Published March 1982 | Version v1
Journal article

Solving symmetric-definite quadratic lambda-matrix problems without factorization

  • 1. Univ. of Texas, Austin

Description

Algorithms are presented for computing some of the eigenvalues and their associated eigenvectors of the quadratic lambda-matrix M lambda2 C lambda + K. M, C, and K are assumed to have special symmetry-type properties which insure that theory analogous to the standard symmetric eigenproblem exists. The algorithms are based on a generalization of the Rayleigh quotient and the Lanczos method for computing eigenpairs of standard symmetric eigenproblems. Monotone quadratic convergence of the basic method is proved. Test examples are presented

Additional details

Publishing Information

Journal Title
SIAM J. Sci. Stat. Comput.
Journal Volume
3
Journal Issue
1
Series
SIAM J. Sci. Stat. Comput.
Journal Page Range
58-67

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
14789021
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ALGORITHMS; CONVERGENCE; EIGENVALUES; EIGENVECTORS; EQUATIONS OF MOTION; GYROSCOPES; HERMITIAN MATRIX; RITZ METHOD
Descriptors DEC
DIFFERENTIAL EQUATIONS; EQUATIONS; MATRICES; PARTIAL DIFFERENTIAL EQUATIONS