Concurrent Scientific Computing, Eric F. Van de Velde

Автор: Luis R.J. Costa; Janne Roos
Название: Scientific Computing in Electrical Engineering SCEE 2008
ISBN: 3642122930 ISBN-13(EAN): 9783642122934
Издательство: Springer
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Цена: 232910.00 T
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
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Цена: 130430.00 T
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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: CIARLET
Название: TECHNIQUES OF SCIENTIFIC COMPUTING (PART 1) - SOLUTIONS OF EQUATI
ISBN: 0444899286 ISBN-13(EAN): 9780444899286
Издательство: Elsevier Science
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Цена: 53990.00 T
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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.

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: 93630.00 T
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.