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Variational approaches and other contributions in stochastic optimization

Strugarek, Cyrille (2006) Variational approaches and other contributions in stochastic optimization. PhD thesis, ENSTA / UMA - Laboratoire de Mécanique Appliqués, ENPC.

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Abstract

The dissertation focuses on stochastic optimization. The first chapter proposes a typology of stochastic optimization problems. The second chapter proves that in the one dimensional case, only systems with linear dynamics and observations are open loop dual effect free. The third chapter enlightens the importance of the information structure of the random process when one aims at discretizing or giving stability results for multistage stochastic programs. The fourth chapter proposes a new family of stochastic algorithms which allow to seek for the optimal control as a function of the uncertainty. The fifth chapter shows the limits and possibilities of decomposition and agreggation for large scale dynamic stochastic programs.

Item Type:PhD Thesis (PhD)
Thesis Supervisor:Carpentier, Pierre and Sulem, Agnès
Date:May 2006
Board of examiners:Wets, Roger J. -B. and Quadrat, Jean-Pierre and Cohen, Guy and Hiriart-urruty, Jean-Baptiste and AÏd, René and Henrion, René and Carpentier, Pierre and Sulem, Agnès
Ecole Doctorale:ENPC
Collection (Fonds):ENPC
ENSTA
Institution:ENPC
Department:ENSTA / UMA - Laboratoire de Mécanique Appliqués
Subjects:1. Mathematics and Applications
Uncontrolled Keywords:Optimisation stochastique, Algorithmes stochastiques, Stabilité décomposition, Agrégation, Principe du problème auxiliaire, Gradient stochastique
ID Code:1848
Deposited By:Christiane Baudry
Deposited On:17 July 2006

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