Dynamic Optimization. Deterministic and Stochastic Models
β Scribed by Karl Hinderer, Ulrich Rieder, Michael Stieglitz
- Publisher
- Springer
- Year
- 2016
- Tongue
- English
- Leaves
- 527
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p>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 focu
<div><div>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 bo
<p>This book may be regarded as consisting of two parts. In Chapters I-IV we preΒ sent what we regard as essential topics in an introduction to deterministic optimal control theory. This material has been used by the authors for one semester graduate-level courses at Brown University and the Univers
<p>Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey c