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Title: 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 Science (SC)
DOE Contract Number:
W-7405-ENG-26
OSTI ID:
5171549
Report Number(s):
CONF-800733-1
Resource Relation:
Conference: Conference on sparse matrices and their uses, Reading, UK, 9 Jul 1980
Country of Publication:
United States
Language:
English