Title
Hybrid preconditioning for iterative diagonalization of ill-conditioned generalized eigenvalue problems in electronic structure calculations
Abstract
The iterative diagonalization of a sequence of large ill-conditioned generalized eigenvalue problems is a computational bottleneck in quantum mechanical methods employing a nonorthogonal basis for ab initio electronic structure calculations. We propose a hybrid preconditioning scheme to effectively combine global and locally accelerated preconditioners for rapid iterative diagonalization of such eigenvalue problems. In partition-of-unity finite-element (PUFE) pseudopotential density-functional calculations, employing a nonorthogonal basis, we show that the hybrid preconditioned block steepest descent method is a cost-effective eigensolver, outperforming current state-of-the-art global preconditioning schemes, and comparably efficient for the ill-conditioned generalized eigenvalue problems produced by PUFE as the locally optimal block preconditioned conjugate-gradient method for the well-conditioned standard eigenvalue problems produced by planewave methods.
Year
DOI
Venue
2013
10.1016/j.jcp.2013.07.020
J. Comput. Physics
Keywords
Field
DocType
electronic structure calculation,hybrid preconditioned block steepest,well-conditioned standard eigenvalue problem,hybrid preconditioning scheme,conjugate-gradient method,large ill-conditioned generalized eigenvalue,descent method,ill-conditioned generalized eigenvalue problem,eigenvalue problem,nonorthogonal basis,iterative diagonalization,steepest descent method
Bottleneck,Quantum,Mathematical optimization,Electronic structure,Plane wave,Method of steepest descent,Ab initio,Eigenvalues and eigenvectors,Mathematics,Pseudopotential
Journal
Volume
Issue
ISSN
255
C
0021-9991
Citations 
PageRank 
References 
1
0.35
11
Authors
4
Name
Order
Citations
PageRank
Yun-Feng Cai1214.06
Zhaojun Bai2661107.69
John E. Pask3223.42
N. Sukumar411.70