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: Linear AlgebraLinear Algebra
by - University of California
From the table of contents: K-modules and linear transformations; Linear independence, spanning, bases, and dimension; Coordinates, column vectors, and matrices; Eigenstuff; Multilinear algebra and tensors; Inner-product spaces; Applications.
(7901 views)
Book cover: Special Set Linear Algebra and Special Set Fuzzy Linear AlgebraSpecial Set Linear Algebra and Special Set Fuzzy Linear Algebra
by - CuArt
Special Set Linear Algebras introduced by the authors in this free book is an extension of Set Linear Algebras, which are the most generalized form of linear algebras. These structures can be applied to multi-expert models.
(11882 views)
Book cover: Notes on Linear AlgebraNotes on Linear Algebra
by - Queen Mary, University of London
On the theoretical side, we deal with vector spaces, linear maps, and bilinear forms. On the practical side, the subject is really about one thing: matrices. This module is a mixture of abstract theory and concrete calculations with matrices.
(12416 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.
(20566 views)