Logo

Templates for the Solution of Linear Systems

Large book cover: Templates for the Solution of Linear Systems

Templates for the Solution of Linear Systems
by

Publisher: Society for Industrial Mathematics
ISBN/ASIN: 0898713285
ISBN-13: 9780898713282
Number of pages: 117

Description:
In this book, which focuses on the use of iterative methods for solving large sparse systems of linear equations, templates are introduced to meet the needs of both the traditional user and the high-performance specialist. Templates, a description of a general algorithm rather than the executable object or source code more commonly found in a conventional software library, offer whatever degree of customization the user may desire.

Download or read it online for free here:
Download link
(740 KB, PDF)

Similar books

Book cover: Numerical Methods for Large Eigenvalue ProblemsNumerical Methods for Large Eigenvalue Problems
by - SIAM
This book discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods for solving matrix eigenvalue problems that arise in various engineering applications.
(17416 views)
Book cover: Notes on Numerical Linear AlgebraNotes on Numerical Linear Algebra
by
Tutorial describing many of the standard numerical methods used in Linear Algebra. Topics include Gaussian Elimination, LU and QR Factorizations, The Singular Value Decomposition, Eigenvalues and Eigenvectors via the QR Method, etc.
(17033 views)
Book cover: Set Linear Algebra and Set Fuzzy Linear AlgebraSet Linear Algebra and Set Fuzzy Linear Algebra
by - InfoLearnQuest
Set linear algebras, introduced by the authors in this book, are the most generalized form of linear algebras. These structures make use of very few algebraic operations and are easily accessible to non-mathematicians as well.
(15721 views)
Book cover: Linear Algebra, Infinite Dimensions, and MapleLinear Algebra, Infinite Dimensions, and Maple
by - Georgia Tech
These notes are about linear operators on Hilbert Spaces. The text is an attempt to provide a way to understand the ideas without the students already having the mathematical maturity that a good undergraduate analysis course could provide.
(16512 views)