Title
QMRCGstab Algorithm for Families of Shifted Linear Systems
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.
Year
DOI
Venue
2013
10.1109/CIS.2013.64
CIS
Keywords
Field
DocType
iterative solutions,qcd problem,matrix multiplication,shifted bicgstab,qcd,iterative solution,sqmrcgstab method,shifted linear systems,qmrcgstab algorithm,quasiminimum residual,invariant property,shifted invariant property,quantum chromodynamics problem,real problem,complex non-hermitian matrix,linear system,matrix-vector multiplication,residual smoothing,multiple shift,linear systems,qmrcgstab method,sqmrcgstab,minimisation,krylov subspace methods,shifted qmrcgstab method,numerical example,matrix-vector multiplications,quantum chromo dynamic,iterative methods,vectors
Residual,Mathematical optimization,Linear system,Biconjugate gradient stabilized method,Iterative method,Algorithm,Smoothing,Minimisation (psychology),Invariant (mathematics),Matrix multiplication,Mathematics
Conference
ISBN
Citations 
PageRank 
978-1-4799-2548-3
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Jing Meng191.61
Peiyong Zhu2598.68
Hou-Biao Li37410.78