Residential College | false |
Status | 已發表Published |
Shift-invert arnoldi approximation to the toeplitz matrix exponential | |
Lee,Spike T.; Pang,Hong Kui; Sun,Hai Wei | |
2010-04-19 | |
Source Publication | SIAM Journal on Scientific Computing |
ISSN | 10648275 |
Volume | 32Issue:2Pages:774-792 |
Abstract | The shift-invert Arnoldi method is employed to generate an orthonormal basis from the Krylov subspace corresponding to a real Toeplitz matrix an d an initial vector. The vectors and recurrence coefficients produced by this method are exploited to approximate the Toeplitz matrix exponential. Toeplitz matrix inversion formula and rapid To eplitz matrix-vector multiplications are utilized to lower the computational costs. For convergence analysis, a sufficient condition is established to guarantee that the error bound is independent of the norm of the matrix. Numerical results are given to demonstrate the efficiency of the method. |
Keyword | Krylov Subspace Matrix Exponential Numerical Range Shift-invert Arnoldi Method Toeplitz Matrix |
DOI | 10.1137/090758064 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Mathematics |
WOS Subject | Mathematics, Applied |
WOS ID | WOS:000277837100014 |
Scopus ID | 2-s2.0-77950848559 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology DEPARTMENT OF MATHEMATICS |
Affiliation | Department of Mathematics University of Macau,China |
First Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Lee,Spike T.,Pang,Hong Kui,Sun,Hai Wei. Shift-invert arnoldi approximation to the toeplitz matrix exponential[J]. SIAM Journal on Scientific Computing, 2010, 32(2), 774-792. |
APA | Lee,Spike T.., Pang,Hong Kui., & Sun,Hai Wei (2010). Shift-invert arnoldi approximation to the toeplitz matrix exponential. SIAM Journal on Scientific Computing, 32(2), 774-792. |
MLA | Lee,Spike T.,et al."Shift-invert arnoldi approximation to the toeplitz matrix exponential".SIAM Journal on Scientific Computing 32.2(2010):774-792. |
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