Greedy Tikhonov regularization for large linear ill-posed problems
نویسندگان
چکیده
Several numerical methods for the solution of large linear ill-posed problems combine Tikhonov regularization with an iterative method based on partial Lanczos bidiagonalization of the operator. This paper discusses the determination of the regularization parameter and the dimension of the Krylov subspace for this kind of methods. A method that requires a Krylov subspace of minimal dimension is referred to as greedy.
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ورودعنوان ژورنال:
- Int. J. Comput. Math.
دوره 84 شماره
صفحات -
تاریخ انتشار 2007