Mathematical Foundation of Programming Semantics, Austin Melton

Автор: Shi-Yu Huang; Jaques Teghem
Название: Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty
ISBN: 9401074496 ISBN-13(EAN): 9789401074490
Издательство: Springer
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Описание: Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.

Автор: Marisa Venturini Zilli
Название: Mathematical Models for the Semantics of Parallelism
ISBN: 3540184198 ISBN-13(EAN): 9783540184195
Издательство: Springer
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Цена: 8384.00 р.
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Автор: Michael Main; Austin Melton; Michael Mislove; Davi
Название: Mathematical Foundations of Programming Language Semantics
ISBN: 3540190201 ISBN-13(EAN): 9783540190202
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume is the proceedings of the 3rd Workshop on the Mathematical Foundations of Programming Language Semantics held at Tulane University, New Orleans, Louisiana, April 8-10, 1987.

Автор: Young-Jou Lai; Ching-Lai Hwang
Название: Fuzzy Mathematical Programming
ISBN: 354056098X ISBN-13(EAN): 9783540560982
Издательство: Springer
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Описание: To improve flexibility and robustness of fuzzymathematical programming techniques, we also present ourexpert decision-making support system IFLP which considersand solves all possibilities of a specific domain of (fuzzy)linear programming problems.

Автор: Vil?m Nov?k
Название: The Alternative Mathematical Model of Linguistic Semantics and Pragmatics
ISBN: 0306442698 ISBN-13(EAN): 9780306442698
Издательство: Springer
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Описание: In opposition to the classical set theory of natural language, Novak`s highly original monograph offers a theory based on alternative and fuzzy sets. This new approach is firmly grounded in semantics and pragmatics, and accounts for the vagueness inherent in natural language-filling a large gap in our current knowledge.