Matrix forms of iterative algorithms to solve large-scale discrete ill-posed problems with an application to image restoration
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s12190-018-1205-9.pdf
Reference42 articles.
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3. Bauer, F., Lukas, M.A.: Comparing parameter choice methods for regularization of ill-posed problems. Math. Comput. Simul. 81, 1795–1841 (2011). https://doi.org/10.1016/j.matcom.2011.01.016
4. Bhaya, A., Bliman, P.-A., Pazos, F.: Control-theoretic design of iterative methods for symmetric linear systems of equations. In: Proceedings of the 48th IEEE Conference on Decision and Control, Shanghai, China (2009). https://doi.org/10.1109/CDC.2009.5399581
5. Calvetti, D., Reichel, L., Zhang, Q.: Iterative Solution Methods for Large Linear Discrete Ill-Posed Problems, vol. 1, pp. 313–367. Birkhäuser, Boston (1999). https://doi.org/10.1007/978-1-4612-0571-5_7
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