Naive vs. regularized. Numerical study. (English)
Int. J. Pure Appl. Math. 58, No. 4, 473-492 (2010).
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A family of preconditioned iteratively regularized methods for nonlinear minimization. (English)
J. Inverse Ill-Posed Probl. 17, No. 4, 405-418 (2009).
2
Relative computational efficiency of iteratively regularized methods. (English)
J. Inverse Ill-Posed Probl. 16, No. 7, 681-694 (2008).
3
Inverse problem in optical tomography and its numerical investigation by iteratively regularized methods. (English)
J. Inverse Ill-Posed Probl. 13, No. 3-6, 57-551 (2005).
4
On application of generalized discrepancy principle to iterative methods for nonlinear ill-posed problems. (English)
Numer. Funct. Anal. Optimization 26, No. 1, 35-48 (2005).
5
1D inverse problem in diffusion based optical tomography using iteratively regularized Gauss‒Newton algorithm. (English)
Appl. Math. Comput. 161, No. 1, 149-170 (2005).
6
1D inverse problem in diffusion based optical tomography using iteratively regularized Gauss-Newton algorithm (English)
Applied Mathematics and Computation 161, No. 1, 149-170 (2005).
7
On stable numerical differentiation (English)
Math. Comput. 70, No. 235, 1131-1153 (2001).
8
Information retrieval language for data retrieval system on ore deposits. (Russian)
Nauchn.-Tekh. Inform., Ser. 2 1970, No.12, 16-20 (1971).
9
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