Efficient solution of symmetric eigenvalue problems using multigrid preconditioners in the locally optimal block conjugate gradient method.

Knyazev, Andrew V., and Neymeyr, Klaus. "Efficient solution of symmetric eigenvalue problems using multigrid preconditioners in the locally optimal block conjugate gradient method.." ETNA. Electronic Transactions on Numerical Analysis [electronic only] 15 (2003): 38-55. <http://eudml.org/doc/123270>.

@article{Knyazev2003,
author = {Knyazev, Andrew V., Neymeyr, Klaus},
journal = {ETNA. Electronic Transactions on Numerical Analysis [electronic only]},
keywords = {symmetric eigenvalue problems; multigrid preconditioning; conjugate gradient method; iterative method; numerical examples; convergence},
language = {eng},
pages = {38-55},
publisher = {Kent State University, Department of Mathematics and Computer Science},
title = {Efficient solution of symmetric eigenvalue problems using multigrid preconditioners in the locally optimal block conjugate gradient method.},
url = {http://eudml.org/doc/123270},
volume = {15},
year = {2003},
}

TY - JOUR
AU - Knyazev, Andrew V.
AU - Neymeyr, Klaus
TI - Efficient solution of symmetric eigenvalue problems using multigrid preconditioners in the locally optimal block conjugate gradient method.
JO - ETNA. Electronic Transactions on Numerical Analysis [electronic only]
PY - 2003
PB - Kent State University, Department of Mathematics and Computer Science
VL - 15
SP - 38
EP - 55
LA - eng
KW - symmetric eigenvalue problems; multigrid preconditioning; conjugate gradient method; iterative method; numerical examples; convergence
UR - http://eudml.org/doc/123270
ER -