Thesis (Selection of subject)Thesis (Selection of subject)(version: 368)
Thesis details
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Regularization based on Krylov subspace iterations
Thesis title in Czech: Regularizace založená na metodách Krylovových podprostorů
Thesis title in English: Regularization based on Krylov subspace iterations
Key words: ill-posed problémy, regularizace, iterační metody, šum v datech, vyjevování šumu
English key words: ill-posed problems, regularization, iterative methods, noise in the data, noise revealing
Academic year of topic announcement: 2010/2011
Thesis type: diploma thesis
Thesis language: angličtina
Department: Department of Numerical Mathematics (32-KNM)
Supervisor: doc. RNDr. Iveta Hnětynková, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 11.05.2011
Date of assignment: 11.05.2011
Confirmed by Study dept. on: 02.08.2013
Date and time of defence: 19.09.2013 00:00
Date of electronic submission:30.07.2013
Date of submission of printed version:02.08.2013
Date of proceeded defence: 19.09.2013
Opponents: RNDr. Miloslav Vlasák, Ph.D.
 
 
 
Advisors: prof. Ing. Zdeněk Strakoš, DrSc.
Guidelines
Krylovovské metody patří mezi populární techniky pro řešení diskrétních ill-posed úloh, s nimiž se můžeme setkat v aplikacích jako je počítačová tomografie, seismologie, astronomie atd. Cílem práce je studium, testování a návrh možných vylepšení metod založených na Krylovovských regularizačních metodách.
References
P. C. Hansen: Discrete Inverse Problems: Insight and Algorithms, SIAM, 2010.

I. Hnětynková, M. Plešinger, Z. Strakoš: The regularizing effect of the Golub-Kahan iterative bidiagonalization and revealing the noise level in the data, BIT Numerical Mathematics 49, pp. 669-696, 2009.

P. C. Hansen, J. G. Nagy, D. P. O´Leary: Deblurring Images: Matrices, Spectra and Filtering, SIAM, 2007.

P. C. Hansen: Rank-Deficient and Discrete Ill-Posed Problems - Numerical Aspects of Linear Inversion, SIAM, 1997.

 
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