Parallelism in Matrix Computations (Scientific Computation) - Image 1

£66.77

Springer Parallelism in Matrix Computations (Scientific Computation)

Name: Parallelism in Matrix Computations (Scientific Computation)
Brand: Springer
Price: 66.77 GBP
Availability: InStock

Computer Science

This is the most expensive it has ever been. Walk away.

£67 today · previous high £67 · all-time low £66

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 71 days · 71 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 71 days • 1 price levels

Days at Price

Price Analysis

Most common price: £67 (71 days, 100.0%)

Price range: £67 - £67

Price levels: 1 different prices over 71 days

Description

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 sparsematrix 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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 9402403175
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 23 October 2016
Listed Since: 25 October 2016

Barcode

No barcode data available

Springer Parallelism in Matrix Computations (Scientific Computation)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Scientific Parallel Computing

The Art of High Performance Computing for Computational Science, Vol. 1: Techniques of Speedup and Parallelization for General Purposes

Applied Parallel and Distributed Computing: 16

Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications (Wiley Series on Parallel and Distributed Computing)

Parallel Algorithms (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Parallel Programming for Modern High Performance Computing Systems

Parallel Programming for Modern High Performance Computing Systems

Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics): A practical guide with examples in C: 9

Introduction to Parallel Algorithms (Wiley Series on Parallel and Distributed Computing)

Parallel Programming: Practical Aspects, Models & Current Limitations (Mathematics Research Developments)

Parallele Algorithmen: 64 (Informatik-Fachberichte, 64)

Parallel Algorithms: 16 (Lecture Notes Series On Computing)

Springer Distributed Graph Analytics Programming and Languages

Parallel and High Performance Computing

High-Performance Scientific Computing: Algorithms and Applications

Parallel Algorithms (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Parallel Computing for Data Science: With Examples in R, C++ and CUDA: 28 (Chapman & Hall/CRC The R Series)

Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation

Parallel Numerical Algorithms: 4 (ICASE LaRC Interdisciplinary Series in Science and Engineering, 4)

Parallel Programming: for Multicore and Cluster Systems

Advanced Parallel Processing Technologies: 5th International Workshop, APPT 2003, Xiamen, China, September 17-19, 2003, Proceedings: 2834 (Lecture Notes in Computer Science, 2834)

High Performance Computing: Problem Solving with Parallel and Vector Architectures

High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)

Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science)