Logo

Numerical Methods for Large Eigenvalue Problems

Large book cover: Numerical Methods for Large Eigenvalue Problems

Numerical Methods for Large Eigenvalue Problems
by

Publisher: SIAM
ISBN/ASIN: 1611970725
ISBN-13: 9781611970722
Number of pages: 285

Description:
This book discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications.

Home page url

Download or read it online for free here:
Download link
(2.2MB, PDF)

Similar books

Book cover: Super Linear AlgebraSuper Linear Algebra
by - InfoQuest
In this book, the authors introduce the notion of Super linear algebra and super vector spaces using the definition of super matrices defined by Horst (1963). This book expects the readers to be well-versed in linear algebra.
(14509 views)
Book cover: Linear Algebra C-2: Geometrical Vectors, Vector Spaces and Linear MapsLinear Algebra C-2: Geometrical Vectors, Vector Spaces and Linear Maps
by - BookBoon
The book is a collection of solved problems in linear algebra. The second volume covers geometrical vectors, vector spaces and linear maps. All examples are solved, and the solutions usually consist of step-by-step instructions.
(12517 views)
Book cover: Introduction to Vectors and Tensors Volume 1: Linear and Multilinear AlgebraIntroduction to Vectors and Tensors Volume 1: Linear and Multilinear Algebra
by - Springer
This book presents the basics of vector and tensor analysis for science and engineering students. Volume 1 covers algebraic structures and a modern introduction to the algebra of vectors and tensors. Clear presentation of mathematical concepts.
(17008 views)
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.
(12504 views)