Can I read Parallelism in Matrix Computations (Scientific Computation) on EtoBox?

Parallelism in Matrix Computations (Scientific Computation) by Efstratios Gallopoulos, Bernard Philippe and Ahmed H. Sameh is a nonfiction available to read on EtoBox.

What is Parallelism in Matrix Computations (Scientific Computation) about?

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 giv

Who reads Parallelism in Matrix Computations (Scientific Computation)?

Author

Efstratios Gallopoulos, Bernard Philippe and Ahmed H. Sameh

Publisher

Springer Netherlands, Dordrecht

Published

2015

Language

EN

ISBN

9789401771870

Category

nonfiction

Subjects

Science, Engineering, Mathematics