Programming and Probability Models in Operations Research PDF Download
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Author: Donald P. Gaver
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 710
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Book Description
Author: Donald P. Gaver
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 710
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Book Description
![Programming and Probability Models in Operations Research [by] Donald P. Gaver [and] Gerald L. Thompson PDF](https://books.google.com/books/content/images/frontcover/avHlswEACAAJ?fife=w80-h100)
Author: Donald P. Gaver
Publisher:
ISBN:
Category : Mathematical models
Languages : en
Pages : 683
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Book Description
Author: Wayne L. Winston
Publisher: Duxbury Resource Center
ISBN:
Category : Business & Economics
Languages : en
Pages : 762
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Book Description
Vol. 2: CD-ROM contains student editions of: ProcessModel, LINGO, Premium Solver, DecisionTools Suite including @RISK AND RISKOptimizer, Data files.
Author: Wayne L. Winston
Publisher: Brooks/Cole Publishing Company
ISBN: 9780534423599
Category : Business & Economics
Languages : en
Pages : 752
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Book Description
This text, the second volume of Wayne Winston's successful OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS, FOURTH EDITION, covers topics in Probability Models and addresses the substantial contribution of Probability Modeling in the last five years to the fields of financial engineering, computational simulation and manufacturing. The specific attention to probability models with the addition of recent practical breakthroughs makes this the first text to introduce these ideas together at an accessible level.
Author: Paul A. Jensen
Publisher: John Wiley & Sons
ISBN: 0471380040
Category : Technology & Engineering
Languages : en
Pages : 708
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Book Description
In a rapidly developing field like Operations Research, its easy to get overwhelmed by the variety of topics and analytic techniques. Paul Jensen and Jonathan Bard help you master the expensive field by focusing on the fundamental models and methodologies underlying the practice of Operations Research. Bridging the gap between theory and practice, the author presents the quantitative tools and models most important to understanding modern operations research. You'll come to appreciate the power of OR techniques in solving real-world problems and applications in your own field. You'll learn how to translate complex situations into mathematical models, solve models and turn models into solutions. This text is designed to bridge the gap between theory and practice by presenting the quantitative tools and models most suited for modern operations research. The principal goal is to give analysts, engineers, and decision makers a larger appreciation of their roles by defining a common terminology and by explaining the interfaces between the underlying methodologies. Features Divides each subject into methods and models, giving you greater flexibility in how you approach the material. Concise and focused presentation highlights central ideas. Many examples throughout the text will help you better understand mathematical material.
Author: Paul A. Jensen
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 520
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Book Description
Author: Alan J. King
Publisher: Springer Science & Business Media
ISBN: 0387878173
Category : Mathematics
Languages : en
Pages : 189
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Book Description
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.
Author: Leon Cooper
Publisher: W.B. Saunders Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 426
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Book Description
The nature of operations research. Allocations models. Solution of linear programming models. Additional allocation models. Network models. Location models. Scheduling models. Empirical probability models. Simple probability models. Probabilistic decision models. Markov models. Queuing models. Inventory models. Case studies in operations research. Appendix. Index.
Author: P. Ramamurthy
Publisher: New Age International
ISBN: 8122420699
Category : Mathematics
Languages : en
Pages : 22
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Book Description
Author: Rathindra P. Sen
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120339304
Category : Mathematics
Languages : en
Pages : 801
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Book Description
It covers all the relevant topics along with the recent developments in the field. The book begins with an overview of operations research and then discusses the simplex method of optimization and duality concept along with the deterministic models such as post-optimality analysis, transportation and assignment models. While covering hybrid models of operations research, the book elaborates PERT (Programme Evaluation and Review Technique), CPM (Critical Path Method), dynamic programming, inventory control models, simulation techniques and their applications in mathematical modelling and computer programming. It explains the decision theory, game theory, queueing theory, sequencing models, replacement and reliability problems, information theory and Markov processes which are related to stochastic models. Finally, this well-organized book describes advanced deterministic models that include goal programming, integer programming and non-linear programming.
