Numerical Computations with GPUs, Volodymyr Kindratenko

Автор: Xiu, Dongbin
Название: Numerical methods for stochastic computations
ISBN: 0691142122 ISBN-13(EAN): 9780691142128
Издательство: Wiley
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Цена: 63360.00 T
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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
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Цена: 139310.00 T
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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: Volodymyr Kindratenko
Название: Numerical Computations with GPUs
ISBN: 3319065475 ISBN-13(EAN): 9783319065472
Издательство: Springer
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Цена: 88500.00 T
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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: Bjorck, Ake
Название: Numerical methods in matrix computations
ISBN: 3319050885 ISBN-13(EAN): 9783319050881
Издательство: Springer
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Цена: 79190.00 T
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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
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Цена: 87060.00 T
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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: Jacques Periaux; Stephane Lanteri; Panagiotis Chav
Название: Optimum Aerodynamic Design & Parallel Navier-Stokes Computations ECARP — European Computational Aerodynamics Research Project
ISBN: 3322901955 ISBN-13(EAN): 9783322901958
Издательство: Springer
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Цена: 113190.00 T
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Описание: This volume entitled "European Computational Aerodynamics Research Project (ECARP)" contains the contributions of partners presented in two work- shops focused on the following areas: Task 3 on Optimum Design and Task 4.2 on Navier Stokes Flow algorithms on Massively Parallel Processors. ECARP has been supported by the European Union (EU) through the Indus- trial and Materials Technology Programme, Area 3 Aeronautics, with the Third Research Framework Programme (1990-1994). Part A of this volume is focused on computational constrained optimization as a follow up of the EU research project" Optimum Design in Aerodynamics," (AERO-S9-0026) dealing with more viscous flow based real applications. It pro- vides the reader with a set of optimization tools and referenced data useful in modern aerodynamic design. Task 3 of the project entitled "Optimum Design" brought together 13 Euro- pean partners from the academic and industrial aeronautic oriented community showing state of the art expertise in traditional automated optimization software on current computer technology to improve the capability to optimize aircraft shapes.

Автор: Langtangen, Hans Petter
Название: Programming for computations - matlab/octave
ISBN: 3319324519 ISBN-13(EAN): 9783319324517
Издательство: Springer
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Цена: 46570.00 T
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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: Joab Winkler; Mahesan Niranjan
Название: Uncertainty in Geometric Computations
ISBN: 1461352525 ISBN-13(EAN): 9781461352525
Издательство: Springer
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Цена: 46570.00 T
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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: William J. Stewart
Название: Computations with Markov Chains
ISBN: 1461359430 ISBN-13(EAN): 9781461359432
Издательство: Springer
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Цена: 139750.00 T
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Описание: Proceedings of the 2nd International Workshop on the Numerical Solution of Markov Chains

Автор: Keigo Watanabe; M.M.A. Hashem
Название: Evolutionary Computations
ISBN: 3642058876 ISBN-13(EAN): 9783642058875
Издательство: Springer
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Цена: 139750.00 T
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Описание: Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management tasks - therefore receiving considerable attention from scientists and engineers during the last decade.

Автор: John Staples; Peter Eades; Naoki Katoh; Alistair M
Название: Algorithms and Computations
ISBN: 3540605738 ISBN-13(EAN): 9783540605737
Издательство: Springer
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Цена: 83850.00 T
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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: Enrique Alba
Название: Parallel Evolutionary Computations
ISBN: 3642069398 ISBN-13(EAN): 9783642069390
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book focuses on the aspects related to the parallelization of evolutionary computations, such as parallel genetic operators, parallel fitness evaluation, distributed genetic algorithms, and parallel hardware implementations, as well as on their impact on several applications.