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Mathematical Modelling of Physical Systems, Michel Cessenat


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Цена: 13974.00р.
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Автор: Michel Cessenat
Название:  Mathematical Modelling of Physical Systems
ISBN: 9783030069124
Издательство: Springer
Классификация:


ISBN-10: 3030069125
Обложка/Формат: Soft cover
Страницы: 505
Вес: 0.80 кг.
Дата издания: 2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 2 illustrations, black and white; xvii, 505 p. 2 illus.
Размер: 234 x 156 x 27
Читательская аудитория: General (us: trade)
Основная тема: Mathematics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Comprehensive and thorough, this monograph emphasizes the main role differential geometry and convex analysis play in the understanding of physical, chemical, and mechanical notions. Central focus is placed on specifying the agreement between the functional framework and its physical necessity and on making clear the intrinsic character of physical elements, independent from specific charts or frames. The book is divided into four sections, covering thermostructure, classical mechanics, fluid mechanics modelling, and behavior laws. An extensive appendix provides notations and definitions as well as brief explanation of integral manifolds, symplectic structure, and contact structure. Plenty of examples are provided throughout the book, and reviews of basic principles in differential geometry and convex analysis are presented as needed. This book is a useful resource for graduate students and researchers in the field.
Дополнительное описание: 1. Thermostructure.- 2. Classical Mechanics.- 3. Fluid mechanics modelling.- 4. Behavior Laws.- 5. Appendix.



Linear Algebra and Learning from Data

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 9978.00 р.
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Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Principles of Computational Cell Biology

Автор: Helms, Volkhard
Название: Principles of Computational Cell Biology
ISBN: 3527333584 ISBN-13(EAN): 9783527333585
Издательство: Wiley
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Цена: 11880.00 р.
Наличие на складе: Поставка под заказ.

Описание: This successful text, now in its 2nd ed. , provides an ideal introduction into the possibilities of modeling on a cell biology level. It extends the strengths of the first edition even further while keeping faithful to the trusted hands-on concept and keeping math to the minimum.

Practical Bayesian Inference: A Primer for Physical Scientists

Автор: Bailer-Jones Coryn A. L.
Название: Practical Bayesian Inference: A Primer for Physical Scientists
ISBN: 1107192110 ISBN-13(EAN): 9781107192119
Издательство: Cambridge Academ
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Цена: 13622.00 р.
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Описание: This volume introduces the major concepts of probability and statistics and the computational tools students need to extract information from data in the presence of uncertainty. Using a simple and intuitive Bayesian approach, the emphasis throughout is on the principles and showing how these methods can be implemented in practice.

Physical Mathematics

Автор: Kevin Cahill
Название: Physical Mathematics
ISBN: 1108470033 ISBN-13(EAN): 9781108470032
Издательство: Cambridge Academ
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Цена: 11880.00 р.
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Описание: Physical Mathematics explains simply and succinctly the mathematics graduate students and professional physicists need to succeed in their courses and research. The book is unique in its clarity and scope with examples drawn from contemporary physics.

Modeling and Simulation Support for System of Systems Engineering Applications

Автор: Rainey Larry B., Tolk Andreas
Название: Modeling and Simulation Support for System of Systems Engineering Applications
ISBN: 1118460316 ISBN-13(EAN): 9781118460313
Издательство: Wiley
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Цена: 19317.00 р.
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Описание: . a much-needed handbook with contributions from well-chosen practitioners.

Systems Dependability Assessment: Benefits of Petri Net Models

Автор: Jean-Fran?§ois Aubry, Nicolae Brinzei, Mohammed-Habib Mazouni
Название: Systems Dependability Assessment: Benefits of Petri Net Models
ISBN: 1848219911 ISBN-13(EAN): 9781848219915
Издательство: Wiley
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Цена: 22010.00 р.
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Описание:

Petri Nets were defined for the study of discrete events systems and later extended for many purposes including dependability assessment. In our knowledge, no book deals specifically with the use of different type of PN to dependability. We propose in addition to bring a focus on the adequacy of Petri net types to the study of various problems related to dependability such as risk analysis and probabilistic assessment.

In the first part, the basic models of PN and some useful extensions are briefly recalled. In the second part, the PN are used as a formal model to describe the evolution process of critical system in the frame of an ontological approach. The third part focuses on the stochastic Petri Nets (SPN) and their use in dependability assessment. Different formal models of SPN are formally presented (semantics, evolution rules...) and their equivalence with the corresponding class of Markov processes to get an analytical assessment of dependability. Simplification methods are proposed in order to reduce the size of analytical model and to make it more calculable. The introduction of some concepts specific to high level PN allows too the consideration of complex systems. Few applications in the field of the instrumentation and control (l&C) systems, safety integrated systems (SIS) emphasize the benefits of SPN for dependability assessment.

Thinking About Equations - A Practical Guide for Developing Mathematical Intuition in the Physical Sciences and Engineering

Автор: Bernstein
Название: Thinking About Equations - A Practical Guide for Developing Mathematical Intuition in the Physical Sciences and Engineering
ISBN: 0470186208 ISBN-13(EAN): 9780470186206
Издательство: Wiley
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Цена: 10922.00 р.
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Описание: Intuition is one of the most difficult skills to teach and develop. In Thinking About Equations , the authors share their years of teaching experience to help students develop intuition and skills for solving mathematical problems related to engineering and the physical sciences.

Mathematics for economics and  finance: methods and modelling

Автор: Anthony, M, , Biggs N.
Название: Mathematics for economics and finance: methods and modelling
ISBN: 0521559138 ISBN-13(EAN): 9780521559133
Издательство: Cambridge Academ
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Цена: 7126.00 р.
Наличие на складе: Поставка под заказ.

Описание: An introduction to mathematical modelling in economics and finance for students of both economics and mathematics. Throughout, the stress is firmly on how the mathematics relates to economics, illustrated with copious examples and exercises that will foster depth of understanding.

Mathematical Modelling of Physical Systems

Автор: Cessenat
Название: Mathematical Modelling of Physical Systems
ISBN: 3319947575 ISBN-13(EAN): 9783319947570
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Comprehensive and thorough, this monograph emphasizes the main role differential geometry and convex analysis play in the understanding of physical, chemical, and mechanical notions. The book is divided into four sections, covering thermostructure, classical mechanics, fluid mechanics modelling, and behavior laws.


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