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Numerical Methods in Physics with Python, Alex Gezerlis


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Цена: 17424.00р.
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Автор: Alex Gezerlis
Название:  Numerical Methods in Physics with Python
ISBN: 9781009303859
Издательство: Cambridge Academ
Классификация:



ISBN-10: 1009303856
Обложка/Формат: Hardback
Страницы: 700
Вес: 0.18 кг.
Дата издания: 20.07.2023
Язык: English
Издание: 2 revised edition
Иллюстрации: Worked examples or exercises
Размер: 171 x 245 x 21
Читательская аудитория: General (us: trade)
Ключевые слова: Computer science,Mathematical modelling,Maths for scientists,Programming & scripting languages: general, SCIENCE / Physics / Mathematical & Computational
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.


Mathematical Methods for Physics and Engineering

Автор: Riley
Название: Mathematical Methods for Physics and Engineering
ISBN: 0521679710 ISBN-13(EAN): 9780521679718
Издательство: Cambridge Academ
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Цена: 7920.00 р.
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Описание: This highly acclaimed undergraduate textbook teaches all the mathematics for undergraduate courses in the physical sciences. Containing over 800 exercises, half come with hints and answers and, in a separate manual, complete worked solutions. The remaining exercises are intended for unaided homework; full solutions are available to instructors.

Numerical Methods in Physics with Python

Автор: Alex Gezerlis
Название: Numerical Methods in Physics with Python
ISBN: 1009303864 ISBN-13(EAN): 9781009303866
Издательство: Cambridge Academ
Рейтинг:
Цена: 7918.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.

Numerical Methods in Fluid Dynamics

Автор: Maurice Holt
Название: Numerical Methods in Fluid Dynamics
ISBN: 3540127992 ISBN-13(EAN): 9783540127994
Издательство: Springer
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Цена: 12537.00 р.
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Описание: From the reviews of the first edition: "This book is directed to graduate students and research workers interested in the numerical solution of problems of fluid dynamics, primarily those arising in high speed flow.

Applied and Numerical Partial Differential Equations

Автор: W. Fitzgibbon; Y.A. Kuznetsov; Pekka Neittaanm?ki;
Название: Applied and Numerical Partial Differential Equations
ISBN: 9400731280 ISBN-13(EAN): 9789400731288
Издательство: Springer
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Цена: 12196.00 р.
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Описание: Standing at the intersection of mathematics and scientific computing, this collection of state-of-the-art papers in nonlinear PDEs examines their applications to subjects as diverse as dynamical systems, computational mechanics, and the mathematics of finance.

Functional Analysis, Calculus of Variations and Numerical Methods for Models in Physics and Engineering

Автор: Botelho, Fabio Silva
Название: Functional Analysis, Calculus of Variations and Numerical Methods for Models in Physics and Engineering
ISBN: 0367510030 ISBN-13(EAN): 9780367510039
Издательство: Taylor&Francis
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Цена: 11329.00 р.
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Mathematical Modeling and Numerical Methods in Chemical Physics and Mechanics

Автор: Aliev, Ali V.
Название: Mathematical Modeling and Numerical Methods in Chemical Physics and Mechanics
ISBN: 1774635658 ISBN-13(EAN): 9781774635650
Издательство: Taylor&Francis
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Цена: 12707.00 р.
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A Student`s Guide to Numerical Methods

Автор: Hutchinson
Название: A Student`s Guide to Numerical Methods
ISBN: 1107479509 ISBN-13(EAN): 9781107479500
Издательство: Cambridge Academ
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Цена: 4118.00 р.
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Описание: Written for senior undergraduates in all disciplines of physical science and engineering, the plain language style of this concise guide to numerical methods concentrates on developing computational skills and avoids potentially intimidating formal mathematical proofs. Including numerous worked examples and exercises, this textbook explains the practical realities of numerical techniques.

A Student`s Guide to Numerical Methods

Автор: Hutchinson
Название: A Student`s Guide to Numerical Methods
ISBN: 1107095670 ISBN-13(EAN): 9781107095670
Издательство: Cambridge Academ
Рейтинг:
Цена: 8078.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Written for senior undergraduates in all disciplines of physical science and engineering, the plain language style of this concise guide to numerical methods concentrates on developing computational skills and avoids potentially intimidating formal mathematical proofs. Including numerous worked examples and exercises, this textbook explains the practical realities of numerical techniques.

Methods of Celestial Mechanics

Автор: Gerhard Beutler; Leos Mervart; Andreas Verdun
Название: Methods of Celestial Mechanics
ISBN: 3642148573 ISBN-13(EAN): 9783642148576
Издательство: Springer
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Цена: 9146.00 р.
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Описание: In cooperation with Prof. Leos Mervart and Dr. Andreas Verdun

Numerical Python in Astronomy and Astrophysics: A Practical Guide to Astrophysical Problem Solving

Автор: Schmidt Wolfram, Vцlschow Marcel
Название: Numerical Python in Astronomy and Astrophysics: A Practical Guide to Astrophysical Problem Solving
ISBN: 3030703460 ISBN-13(EAN): 9783030703462
Издательство: Springer
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Цена: 6707.00 р.
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Описание: This book provides a solid foundation in the Python programming language, numerical methods, and data analysis, all embedded within the context of astronomy and astrophysics.

Materials Discovery and Design

Автор: Turab Lookman
Название: Materials Discovery and Design
ISBN: 3319994646 ISBN-13(EAN): 9783319994642
Издательство: Springer
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Цена: 20733.00 р.
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Описание: This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.

Numerical relativity: starting from scratch

Автор: Baumgarte, Thomas W. (bowdoin College, Maine) Shapiro, Stuart L. (university Of Illinois, Urbana-champaign)
Название: Numerical relativity: starting from scratch
ISBN: 1108928250 ISBN-13(EAN): 9781108928250
Издательство: Cambridge Academ
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Цена: 7286.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Numerical relativity has emerged as the key tool to model gravitational waves that are emitted when two black holes collide. This book provides a pedagogical, accessible and concise introduction to the subject for non-experts, acquainting them with the key concepts underlying publicly available numerical relativity codes.


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