Dynamic Optimization Deterministic and Stochastic Models /

This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses...

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Bibliographic Details
Main Authors: Hinderer, Karl (Author), Rieder, Ulrich (Author), Stieglitz, Michael (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Series:Universitext,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Introduction and Organization of the Book
  • Part I Deterministic Models
  • Part II Markovian Decision Processes
  • Part III Generalizations of Markovian Decision Processes
  • Part IV Appendix.