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Title: Solving sparse quadratic lambda-matrix problems

Abstract

Methods are examined for computing all the eigenvalues in a user-supplied interval (a,b), and their associated eigenvectors, of the quadratic lambda-matrix problem (Mlambda/sup 2/ + Clambda + K)x = 0, where the matrices are sufficiently sparse that methods based on similarity transformations are inappropriate. 2 tables.

Authors:
Publication Date:
Research Org.:
Union Carbide Corp., Oak Ridge, TN (USA). Computer Sciences Div.
OSTI Identifier:
7092585
Report Number(s):
ORNL/CSD-69
DOE Contract Number:  
W-7405-ENG-26
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; MATRICES; EIGENVALUES; EIGENVECTORS; CALCULATION METHODS; ITERATIVE METHODS; 990200* - Mathematics & Computers

Citation Formats

Scott, D.S. Solving sparse quadratic lambda-matrix problems. United States: N. p., 1980. Web.
Scott, D.S. Solving sparse quadratic lambda-matrix problems. United States.
Scott, D.S. Sat . "Solving sparse quadratic lambda-matrix problems". United States.
@article{osti_7092585,
title = {Solving sparse quadratic lambda-matrix problems},
author = {Scott, D.S.},
abstractNote = {Methods are examined for computing all the eigenvalues in a user-supplied interval (a,b), and their associated eigenvectors, of the quadratic lambda-matrix problem (Mlambda/sup 2/ + Clambda + K)x = 0, where the matrices are sufficiently sparse that methods based on similarity transformations are inappropriate. 2 tables.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1980},
month = {11}
}

Technical Report:
Other availability
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