Stochastic Linear Programming, Peter Kall; J?nos Mayer

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Автор: Parzen, Emanuel
Название: Stochastic processes
ISBN: 0898714419 ISBN-13(EAN): 9780898714418
Издательство: Mare Nostrum (Eurospan)
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Цена: 9656.00 р.
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Описание: This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions.

Автор: Masatoshi Sakawa; Hitoshi Yano; Ichiro Nishizaki
Название: Linear and Multiobjective Programming with Fuzzy Stochastic Extensions
ISBN: 1489978550 ISBN-13(EAN): 9781489978554
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This self-contained book offers comprehensive coverage of linear programming, multiobjective programming, fuzzy programming, stochastic programming, and fuzzy stochastic programming, with applications in purchase and transportation planning for food retailing.

Автор: Willem K. Klein Haneveld
Название: Duality in Stochastic Linear and Dynamic Programming
ISBN: 3540167935 ISBN-13(EAN): 9783540167938
Издательство: Springer
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Автор: P. Kall
Название: Stochastic Linear Programming
ISBN: 3642662544 ISBN-13(EAN): 9783642662546
Издательство: Springer
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Цена: 11173.00 р.
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Описание: Todaymanyeconomists, engineers and mathematicians are familiar with linear programming and are able to apply it. This is owing to the following facts: during the last 25 years efficient methods have been developed; at the same time sufficient computer capacity became available; finally, in many different fields, linear programs have turned out to be appropriate models for solving practical problems. However, to apply the theory and the methods of linear programming, it is required that the data determining a linear program be fixed known numbers. This condition is not fulfilled in many practical situations, e. g. when the data are demands, technological coefficients, available capacities, cost rates and so on. It may happen that such data are random variables. In this case, it seems to be common practice to replace these random variables by their mean values and solve the resulting linear program. By 1960 various authors had already recog- nized that this approach is unsound: between 1955 and 1960 there were such papers as "Linear Programming under Uncertainty," "Stochastic Linear Pro- gramming with Applications to Agricultural Economics," "Chance Constrained Programming," "Inequalities for Stochastic Linear Programming Problems" and "An Approach to Linear Programming under Uncertainty."

Автор: Masatoshi Sakawa; Hitoshi Yano; Ichiro Nishizaki
Название: Linear and Multiobjective Programming with Fuzzy Stochastic Extensions
ISBN: 1461493986 ISBN-13(EAN): 9781461493983
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This self-contained book offers comprehensive coverage of linear programming, multiobjective programming, fuzzy programming, stochastic programming, and fuzzy stochastic programming, with applications in purchase and transportation planning for food retailing.

Автор: Nachtsheim;Neter;Kutner
Название: Applied Linear Statistical Models with Student CD
ISBN: 0071122214 ISBN-13(EAN): 9780071122214
Издательство: McGraw-Hill
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Цена: 9265.00 р.
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Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.