methods both for convex and nonconvex problems and we present the results of a computational study in market equilibrium problems.
Keywords
- Large- and Huge-scale optimization
- Linear and nonlinear optimization
Status: accepted
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