Solution of Ill-Posed Nonconvex Optimization Problems with Accuracy Proportional to the Error in Input Data-Reference-Cited by-同舟云学术

Solution of Ill-Posed Nonconvex Optimization Problems with Accuracy Proportional to the Error in Input Data

Published:2018-11 Issue:11 Volume:58 Page:1748-1760
ISSN:0965-5425
Container-title:Computational Mathematics and Mathematical Physics
language:en
Short-container-title:Comput. Math. and Math. Phys.

Author:

Kokurin M. Yu.

Publisher

Pleiades Publishing Ltd

Subject

Computational Mathematics

Link

http://link.springer.com/content/pdf/10.1134/S0965542518110064.pdf

Reference15 articles.

1. F. P. Vasil’ev, Methods for Solving Extremal Problems (Nauka, Moscow, 1981) [in Russian].

2. A. N. Tikhonov, A. S. Leonov, and A. G. Yagola, Nonlinear Ill-Posed Problems (Fizmatlit, Moscow, 1995; CRC, London, 1997).

3. A. B. Bakushinskii and M. Yu. Kokurin, Iterative Methods for Solving Ill-Posed Operator Equations with Smooth Operators (Editorial URSS, Moscow, 2002) [in Russian].

4. A. B. Bakushinskii and M. Yu. Kokurin, Algorithmic Analysis of Irregular Operator Equations (URSS, Moscow, 2012) [in Russian].

5. B. Kaltenbacher, A. Neubauer, and O. Scherzer, Iterative Regularization Methods for Nonlinear Ill-Posed Problems (Walter de Gruyter, Berlin, 2008).

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