Modeling with Stochastic Programming is popular PDF and ePub book, written by Alan J. King in 2012-06-19, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Modeling with Stochastic Programming can be Read Online from any device for your convenience.
Modeling with Stochastic Programming Book PDF Summary
While there are several texts on how to solve and analyze stochastic programs, this is the first text to address basic questions about how to model uncertainty, and how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This text would be suitable as a stand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental issues are. The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty. Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York. Stein W. Wallace is a Professor of Operational Research at Lancaster University Management School in England.
Detail Book of Modeling with Stochastic Programming PDF
- Author : Alan J. King
- Release : 19 June 2012
- Publisher : Springer Science & Business Media
- ISBN : 9780387878171
- Genre : Mathematics
- Total Page : 189 pages
- Language : English
- PDF File Size : 17,5 Mb
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