Published March 1982
| Version v1
Journal article
Solving symmetric-definite quadratic lambda-matrix problems without factorization
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