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

Knyazev, Andrew V.; Neymeyr, Klaus

ETNA. Electronic Transactions on Numerical Analysis [electronic only] (2003)

- Volume: 15, page 38-55
- ISSN: 1068-9613

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topKnyazev, 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 -

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