**Karl Hinderer, Ulrich Rieder, Michael Stieglitz ...**530 pages -

**Publisher:**Springer; 1st edition (January, 2017) ...

**Language:**English -

**ISBN-10:**3319488139 -

**ISBN-13:**978-3319488134 ...

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.

*Dynamic Optimization*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.
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