Linear Algebra and Matrix Computations With MATLAB, Dingyu Xue
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: 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: ?ke Bj?rck Название: Numerical Methods in Matrix Computations ISBN: 3319356143 ISBN-13(EAN): 9783319356143 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue problems.
Автор: Bjorck, Ake Название: Numerical methods in matrix computations ISBN: 3319050885 ISBN-13(EAN): 9783319050881 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Numerical Methods in Matrix Computations
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: R. Baker Kearfott; V. Kreinovich Название: Applications of Interval Computations ISBN: 0792338472 ISBN-13(EAN): 9780792338475 Издательство: Springer Рейтинг: Цена: 33401.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text contains primarily survey articles of actual industrial applications of numerical analysis with automatic result verification and of interval representation of data. Underlying topics include branch and bound algorithms for global optimization, and constraint propagation.
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: Patrick DeWilde; Alle-Jan van der Veen Название: Time-Varying Systems and Computations ISBN: 1441950451 ISBN-13(EAN): 9781441950451 Издательство: Springer Рейтинг: Цена: 27245.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Complex function theory and linear algebra provide much of the basic mathematics needed by engineers engaged in numerical computations, signal processing or control. The transfer function of a linear time invariant system is a function of the complex vari- able s or z and it is analytic in a large part of the complex plane. Many important prop- erties of the system for which it is a transfer function are related to its analytic prop- erties. On the other hand, engineers often encounter small and large matrices which describe (linear) maps between physically important quantities. In both cases similar mathematical and computational problems occur: operators, be they transfer functions or matrices, have to be simplified, approximated, decomposed and realized. Each field has developed theory and techniques to solve the main common problems encountered. Yet, there is a large, mysterious gap between complex function theory and numerical linear algebra. For example, complex function theory has solved the problem to find analytic functions of minimal complexity and minimal supremum norm that approxi- e. g., as optimal mate given values at strategic points in the complex plane. They serve approximants for a desired behavior of a system to be designed. No similar approxi- mation theory for matrices existed until recently, except for the case where the matrix is (very) close to singular.
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: 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
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
