Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems

Regularization is possibly the most popular method for solving discrete ill-posed problems, whose solution is less sensitive to the error in the observed vector in the right hand than the original solution. This paper presents a new modified truncated randomized singular value decomposition (TR-MTRS...

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Veröffentlicht in:	Journal of computational and applied mathematics Jg. 405; S. 113969
Hauptverfasser:	Huang, Guangxin, Liu, Yuanyuan, Yin, Feng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.05.2022
Schlagworte:	Linear discrete ill-posed problem MTSVD Randomized algorithm Tikhonov regularization Linear discrete ill-posed problem Randomized algorithm Tikhonov regularization MTSVD
ISSN:	0377-0427, 1879-1778
Online-Zugang:	Volltext
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