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Lanczos based preconditioner for discrete ill-posed problems
DOI:10.1007/s00607-010-0090-3.png)
摘要
En 中文
In this paper we use the Lanczos process for preconditioning discrete ill-posed problems. We show that by few steps of this process one can obtain a well qualified and efficient preconditioner. This is a general method in the sense that it is not limited only to special structured matrices and the matrix-vector multiplications can be carried out in O(n) operations. Also even in problems with structured matrices this preconditioner performs more efficiently than the circulant and Kronecker product approximate preconditioners.
Keyword:
Preconditioner
Lanczos bidiagonalization
Semiconvergent
Tikhonov regularization
Image deblurring
期刊
C
IF:
2.8
论文数:
2.3K
被引数:
3.5K

