標題: | Structure-preserving Gamma QR and Gamma-Lanczos algorithms for Bethe-Salpeter eigenvalue problems |
作者: | Guo, Zhen-Chen Li, Tiexiang Zhou, Ying-Ying 應用數學系 Department of Applied Mathematics |
關鍵字: | Bethe-Salpeter eigenvalue problem;Gamma-unitarity;Gamma QR algorithm;Gamma-Lanczos algorithm |
公開日期: | 15-Oct-2018 |
摘要: | To solve the Bethe-Salpeter eigenvalue problem with distinct sizes, two efficient methods, called Gamma QR algorithm and Gamma-Lanczos algorithm, are proposed in this paper. Both algorithms preserve the special structure of the initial matrix. H = [(-(B) over bar) (A) (-(A) over bar) (B)], resulting the computed eigenvalues and the associated eigenvectors still hold the properties similar to those of dr. Theorems are given to demonstrate the validity of the proposed two algorithms in theory. Numerical results are presented to illustrate the superiorities of our methods. (C) 2018 Elsevier B.V. All rights reserved. |
URI: | http://dx.doi.org/10.1016/j.cam.2018.03.010 http://hdl.handle.net/11536/145123 |
ISSN: | 0377-0427 |
DOI: | 10.1016/j.cam.2018.03.010 |
期刊: | JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS |
Volume: | 341 |
起始頁: | 12 |
結束頁: | 30 |
Appears in Collections: | Articles |