Deterministic and Stochastic Models
Authors: Karl Hinderer, Ulrich Rieder, Michael Stieglitz
Provides a self-contained and easy-to-read introduction to dynamic programming
Provides a comprehensive treatment of discrete-time multistage optimization
Presents the theory of Markov decision processes without advanced measure theory
Includes various examples and exercises (without solutions)
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.
原版 PDF + EPUB:
本帖隐藏的内容
原版 PDF:PDF 压缩包:
- Dynamic Optimization_Deterministic and Stochastic Models.pdf
EPUB:
EPUB 压缩包:
- Dynamic Optimization_Deterministic and Stochastic Models.epub
PDF + EPUB 压缩包:
- Dynamic Optimization_Deterministic and Stochastic Models.pdf
- Dynamic Optimization_Deterministic and Stochastic Models.epub
如果你喜欢我分享的书籍,请关注我:
https://bbs.pinggu.org/z_guanzhu.php?action=add&fuid=5975757
订阅我的文库:
【金融 + 经济 + 商学 + 国际政治】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3257
【数学 + 统计 + 计算机编程】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3258
【历史 + 心理学 + 社会自然科学】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3259