Eigenvalues of Matrices

Eigenvalues of Matrices
Author :
Publisher : SIAM
Total Pages : 428
Release :
ISBN-10 : 9781611972450
ISBN-13 : 1611972450
Rating : 4/5 (450 Downloads)

Book Synopsis Eigenvalues of Matrices by : Francoise Chatelin

Download or read book Eigenvalues of Matrices written by Francoise Chatelin and published by SIAM. This book was released on 2013-01-03 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and accessible guide to the calculation of eigenvalues of matrices, ideal for undergraduates, or researchers/engineers in industry.


Eigenvalues of Matrices Related Books

Eigenvalues of Matrices
Language: en
Pages: 428
Authors: Francoise Chatelin
Categories: Mathematics
Type: BOOK - Published: 2013-01-03 - Publisher: SIAM

DOWNLOAD EBOOK

A comprehensive and accessible guide to the calculation of eigenvalues of matrices, ideal for undergraduates, or researchers/engineers in industry.
A First Course in Linear Algebra
Language: en
Pages: 586
Authors: Kenneth Kuttler
Categories: Algebras, Linear
Type: BOOK - Published: 2020 - Publisher:

DOWNLOAD EBOOK

"A First Course in Linear Algebra, originally by K. Kuttler, has been redesigned by the Lyryx editorial team as a first course for the general students who have
Numerical Methods for Large Eigenvalue Problems
Language: en
Pages: 292
Authors: Yousef Saad
Categories: Mathematics
Type: BOOK - Published: 2011-01-01 - Publisher: SIAM

DOWNLOAD EBOOK

This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numeri
Bounds for the Eigenvalues of a Matrix
Language: en
Pages: 52
Authors: Kenneth R. Garren
Categories: Eigenvalues
Type: BOOK - Published: 1968 - Publisher:

DOWNLOAD EBOOK

The Matrix Eigenvalue Problem
Language: en
Pages: 443
Authors: David S. Watkins
Categories: Mathematics
Type: BOOK - Published: 2007-01-01 - Publisher: SIAM

DOWNLOAD EBOOK

An in-depth, theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems.