Power of geometric algebra computing for engineering and quantum computing, Hildenbrand, Dietmar

Автор: Eberly Dave
Название: Robust and Error-Free Geometric Computing
ISBN: 1032242183 ISBN-13(EAN): 9781032242187
Издательство: Taylor&Francis
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Цена: 6889.00 р.
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Описание: This is a how-to book for solving problems in actual practice. The contents and accompanying source code are based on the feature requests and feedback received from industry and academics who want both the descriptions and source code for hard-to-find implementations of geometric algorithms.

Автор: Nourani Cyrus F.
Название: A Functorial Model Theory: Newer Applications to Algebraic Topology, Descriptive Sets, and Computing Categories Topos
ISBN: 1926895924 ISBN-13(EAN): 9781926895925
Издательство: Taylor&Francis
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Цена: 18374.00 р.
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Описание:

This book is an introduction to a functorial model theory based on infinitary language categories. The author introduces the properties and foundation of these categories before developing a model theory for functors starting with a countable fragment of an infinitary language. He also presents a new technique for generating generic models with categories by inventing infinite language categories and functorial model theory. In addition, the book covers string models, limit models, and functorial models.

Автор: Dietmar Hildenbrand
Название: Foundations of Geometric Algebra Computing
ISBN: 3642445721 ISBN-13(EAN): 9783642445729
Издательство: Springer
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Цена: 6981.00 р.
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Описание: This book lays the foundation for the widespread use of geometric algebra as a new, up-and-coming field of geometrically intuitive and performant computing technology with a wide range of potential engineering applications in academia and industry.

Автор: Eberly, Dave
Название: Robust and Error-Free Geometric Computing
ISBN: 036735294X ISBN-13(EAN): 9780367352943
Издательство: Taylor&Francis
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Цена: 16078.00 р.
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Описание: This is a how-to book for solving problems in actual practice. The contents and accompanying source code are based on the feature requests and feedback received from industry and academics who want both the descriptions and source code for hard-to-find implementations of geometric algorithms.

Автор: Eduardo Bayro Corrochano
Название: Handbook of Geometric Computing
ISBN: 3642058248 ISBN-13(EAN): 9783642058240
Издательство: Springer
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Цена: 32004.00 р.
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Описание: Many computer scientists, engineers, applied mathematicians, and physicists use geometry theory and geometric computing methods in the design of perception-action systems, intelligent autonomous systems, and man-machine interfaces.

Автор: Pistone
Название: Algebraic Statistics
ISBN: 1584882042 ISBN-13(EAN): 9781584882046
Издательство: Taylor&Francis
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Цена: 27562.00 р.
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Описание: Introduces the application of polynomial algebra to experimental design, discrete probability, and statistics. This book offers an introduction to Grobner bases and a description of their applications to experimental design.

Автор: Vladimir P. Gerdt; Wolfram Koepf; Werner M. Seiler
Название: Computer Algebra in Scientific Computing
ISBN: 3319663194 ISBN-13(EAN): 9783319663197
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book constitutes the proceedings of the 19th International Workshop on Computer Algebra in Scientific Computing, CASC 2017, held in Beijing, China, in September 2017. The 28 full papers presented in this volume were carefully reviewed and selected from 33 submissions.

Автор: Gerdt
Название: Computer Algebra in Scientific Computing
ISBN: 3319456407 ISBN-13(EAN): 9783319456409
Издательство: Springer
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Цена: 10342.00 р.
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Описание: This book constitutes the proceedings of the 18th International Workshop on Computer Algebra in Scientific Computing, CASC 2016, held in Bucharest, Romania, in September 2016. They deal with cutting-edge research in all major disciplines of Computer Algebra.

Автор: Gerald Sommer
Название: Geometric Computing with Clifford Algebras
ISBN: 3642074421 ISBN-13(EAN): 9783642074424
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Recent work shows that Clifford algebra provides a universal and powerful algebraic framework for an elegant and coherent representation of various problems occurring in computer science, signal processing, neural computing, image processing, pattern recognition, computer vision, and robotics.

Автор: V.G. Ganzha; E.W. Mayr; E.V. Vorozhtsov
Название: Computer Algebra in Scientific Computing
ISBN: 3540751866 ISBN-13(EAN): 9783540751861
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Constitutes the refereed proceedings of the 10th International Workshop on Computer Algebra in Scientific Computing, CASC 2007, held in Bonn, Germany, in September 2007. This book includes papers that cover various applications of computer algebra, scientific computing, the computer algebra systems themselves and the CA algorithms.