The main purpose of this paper is to advocate the use of this graph in the numerical treatment of discrete ill-posed problems. The graph is characterized ...
In this paper, two separate approaches--one based on subspace iteration and the other based on the Lanczos method--are considered for the efficient iterative ...
In this paper, two separate approaches--one based on subspace iteration and the other based on the Lanczos method--are considered for the efficient iterative ...
In this paper, two separate approaches--one based on subspace iteration and the other based on the Lanczos method--are considered for the efficient iterative ...
Truncated singular value decomposition (TSVD) techniques have been widely used in inversion. The method of truncation determines the quality of a truncated SVD ...
We propose a refinement algorithm for singular value decomposition (SVD) of a real matrix. In the same manner as Newton's method, the proposed algorithm ...
In this work we present a common framework for efficient algorithms that regularize after this second projection rather than before it. We show that determining ...
This chapter discusses iterative methods for the solution of very large severely ill-conditioned linear systems of equations that arise from the ...
Apr 4, 2023 · An alternative approach for solving the block linear system (3.1) is based on the global Arnoldi process. This process requires less storage.
Nov 23, 2018 · A modified truncated singular value decomposition method for solving ill-posed problems is presented in this paper, in which the solution ...