An Introduction to the History of Structural Mechanics, Edoardo Benvenuto

Автор: Alexandre J. Chorin; Jerrold E. Marsden
Название: A Mathematical Introduction to Fluid Mechanics
ISBN: 1461269342 ISBN-13(EAN): 9781461269342
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The text illustrates the physical background and motivation for some constructions used in recent mathematical and numerical work on the Navier- Stokes equations and on hyperbolic systems, so as to interest students in this at once beautiful and difficult subject.

Автор: Darwish, M. Mangani, L. Moukalled, F.
Название: The Finite Volume Method in Computational Fluid Dynamics : An Advanced Introduction with OpenFOAM and MATLAB
ISBN: 3319168738 ISBN-13(EAN): 9783319168739
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The Finite Volume Method in Computational Fluid Dynamics

Автор: Siparov Sergey
Название: Introduction to the Anisotropic Geometrodynamics
ISBN: 9814340839 ISBN-13(EAN): 9789814340830
Издательство: World Scientific Publishing
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Цена: 17107.00 р.
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Описание: The well-known observations of the flat rotation curves of spiral galaxies and of the gravitational lensing effect greatly exceeding the expectations based on the classical GRT can be explained without bringing in the notion of dark matter. This book offers a new approach to the challenging problems of modern physics, astrophysics, and cosmology.

Автор: Edoardo Benvenuto
Название: An Introduction to the History of Structural Mechanics
ISBN: 1461277515 ISBN-13(EAN): 9781461277514
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Theorists know that when, at last, theories began to appear, architects distrusted them, partly because they often disregarded details of importance in actual construction, partly because nobody but a mathematician could understand the aim and func- tion of a mathematical theory designed to represent an aspect of nature.

Автор: Blyth Stephen
Название: An Introduction to Quantitative Finance
ISBN: 0199666598 ISBN-13(EAN): 9780199666591
Издательство: Oxford Academ
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Цена: 6810.00 р.
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Описание: The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types. This book gives an insight into financial engineering while building on introductory probability courses by detailing one of the most fascinating applications of the subject.

Автор: Blyth, Stephen
Название: An Introduction to Quantitative Finance
ISBN: 019966658X ISBN-13(EAN): 9780199666584
Издательство: Oxford Academ
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Цена: 10138.00 р.
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Описание: The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types. This book gives an insight into financial engineering while building on introductory probability courses by detailing one of the most fascinating applications of the subject.

Автор: Bowman Gregory R.
Название: Introduction to Markov State Models and Their Application to
ISBN: 9400776055 ISBN-13(EAN): 9789400776050
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book introduces the mathematical foundations of Markov models and details how they can be used to analyze simulations and drive efficient simulations. It also presents some of the insights these models have yielded in a variety of applications.

Автор: Hayashi Masahito
Название: Introduction to Quantum Information Science
ISBN: 3662435012 ISBN-13(EAN): 9783662435014
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book presents the basics of quantum information, e.g., foundation of quantum theory, quantum algorithms, quantum entanglement, quantum entropies, quantum coding, quantum error correction and quantum cryptography. As important quantum protocols, this book contains quantum teleportation, quantum dense coding, quantum data compression.

Автор: Sullivan, T.J.
Название: Introduction to Uncertainty Quantification
ISBN: 3319233947 ISBN-13(EAN): 9783319233949
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are defined and an overview of the range of mathematical methods by which they can be achieved. Complete with exercises throughout, the book will equip readers with both theoretical understanding and practical experience of the key mathematical and algorithmic tools underlying the treatment of uncertainty in modern applied mathematics. Students and readers alike are encouraged to apply the mathematical methods discussed in this book to their own favorite problems to understand their strengths and weaknesses, also making the text suitable for a self-study. Uncertainty quantification is a topic of increasing practical importance at the intersection of applied mathematics, statistics, computation and numerous application areas in science and engineering. This text is designed as an introduction to UQ for senior undergraduate and graduate students with a mathematical or statistical background and also for researchers from the mathematical sciences or from applications areas who are interested in the field.