Stochastic Multi-Stage Optimization | At the Crossroads between Discrete Time Stochastic Control and Stochastic Programming

Pierre Carpentier (u. a.)

ISBN 10: 3319365150 / ISBN 13: 9783319365152

Published by Springer, 2016

About this Item

Stochastic Multi-Stage Optimization | At the Crossroads between Discrete Time Stochastic Control and Stochastic Programming | Pierre Carpentier (u. a.) | Taschenbuch | xvii | Englisch | 2016 | Springer | EAN 9783319365152 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 102876579

Bibliographic Details

• Title: Stochastic Multi-Stage Optimization | At the Crossroads between Discrete Time Stochastic Control and Stochastic Programming
• Publisher: Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 3319365150
• ISBN 13: 9783319365152
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 21D millimeters 235 millimeters width by 155 millimeters height by 21 millimeters depth
• Weight: 575 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

Professor Pierre Carpentier’s primary research areas are Decomposition and Coordination for the Optimization of Large-Scale Systems in the stochastic framework, with a special interest in numerical methods. He is currently working at the applied mathematics unit UMA, ENSTA ParisTech, France. Professor J. Ph. Chancelier’s research contributions have been in the fields of Stochastic Optimization, Control and Computer Languages for Numerical Computations. He currently holds a position at the applied mathematics center research CERMICS, École des Ponts ParisTech, France. The main research contributions of Professor Guy Cohen have been in the theory of Decomposition and Coordination for the Optimization of Large-Scale Systems, in the development of a “linear” theory of a certain class of Discrete Event Systems based on the use of the so-called Max-Plus algebra, and more recently in numerical methods for Stochastic Optimal Control. He is currently a Researcher Emeritus. Professor Michel De Lara’s main theoretical research fields are control theory and stochastic control. With regard to applications, he specializes in developing mathematical methods for the sustainable management of natural resources, concentrating on renewable energy and biodiversity. He currently holds a position at the applied mathematics center research CERMICS, École des Ponts ParisTech, France.