Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Chen Greif"'
The text presents and discusses some of the most influential papers in Matrix Computation authored by Gene H. Golub, one of the founding fathers of the field. The collection of 21 papers is divided into five main areas: iterative methods for linear s
Autor:
CHEN GREIF1 greif@cs.ubc.ca, YUNHUI HE1,2 yhe43@central.uh.edu
Publikováno v:
SIAM Journal on Matrix Analysis & Applications. 2023, Vol. 44 Issue 4, p1540-1565. 26p.
Autor:
Chen Greif, Yunhui He
Publikováno v:
Numerical Linear Algebra with Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7d892d4bbb6fec5cb32b34ad5855d5e
https://doi.org/10.1002/nla.2500
https://doi.org/10.1002/nla.2500
Autor:
Chen Greif
Publikováno v:
ETNA - Electronic Transactions on Numerical Analysis. 55:455-468
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5d68aaae3ee2baa0fdf9affbc2a39b4
https://doi.org/10.1553/etna_vol55s455
https://doi.org/10.1553/etna_vol55s455
Autor:
Chen Greif, L. Robert Hocking
Publikováno v:
SIAM Journal on Matrix Analysis and Applications. 42:475-502
We derive optimal complex relaxation parameters minimizing smoothing factors associated with multigrid using red-black successive overrelaxation or damped Jacobi smoothing applied to a class of lin...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d2d488c92c07f7a0c6272d78f067a07
https://doi.org/10.1137/20m1342161
https://doi.org/10.1137/20m1342161
Autor:
Michael Wathen, Chen Greif
Publikováno v:
SIAM Journal on Scientific Computing. 42:B57-B79
We introduce a new approximate inverse preconditioner for a mixed finite element discretization of an incompressible magnetohydrodynamics model problem. The derivation exploits the nullity of the d...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cd3b9ad786857a4297c6dfcce5112cf
https://doi.org/10.1137/19m1255409
https://doi.org/10.1137/19m1255409
Autor:
Michael Wathen, Chen Greif
Publikováno v:
Journal of Computational and Applied Mathematics. 358:1-11
We consider iterative solvers for large, sparse, symmetric linear systems with a saddle-point structure. Since such systems are indefinite, the conjugate gradient (CG) method is not naturally designed for solving them. However, in the case of a maxim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::456c2dc5d3c85f46592dce6cb031d720
https://doi.org/10.1016/j.cam.2019.02.016
https://doi.org/10.1016/j.cam.2019.02.016
Autor:
Ron Estrin, Chen Greif
Publikováno v:
SIAM Journal on Scientific Computing. 40:A1884-A1914
We introduce a new family of saddle-point minimum residual methods for iteratively solving saddle-point systems using a minimum or quasi-minimum residual approach. No symmetry assumptions are made. The basic mechanism underlying the method is a novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4bcaefe0098176d6ada42204b3b524d
https://doi.org/10.1137/16m1102410
https://doi.org/10.1137/16m1102410
Autor:
Chen Greif, Martin P. Neuenhofen
Publikováno v:
SIAM Journal on Scientific Computing. 40:B554-B571
We introduce $\mathcal{M}$stab, a Krylov subspace recycling method for the iterative solution of sequences of linear systems, where the system matrix is fixed and is large, sparse, and nonsymmetric, and the right-hand-side vectors are available in se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd00c8b12a81a5f24d59238bdac1ecc0
https://doi.org/10.1137/16m1092465
https://doi.org/10.1137/16m1092465
Autor:
Qiang Zhou, Luo Zegang, Daniel Cohen-Or, Andrei Sharf, Oren Katzir, Baoquan Chen, Chen Greif, Kfir Aberman
Publikováno v:
ACM Transactions on Graphics. 36:1-11
The paper presents a novel three-dimensional shape acquisition and reconstruction method based on the well-known Archimedes equality between fluid displacement and the submerged volume. By repeatedly dipping a shape in liquid in different orientation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70dcb13e7bbd726eba49b19ed32241fd
https://doi.org/10.1145/3072959.3073693
https://doi.org/10.1145/3072959.3073693