swMATH ID: 29132
Software Authors:
Description: Hybrid Bidiagonalization Regularization (HyBR). Hybrid regularization methods have been proposed as effective approaches for solving large-scale ill-posed inverse problems. These methods restrict the solution to lie in a Krylov subspace, but they are hindered by semi-convergence behavior, in that the quality of the solution first increases and then decreases. Hybrid methods apply a standard regularization technique, such as Tikhonov regularization, to the projected problem at each iteration. Thus, regularization in hybrid methods is achieved both by Krylov filtering and by appropriate choice of a regularization parameter at each iteration.
Homepage: http://www.math.vt.edu/people/jmchung/hybr.html
Source Code:  https://github.com/juliannechung/genHyBR
Dependencies: Matlab
Related Software: Regularization tools; IR Tools; AIR tools; GKB-FP; RestoreTools; CRAIG; LSQR; ForWaRD; LSMR; NETT; UTV; Matlab
Cited in: 8 Documents

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