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Dynamic Optimization

Deterministic and Stochastic Models

Produktform: Buch / Einband - flex.(Paperback)

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 on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance. is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions). With relevant material covered in four appendices, this book is completely self-contained. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-319-48813-4 / 978-3319488134 / 9783319488134

Verlag: Springer International Publishing

Erscheinungsdatum: 18.01.2017

Seiten: 530

Auflage: 1

Autor(en): Ulrich Rieder, Karl Hinderer, Michael Stieglitz

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