BTTB preconditioners for BTTB least squares problems

Autor: De-Cai Zhang, Fu-Rong Lin
Rok vydání: 2011
Předmět:
Zdroj: Linear Algebra and its Applications. 434(11):2285-2295
ISSN: 0024-3795
DOI: 10.1016/j.laa.2009.10.035
Popis: In this paper, we consider solving the least squares problem min x ‖ b - T x ‖ 2 by using preconditioned conjugate gradient (PCG) methods, where T is a large rectangular matrix which consists of several square block-Toeplitz–Toeplitz-block (BTTB) matrices and b is a column vector. We propose a BTTB preconditioner to speed up the PCG method and prove that the BTTB preconditioner is a good preconditioner. We then discuss the construction of the BTTB preconditioner. Numerical examples, including image restoration problems, are given to illustrate the efficiency of our BTTB preconditioner. Numerical results show that our BTTB preconditioner is more efficient than the well-known Level-1 and Level-2 circulant preconditioners.
Databáze: OpenAIRE