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: 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.
(9569 views)
Book cover: Templates for the Solution of Linear SystemsTemplates for the Solution of Linear Systems
by - Society for Industrial Mathematics
The book focuses on the use of iterative methods for solving large sparse systems of linear equations. General and reusable templates are introduced to meet the needs of both the traditional user and the high-performance specialist.
(11266 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.
(7707 views)
Book cover: Linear algebra via exterior productsLinear algebra via exterior products
by - Ludwig-Maximilians University
An introduction to the coordinate-free approach in basic finite-dimensional linear algebra. The reader should be already exposed to the elementary vector and matrix calculations. The author makes extensive use of the exterior product of vectors.
(11288 views)