Applied Parallel Computing. Computations in Physics, Chemistry and Engineering Science, Jack Dongarra; Kaj Madsen; Jerzy Wasniewski
Автор: Xiu, Dongbin Название: Numerical methods for stochastic computations ISBN: 0691142122 ISBN-13(EAN): 9780691142128 Издательство: Wiley Рейтинг: Цена: 9504.00 р. Наличие на складе: Поставка под заказ.
Описание: Focusing on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). It illustrates through examples Basic gPC methods, and includes polynomial approximation theory and probability theory.
Автор: Joseph Awange; B?la Pal?ncz Название: Geospatial Algebraic Computations ISBN: 3319254634 ISBN-13(EAN): 9783319254630 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It is in realization that such huge amount of data requires efficient and robust mathematical solutions that this third edition of the book extends the second edition by introducing three new chapters: Robust parameter estimation, Multiobjective optimization and Symbolic regression.
Автор: Langtangen, Hans Petter Название: Programming for computations - matlab/octave ISBN: 3319324519 ISBN-13(EAN): 9783319324517 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents computer programming as a key method for solving mathematical problems. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.
Автор: Efstratios Gallopoulos; Bernard Philippe; Ahmed H. Название: Parallelism in Matrix Computations ISBN: 9402403175 ISBN-13(EAN): 9789402403176 Издательство: Springer Рейтинг: Цена: 13059.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book is primarily intended as a research monograph that could also be used in graduate courses for the design of parallel algorithms in matrix computations.
It assumes general but not extensive knowledge of numerical linear algebra, parallel architectures, and parallel programming paradigms.
The book consists of four parts: (I) Basics; (II) Dense and Special Matrix Computations; (III) Sparse Matrix Computations; and (IV) Matrix functions and characteristics. Part I deals with parallel programming paradigms and fundamental kernels, including reordering schemes for sparse matrices. Part II is devoted to dense matrix computations such as parallel algorithms for solving linear systems, linear least squares, the symmetric algebraic eigenvalue problem, and the singular-value decomposition. It also deals with the development of parallel algorithms for special linear systems such as banded, Vandermonde, Toeplitz, and block Toeplitz systems. Part III addresses sparse matrix computations: (a) the development of parallel iterative linear system solvers with emphasis on scalable preconditioners, (b) parallel schemes for obtaining a few of the extreme eigenpairs or those contained in a given interval in the spectrum of a standard or generalized symmetric eigenvalue problem, and (c) parallel methods for computing a few of the extreme singular triplets. Part IV focuses on the development of parallel algorithms for matrix functions and special characteristics such as the matrix pseudospectrum and the determinant. The book also reviews the theoretical and practical background necessary when designing these algorithms and includes an extensive bibliography that will be useful to researchers and students alike.
The book brings together many existing algorithms for the fundamental matrix computations that have a proven track record of efficient implementation in terms of data locality and data transfer on state-of-the-art systems, as well as several algorithms that are presented for the first time, focusing on the opportunities for parallelism and algorithm robustness.
Автор: Joab Winkler; Mahesan Niranjan Название: Uncertainty in Geometric Computations ISBN: 1461352525 ISBN-13(EAN): 9781461352525 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains the proceedings of the workshop Uncertainty in Geomet- ric Computations that was held in Sheffield, England, July 5-6, 2001. The applications of computer modelling are large and diverse, but the workshop focussed on the management of un- certainty in three areas : Geometric modelling, computer vision, and computer graphics.
Автор: D.E. Grierson; P. Hajela Название: Emergent Computing Methods in Engineering Design ISBN: 3540608737 ISBN-13(EAN): 9783540608738 Издательство: Springer Рейтинг: Цена: 34799.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Includes papers that show the tremendous potential of emerging computing paradigms such as genetic algorithms, evolutionary computing, and neural networks for solving problems of engineering design.
Автор: Wolfgang E. Nagel; Dietmar B. Kr?ner; Michael M. R Название: High Performance Computing in Science and Engineering `10 ISBN: 3662506157 ISBN-13(EAN): 9783662506158 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As HLRS operates the largest NEC SX-8 vector system in the world, this book gives an excellent insight into the potential of vector systems, covering the main methods in high performance computing.
Автор: John Staples; Peter Eades; Naoki Katoh; Alistair M Название: Algorithms and Computations ISBN: 3540605738 ISBN-13(EAN): 9783540605737 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers in this text address aspects of research and advanced applications of algorithms and computations. Topics covered include graph theory and graph algorithms, computational geometry, computational logics, searching and sorting, approximation and optimization, and algebraic manipulation.
Автор: Volodymyr Kindratenko Название: Numerical Computations with GPUs ISBN: 3319379941 ISBN-13(EAN): 9783319379944 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book brings together research on numerical methods adapted for Graphics Processing Units (GPUs). This book also serves as a GPU implementation manual for many numerical algorithms, sharing tips on GPUs that can increase application efficiency.
Автор: William J. Stewart Название: Computations with Markov Chains ISBN: 1461359430 ISBN-13(EAN): 9781461359432 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the 2nd International Workshop on the Numerical Solution of Markov Chains
Автор: Jerzy Wasniewski; Jack Dongarra; Kaj Madsen; Dorte Название: Applied Parallel Computing. Industrial Computation and Optimization ISBN: 3540620958 ISBN-13(EAN): 9783540620952 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains revised full versions of 45 contributed conference papers, together with 31 invited presentations. The papers address all current aspects of applied parallel computing relevant to industrial computations. The most important numerical algorithms are reviewed.
Автор: Wolfgang E. Nagel; Willi J?ger Название: High Performance Computing in Science and Engineering ` 06 ISBN: 3642071600 ISBN-13(EAN): 9783642071607 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the state-of-the-art in simulation on supercomputers. The reports cover all fields of computational science and engineering ranging from CFD via computational physics and chemistry to computer science with a special emphasis on industrially relevant applications.
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