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: Linear Algebra C-4: Quadratic equations in two or three variablesLinear Algebra C-4: Quadratic equations in two or three variables
by - BookBoon
The book is a collection of solved problems in linear algebra, this fourth volume covers quadratic equations in two or three variables. All examples are solved, and the solutions usually consist of step-by-step instructions.
(10412 views)
Book cover: A Second Semester of Linear AlgebraA Second Semester of Linear Algebra
by - University of Colorado Denver
This book is written as a text for a second semester of linear algebra at the senior or first-year-graduate level. It is assumed that you already have successfully completed a first course in linear algebra and a first course in abstract algebra.
(14506 views)
Book cover: n-Linear Algebra of Type IIn-Linear Algebra of Type II
by - InfoLearnQuest
This book is a continuation of the book n-linear algebra of type I. Most of the properties that could not be derived or defined for n-linear algebra of type I is made possible in this new structure which is introduced in this book.
(8091 views)
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.
(9457 views)