๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Direct methods for sparse matrices

โœ Scribed by Iain S. Duff, A. M. Erisman, John Ker Reid


Book ID
127456340
Publisher
Oxford University Press, USA
Year
1987
Tongue
English
Weight
2 MB
Series
Numerical Mathematics and Scientific Computation
Edition
OUP
Category
Library
ISBN
0198534213

No coin nor oath required. For personal study only.

โœฆ Synopsis


This book provides practical approaches to the efficient use of sparsity--a key to solving large problems in many fields, including computational science and engineering, where mathematical models give rise to very large systems of linear equations. The emphasis is on practicality, with conclusions based on concrete experience. Non-numeric computing techniques have been included as well as frequent illustrations in an attempt to bridge the gap between the written word and the working computer code. Exercises have been included to strengthen understanding of the material as well as to extend it for students and researchers in engineering, mathematics, and computer science.


๐Ÿ“œ SIMILAR VOLUMES


Direct methods for sparse matrices
โœ Iain S. Duff, A. M. Erisman, John Ker Reid ๐Ÿ“‚ Library ๐Ÿ“… 1986 ๐Ÿ› Clarendon Press; Oxford University Press ๐ŸŒ English โš– 3 MB

This book provides practical approaches to the efficient use of sparsity--a key to solving large problems in many fields, including computational science and engineering, where mathematical models give rise to very large systems of linear equations. The emphasis is on practicality, with conclusions

Direct methods for sparse matrices: I. S
โœ A.J. Osiadacz ๐Ÿ“‚ Article ๐Ÿ“… 1990 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 360 KB

THERE are a great number of engineers who regard the application of microprocessors in control to be a highly topical subject, but who, on the other hand, have not been provided with proper previous training to acquire an adequate basis for solving this type of problem. The needs of these engineers

Computational methods for sparse matrice
โœ C.M.M. Nex ๐Ÿ“‚ Article ๐Ÿ“… 1980 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 371 KB

This paper is a survey of methods currently available for processing sparse matrices in a digital computer; specifically in the solution of linear algebraic equations and the eigenproblem.