Sets, logic and maths for computing, Makinson, David
Автор: Nederpelt Название: Type Theory and Formal Proof ISBN: 110703650X ISBN-13(EAN): 9781107036505 Издательство: Cambridge Academ Рейтинг: Цена: 10611.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Type theory is a fast-evolving field at the crossroads of logic, computer science and mathematics. This book provides a gentle step-by-step introduction in the art of formalizing mathematics on the basis of type theory. It is suitable for a broad audience, ranging from undergraduate students to researchers.
Автор: Chubb Название: Logic and Algebraic Structures in Quantum Computing ISBN: 110703339X ISBN-13(EAN): 9781107033399 Издательство: Cambridge Academ Рейтинг: Цена: 21226.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this international cross-disciplinary collaboration, leading experts explore connections across their respective fields. The book offers an insight into the fundamental questions in quantum theory and logic, which will appeal to many researchers and graduate students including logicians, mathematicians, computer scientists, and physicists.
Описание: The QL&SC 2012 is a major symposium for scientists, and practitioners all around the world to present their researches, results, ideas, developments and applications in such areas as quantitative logic, many-valued logic, fuzzy logic and more. This book provides an introduction to fuzzy reasoning and soft computing.
Автор: Appel Название: Program Logics for Certified Compilers ISBN: 110704801X ISBN-13(EAN): 9781107048010 Издательство: Cambridge Academ Рейтинг: Цена: 13147.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers practical and theoretical separation logic suitable for graduate students. On the practical side, it covers verification in Hoare and separation logics, simple case studies, and the Verifiable C program logic. On the theoretical side, it covers separation algebras, step-indexed models, indirection theory, tree-shares, and the semantic construction of Verifiable C.
Автор: John Seiffertt Название: Digital Logic for Computing ISBN: 331956837X ISBN-13(EAN): 9783319568379 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book provides a bottom-up approach to understanding how a computer works and how to use computing to solve real-world problems.
Автор: Tsau Young Lin; Yiyu Y. Yao; Lotfi A. Zadeh Название: Data Mining, Rough Sets and Granular Computing ISBN: 3790825085 ISBN-13(EAN): 9783790825084 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw- ing together points (objects) which are related through similarity, proximity or functionality.
Описание: This book opens the door to a new interesting and ambitious world of reversible and quantum computing research. Top world universities, companies and government institutions are in a race of developing new methodologies, algorithms and circuits on reversible logic, quantum logic, reversible and quantum computing and nano-technologies.
Автор: Guoqing Chen; Mingsheng Ying; Kai-Yuan Cai Название: Fuzzy Logic and Soft Computing ISBN: 1461373999 ISBN-13(EAN): 9781461373995 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Chien-Chung Chan; Jerzy W. Grzymala-Busse; Wojciec Название: Rough Sets and Current Trends in Computing ISBN: 3540884238 ISBN-13(EAN): 9783540884231 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2008, held in Akron, OH, USA, in October 2008. This book presents the papers that are organized in topical sections on logical and mathematical foundations, data analysis, data mining, and decision support systems.
Автор: Rafael Bello; Rafael Falc?n; Witold Pedrycz Название: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets ISBN: 3540769722 ISBN-13(EAN): 9783540769729 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Since their inception, fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. This title offers a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba.
Автор: Hiroshi Sakai; Mihir Chakraborty; Aboul-Ella Hassa Название: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ISBN: 3642106455 ISBN-13(EAN): 9783642106453 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009.
Автор: O`leary, Dianne P. (university Of Maryland, Colleg Название: Scientific computing with case studies ISBN: 0898716667 ISBN-13(EAN): 9780898716665 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14045.00 р. Наличие на складе: Нет в наличии.
Описание: This book is a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis are emphasized, and the Matlab algorithms are grounded in sound principles of software design and understanding of machine arithmetic and memory management. Nineteen case studies provide experience in mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. The topics included go well beyond the standard first-course syllabus, introducing important problems such as differential-algebraic equations and conic optimization problems, and important solution techniques such as continuation methods. The case studies cover a wide variety of fascinating applications, from modeling the spread of an epidemic to determining truss configurations.
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