Lanczos algorithm for symmetric eigenvalue problems
Conference
·
OSTI ID:5171549
The Lanczos algorithm was originally used to tridiagonalize symmetric matrices, but it was soon replaced by more effective methods based on explicit orthogonal similarity transformations. The algorithm was later revived as an effective scheme for solving sparse symmetric eigenvalue problems. The historical development and the current state of the Lanczos algorithm are surveyed.
- Research Organization:
- Union Carbide Corp., Oak Ridge, TN (USA). Nuclear Div.
- Sponsoring Organization:
- USDOE Office of Energy Research (ER)
- DOE Contract Number:
- W-7405-ENG-26
- OSTI ID:
- 5171549
- Report Number(s):
- CONF-800733--1
- Country of Publication:
- United States
- Language:
- English
Similar Records
Block Lanczos software for symmetric eigenvalue problems. [SNLASO, DNLASO, SILASO, DILASO, in FORTRAN IV]
A parallel Lanczos method for symmetric generalized eigenvalue problems
A parallel Lanczos method for symmetric generalized eigenvalue problems
Technical Report
·
Wed Oct 31 23:00:00 EST 1979
·
OSTI ID:5724868
A parallel Lanczos method for symmetric generalized eigenvalue problems
Technical Report
·
Sun Nov 30 23:00:00 EST 1997
·
OSTI ID:10163130
A parallel Lanczos method for symmetric generalized eigenvalue problems
Technical Report
·
Sun Nov 30 23:00:00 EST 1997
·
OSTI ID:6955814