Algorithms and Computations, John Staples; Peter Eades; Naoki Katoh; Alistair M
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
Описание: Presenting the proceedings of this international workshop, this text discusses the co-operation of different scientific communities in computational science, concentrating especially on many widely-used numerical algorithms and their applications on parallel computers.
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: 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: 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: 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: 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: 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.
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