- About MAA
- Membership
- MAA Publications
- Periodicals
- Blogs
- MAA Book Series
- MAA Press (an imprint of the AMS)
- MAA Notes
- MAA Reviews
- Mathematical Communication
- Information for Libraries
- Author Resources
- Advertise with MAA
- Meetings
- Competitions
- Programs
- Communities
- MAA Sections
- SIGMAA
- MAA Connect
- Students
- MAA Awards
- Awards Booklets
- Writing Awards
- Teaching Awards
- Service Awards
- Research Awards
- Lecture Awards
- Putnam Competition Individual and Team Winners
- D. E. Shaw Group AMC 8 Awards & Certificates
- Maryam Mirzakhani AMC 10 A Awards & Certificates
- Two Sigma AMC 10 B Awards & Certificates
- Jane Street AMC 12 A Awards & Certificates
- Akamai AMC 12 B Awards & Certificates
- High School Teachers
- News
Comments
assumes only basic knowledge of linear algebra
This 10-page document gives an introduction to numerical mathods for computing eigenvalues and eigenvectors. The document is fairly self-contained, assuming only basic knowledge of linear algebra. (A definition of eigenvalue and eigenvector is provided, but it would be better if the reader has had a more comprehensive introduction.) Numerical methods described include power, inverse power, Raleigh quotient, simultaneous iteration, and QR. The methods are compared and contrasted.
compares and contrasts five iterative methods
PDF file that compares and contrasts five iterative methods for computing eigenvalues and eigenvectors. The article is self-contained and well-written but may be too advanced for an introductory linear algebra course.