Computational Mechanics with Neural Networks, Yagawa Genki, Oishi Atsuya

Автор: Bengtsson Ingemar
Название: Geometry of Quantum States
ISBN: 1107026253 ISBN-13(EAN): 9781107026254
Издательство: Cambridge Academ
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Цена: 91860.00 T
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Описание: The second edition of a book that has become a standard reference for researchers working on geometric aspects of quantum entanglement and quantum theory of information. Its comprehensive style makes it suitable for students of physics, information science, and mathematics wishing to learn more about quantum mechanics and quantum entanglement.

Автор: Concha Bielza, Pedro Larranaga
Название: Data-Driven Computational Neuroscience: Machine Learning and Statistical Models
ISBN: 110849370X ISBN-13(EAN): 9781108493703
Издательство: Cambridge Academ
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Цена: 85530.00 T
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Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.

Автор: E. J. Hinch
Название: Think Before You Compute: A Prelude to Computational Fluid Dynamics
ISBN: 1108479545 ISBN-13(EAN): 9781108479547
Издательство: Cambridge Academ
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Цена: 122460.00 T
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Описание: This guide to computational fluid mechanics is for any beginning graduate student who is thinking of computing a flow. The text starts with a quick introduction to enable students to solve numerically a simple problem by a simple method, before detailing all the key essentials and discussing optional advanced topics.

Автор: Huang Haiping
Название: Statistical Mechanics of Neural Networks
ISBN: 9811675694 ISBN-13(EAN): 9789811675690
Издательство: Springer
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Цена: 139750.00 T
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Описание: Chapter 1: Introduction

Chapter 2: Spin Glass Models and Cavity Method

Автор: Alexander P. Yefremov
Название: The General Theory of Particle Mechanics
ISBN: 1527527115 ISBN-13(EAN): 9781527527119
Издательство: Cambridge Scholars
Цена: 52370.00 T
Наличие на складе: Нет в наличии.
Описание: This book provides insights into the tight connection between fundamental math and mechanics, the basic grounding of physics. It demonstrates that quantum, classical, and relativistic mechanics, historically (and separately) formulated upon an experimental basis, can be regarded as links of a single theoretical chain readily extracted from a simple mathematical medium. It uses mathematical tools to endow formerly abstract entities, such as quantum wave-function and classical action function, with original and clear geometric images, strongly simplifying them.

The book comprises the author's lectures, manual texts, typical problems and tests, and many illustrations, and will be of interest to students of all levels majoring in mathematics, physics and advanced engineering programs.

Автор: Yagawa Genki, Oishi Atsuya
Название: Computational Mechanics with Neural Networks
ISBN: 3030661105 ISBN-13(EAN): 9783030661106
Издательство: Springer
Цена: 179510.00 T
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Описание: This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning method in computational mechanics. Part II highlights the applications of neural networks to a variety of problems of computational mechanics.

Автор: Anderson, Dale A.
Название: Computational fluid mechanics and heat transfer /
ISBN: 1591690374 ISBN-13(EAN): 9781591690375
Издательство: Taylor&Francis
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Цена: 127600.00 T
Наличие на складе: Нет в наличии.
Описание: Thoroughly updated to include the latest developments in the field, this classic text on finite-difference and finite-volume computational methods maintains the fundamental concepts covered in the first edition. As an introductory text for advanced undergraduates and first-year graduate students, Computational Fluid Mechanics and Heat Transfer, Third Edition provides the background necessary for solving complex problems in fluid mechanics and heat transfer. Divided into two parts, the book first lays the groundwork for the essential concepts preceding the fluids equations in the second part. It includes expanded coverage of turbulence and large-eddy simulation (LES) and additional material included on detached-eddy simulation (DES) and direct numerical simulation (DNS). Designed as a valuable resource for practitioners and students, new homework problems have been added to further enhance the student’s understanding of the fundamentals and applications.

Автор: Shabana
Название: Computational Continuum Mechanics
ISBN: 0521174384 ISBN-13(EAN): 9780521174381
Издательство: Cambridge Academ
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Цена: 40120.00 T
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Описание: This book presents the nonlinear theory of continuum mechanics and demonstrates its use in developing nonlinear computer formulations for large displacement dynamic analysis. Basic concepts used in continuum mechanics are presented and used to develop nonlinear general finite element formulations that can be effectively used in large displacement analysis.