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Scientific Computing and Algorithms in Industrial Simulations, Michael Griebel; Anton Sch?ller; Marc Alexander Sc


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Цена: 14635.00р.
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Автор: Michael Griebel; Anton Sch?ller; Marc Alexander Sc
Название:  Scientific Computing and Algorithms in Industrial Simulations
ISBN: 9783319873176
Издательство: Springer
Классификация:




ISBN-10: 3319873172
Обложка/Формат: Soft cover
Страницы: 376
Вес: 0.59 кг.
Дата издания: 2017
Язык: English
Издание: Softcover reprint of
Иллюстрации: 40 illustrations, color; viii, 376 p. 40 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Подзаголовок: Projects and Products of Fraunhofer SCAI
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The contributions gathered here provide an overview of current research projects and selected software products of the Fraunhofer Institute for Algorithms and Scientific Computing SCAI.


Hands-On Programming with R: Write Your Own Functions and Simulations

Автор: Garrett Grolemund
Название: Hands-On Programming with R: Write Your Own Functions and Simulations
ISBN: 1449359019 ISBN-13(EAN): 9781449359010
Издательство: Wiley
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Цена: 5067.00 р.
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Описание: Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you`ll learn how to load data, assemble and disassemble data objects, navigate R`s environment system, write your own functions, and use all of R`s programming tools

Scintific programming: C-Language,Algorithms and Models in Science

Автор: Luciano M Barone
Название: Scintific programming: C-Language,Algorithms and Models in Science
ISBN: 9814513407 ISBN-13(EAN): 9789814513401
Издательство: World Scientific Publishing
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Цена: 36432.00 р.
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Описание: The book teaches a student to model a scientific problem and write a computer program in C language to solve that problem. To do that, the book first introduces the student to the basics of C language, dealing with all syntactical aspects, but without the pedantic content of a typical programming language manual. Then the book describes and discusses many algorithms commonly used in scientific applications (e.g. searching, graphs, statistics, equation solving, Monte Carlo methods etc.).This important book fills a gap in current available bibliography. There are many manuals for programming in C, but they never explain programming technicalities to solve a given problem. This book illustrates many relevant algorithms and shows how to translate them in a working computer program.

Gmdh-Methodology And Implementation In Matlab

Автор: Onwubolu Godfrey C
Название: Gmdh-Methodology And Implementation In Matlab
ISBN: 1783266120 ISBN-13(EAN): 9781783266128
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
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Описание: Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization.

Scientific Computing and Algorithms in Industrial Simulations

Автор: Michael Griebel; Anton Sch?ller; Marc Alexander Sc
Название: Scientific Computing and Algorithms in Industrial Simulations
ISBN: 3319624571 ISBN-13(EAN): 9783319624570
Издательство: Springer
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Цена: 14635.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The contributions gathered here provide an overview of current research projects and selected software products of the Fraunhofer Institute for Algorithms and Scientific Computing SCAI.

Scientific computing with case studies

Автор: O`leary, Dianne P. (university Of Maryland, Colleg
Название: Scientific computing with case studies
ISBN: 0898716667 ISBN-13(EAN): 9780898716665
Издательство: Mare Nostrum (Eurospan)
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Цена: 14045.00 р.
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Описание: This book is a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis are emphasized, and the Matlab algorithms are grounded in sound principles of software design and understanding of machine arithmetic and memory management. Nineteen case studies provide experience in mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. The topics included go well beyond the standard first-course syllabus, introducing important problems such as differential-algebraic equations and conic optimization problems, and important solution techniques such as continuation methods. The case studies cover a wide variety of fascinating applications, from modeling the spread of an epidemic to determining truss configurations.


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