TY - JOUR
T1 - Solving Hermitian positive definite systems using indefinite incomplete factorizations
AU - Avron, Haim
AU - Gupta, Anshul
AU - Toledo, Sivan
N1 - Funding Information: This research was supported in part by grant 1045/09 from the Israel Science Foundation (founded by the Israel Academy of Sciences and Humanities) .
PY - 2013
Y1 - 2013
N2 - Incomplete LD* factorizations sometimes produce an indefinite preconditioner even when the input matrix is Hermitian positive definite. The two most popular iterative solvers for symmetric systems, CG and MINRES, cannot use such preconditioners; they require a positive definite preconditioner. One approach, that has been extensively studied to address this problem is to force positive definiteness by modifying the factorization process. We explore a different approach: use the incomplete factorization with a Krylov method that can accept an indefinite preconditioner. The conventional wisdom has been that long recurrence methods (like GMRES), or alternatively non-optimal short recurrence methods (like symmetric QMR and BiCGStab) must be used if the preconditioner is indefinite. We explore the performance of these methods when used with an incomplete factorization, but also explore a less known Krylov method called PCG-ODIR that is both optimal and uses a short recurrence and can use an indefinite preconditioner. Furthermore, we propose another optimal short recurrence method called IP-MINRES that can use an indefinite preconditioner, and a variant of PCG-ODIR, which we call IP-CG, that is more numerically stable and usually requires fewer iterations.
AB - Incomplete LD* factorizations sometimes produce an indefinite preconditioner even when the input matrix is Hermitian positive definite. The two most popular iterative solvers for symmetric systems, CG and MINRES, cannot use such preconditioners; they require a positive definite preconditioner. One approach, that has been extensively studied to address this problem is to force positive definiteness by modifying the factorization process. We explore a different approach: use the incomplete factorization with a Krylov method that can accept an indefinite preconditioner. The conventional wisdom has been that long recurrence methods (like GMRES), or alternatively non-optimal short recurrence methods (like symmetric QMR and BiCGStab) must be used if the preconditioner is indefinite. We explore the performance of these methods when used with an incomplete factorization, but also explore a less known Krylov method called PCG-ODIR that is both optimal and uses a short recurrence and can use an indefinite preconditioner. Furthermore, we propose another optimal short recurrence method called IP-MINRES that can use an indefinite preconditioner, and a variant of PCG-ODIR, which we call IP-CG, that is more numerically stable and usually requires fewer iterations.
KW - Conjugate gradients methods
KW - Incomplete factorizations
KW - Krylov methods
KW - Lanczos method
KW - Preconditioning
UR - http://www.scopus.com/inward/record.url?scp=84871417822&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.cam.2012.11.011
DO - https://doi.org/10.1016/j.cam.2012.11.011
M3 - مقالة
SN - 0377-0427
VL - 243
SP - 126
EP - 138
JO - Journal of Computational and Applied Mathematics
JF - Journal of Computational and Applied Mathematics
IS - 1
ER -