On the preconditioned conjugate gradient method for solving (A – λB)X =0

DOI10.1002/nme.1620240711zbMath0617.65028OpenAlexW2066409739MaRDI QIDQ4727281

Michalis Yakoumidakis, Manolis Papadrakakis

Publication date: 1987

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nme.1620240711

zbMATH Keywords

Rayleigh quotientCholesky factorizationsmallest eigenvalueIterative methodsinverse iterationconjugate gradient accelerationgeneralized symmetric eigenvalue problem

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Iterative numerical methods for linear systems (65F10) Numerical computation of matrix norms, conditioning, scaling (65F35) Direct numerical methods for linear systems and matrix inversion (65F05)

Cites Work

• A partial preconditioned conjugate gradient method for large eigenproblems
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