Abstract
The physical relevance and importance of eigenvalues and eigenvectors. The power method and the QR method for calculating all or individual eigenvalues and eigenvectors of a given matrix.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The word eigen translates from the German as own, intrinsic or inherent.
- 2.
John G.F. Francis, English computer scientist (1934–). Working independently Russian mathematician Vera Kublanovskaya also proposed the method in the same year.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Woodford, C., Phillips, C. (2012). Eigenvalues and Eigenvectors. In: Numerical Methods with Worked Examples: Matlab Edition. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1366-6_10
Download citation
DOI: https://doi.org/10.1007/978-94-007-1366-6_10
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-1365-9
Online ISBN: 978-94-007-1366-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)