
Ebook Info
- Published: 2013
- Number of pages: 501 pages
- Format: PDF
- File Size: 20.23 MB
- Authors: Richard Bellman
Description
An introduction to the mathematical theory of multistage decision processes, this text takes a “functional equation” approach to the discovery of optimum policies. Written by a leading developer of such policies, it presents a series of methods, uniqueness and existence theorems, and examples for solving the relevant equations. The text examines existence and uniqueness theorems, the optimal inventory equation, bottleneck problems in multistage production processes, a new formalism in the calculus of variation, strategies behind multistage games, and Markovian decision processes. Each chapter concludes with a problem set that Eric V. Denardo of Yale University, in his informative new introduction, calls “a rich lode of applications and research topics.” 1957 edition. 37 figures.
User’s Reviews
Reviews from Amazon users which were colected at the time this book was published on the website:
⭐This book does fail. However, I bought this book prematurely for my mathematical ability. I was looking for the programming side of dynamic programming and this book speaks on the mathematical side of dynamic programming. Some people may say to read the book and translate what you read into code and that’s fair. However, if your looking for programming examples for dynamic programming, this book does not have that. With the being said the book does have something of substance to offer.
⭐This is the bible
⭐This was a Christmas gift for my son (a PHD student) to be used as research and Kiel as a reference. He loved it and was pleased with the great condition of the book! Would make another purchase without hesitation! Thanks.
⭐A good classic.
⭐very poetic style, a classic book for solving optimization problems.The equations are rendered too small to read in the kindle version.
⭐I saw several different books with the same author, but different publisher and prices. What difference?
⭐The book is just a classic piece of historical. It is probably not the best book on optimal control available, because of large progress since this seminal work was published, but anyone interested in optimal control should definitely consider spending that little money, just to have it.
⭐Este libro definitivamente debería estar presente en la biblioteca personal de todo aquel que valora el uso de la programación dinámica, ya sea en investigaciones académicas o en la práctica profesional. Esta es una edición con una gran calidad de imprenta y el precio es muy accesible.If you do not have a strong analytical background this book is not for you, I don’t think it’s meant as an introduction to optimization.However this book is very good to present a tool and be more aware of it’s mathematical limitations.
⭐The book is very much mathematical and difficult to understand.I would recommend Dynamic Programming: A Computational Tool By Art Lew Which is much better but much more expensive than this book.
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