Thesis etd-03312014-192936 |
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Thesis type
Tesi di laurea magistrale
URN
etd-03312014-192936
Thesis title
Error Tolerant Descent Methods for Computing Equilibria
Department
INFORMATICA
Course of study
INFORMATICA E NETWORKING
Supervisors
.
relatore Prof. Bigi, Giancarlo
Keywords
- approximation
- constrained
- constraints
- continuous
- convex
- descent methods
- equilibrium
- KKT
- nash
- nonlinear
- optimality conditions
- optimization
- problem
Graduation session start date
24/04/2014
Availability
Full
Abstract (Inglese)
Abstract (Italiano)
Equilibrium problems naturally arise in the modelling of competitive agents systems in many fields of Engineering. Several descent methods have been developed to solve them, usually asking for an exact solution of auxiliary optimization problems at each step. We propose two algorithms that rely only on approximated solutions of these auxiliary problems. Some ideas on possible methods for computing these solutions efficiently controlling the error are also given. Preliminary numerical tests on cloud computing scenarios have been carried out.
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