Title :
QMRCGstab Algorithm for Families of Shifted Linear Systems
Author :
Jing Meng ; Pei-Yong Zhu ; Hou-Biao Li
Author_Institution :
Sch. of Math. Sci., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This study is mainly focused on iterative solutions to shifted linear systems arising from a Quantum Chromo dynamics (QCD) problem. For solving such systems efficiently, we explore a new shifted QMRCGstab (SQMRCGstab) method, which is derived by extending the quasi-minimum residual to the shifted BiCGstab. The shifted QMRCGstab method takes advantage of the shifted invariant property, so that it could handle multiple shifts simultaneously using only as many matrix-vector multiplications as the solution of a single system required. Moreover, the SQMRCGstab achieves a smoothing of the residual compared to the shifted BiCGstab, and the SQMRCGstab is more competitive than the MS-QMRIDR(s) and the shifted BiCGstab on the QCD problem. Numerical examples show the efficiency of the method when one applies it to the real problems.
Keywords :
iterative methods; linear systems; matrix multiplication; minimisation; vectors; QMRCGstab algorithm; SQMRCGstab method; iterative solutions; matrix-vector multiplications; quantum chromodynamics problem; quasiminimum residual; residual smoothing; shifted BiCGstab; shifted QMRCGstab method; shifted invariant property; shifted linear systems; Convergence; Educational institutions; Linear systems; Polynomials; Sparse matrices; Vectors; Complex non-Hermitian matrix; Krylov subspace methods; QCD; SQMRCGstab; Shifted BiCGstab; Shifted linear systems;
Conference_Titel :
Computational Intelligence and Security (CIS), 2013 9th International Conference on
Conference_Location :
Leshan
Print_ISBN :
978-1-4799-2548-3
DOI :
10.1109/CIS.2013.64