Parallel scientific computing, Trobec, Roman Kosec, Gregor
Автор: Luis R.J. Costa; Janne Roos Название: Scientific Computing in Electrical Engineering SCEE 2008 ISBN: 3642122930 ISBN-13(EAN): 9783642122934 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of 65 selected papers presented at the 7th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in Espoo, Finland, in 2008.
Автор: Raimondas Ciegis; David Henty; Bo K?gstr?m; Julius Название: Parallel Scientific Computing and Optimization ISBN: 1441918841 ISBN-13(EAN): 9781441918840 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. It includes surveys written by 23 notable researchers in the field and a wide range of industrial applications.
Автор: Pekka Manninen; Per ?ster Название: Applied Parallel and Scientific Computing ISBN: 3642368026 ISBN-13(EAN): 9783642368028 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume constitutes the refereed proceedings of the 11th International Conference on Applied Parallel and Scientific Computing, PARA 2012, held in Helsinki, Finland, in June 2012.
Описание: Numerical Recipes in Fortran 90 starts with a detailed introduction to the Fortran 90 language and then present the basic concepts of parallel programming. All 350+ routines from the second edition of Numerical Recipes are presented in Fortran 90, many reworked to be `parallel-ready` and to use Fortran 90`s advanced features.
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) Рейтинг: Цена: 14045.00 р. Наличие на складе: Нет в наличии.
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.
Описание: This series aims to cover the major aspects of numerical analysis. The volume covers the techniques of scientific computing, numerical methods for solids and solution of equations in R.
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