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Stochastic Multistage Optimization At The Crossroads Between Discrete Time Stochastic Control And Stochastic Programming 2015th Edition Pierre Carpentier

  • SKU: BELL-5087560
Stochastic Multistage Optimization At The Crossroads Between Discrete Time Stochastic Control And Stochastic Programming 2015th Edition Pierre Carpentier
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Stochastic Multistage Optimization At The Crossroads Between Discrete Time Stochastic Control And Stochastic Programming 2015th Edition Pierre Carpentier instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 6 MB
Author: Pierre Carpentier, Jean-Philippe Chancelier, Guy Cohen, Michel DE LARA
ISBN: 9783319181370, 3319181378
Language: English
Year: 2015
Edition: 2015

Product desciption

Stochastic Multistage Optimization At The Crossroads Between Discrete Time Stochastic Control And Stochastic Programming 2015th Edition Pierre Carpentier by Pierre Carpentier, Jean-philippe Chancelier, Guy Cohen, Michel De Lara 9783319181370, 3319181378 instant download after payment.

Discusses the role of information in dynamic stochastic optimization problems
Proposes a typology of information structures to delineate those which are numerically tractable
Proposes discretization methods jointly handling the stochastic components and the information structure of tractable problems and studies convergence issues for numerically tractable information structures
The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the related discretization issues. There is a growing need to tackle uncertainty in applications of optimization. For example the massive introduction of renewable energies in power systems challenges traditional ways to manage them. This book lays out basic and advanced tools to handle and numerically solve such problems and thereby is building a bridge between Stochastic Programming and Stochastic Control. It is intended for graduates readers and scholars in optimization or stochastic control, as well as engineers with a background in applied mathematics.
Related Subjects: Continuous Optimization, Probability Theory and Stochastic Processes

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