Duality-based regularization in a linear convex mathematical programming problem-Reference-Cited by-同舟云学术

Duality-based regularization in a linear convex mathematical programming problem

Published:2007-04 Issue:4 Volume:47 Page:579-600
ISSN:0965-5425
Container-title:Computational Mathematics and Mathematical Physics
language:en
Short-container-title:Comput. Math. and Math. Phys.

Author:

Sumin M. I.

Publisher

Pleiades Publishing Ltd

Subject

Computational Mathematics

Link

http://link.springer.com/content/pdf/10.1134/S0965542507040045.pdf

Reference27 articles.

1. F. P. Vasil’ev, Optimization Methods (Faktorial, Moscow, 2002) [in Russian].

2. A. Z. Ishmukhametov, “A Dual Regularized Method for Solving a Class of Convex Minimization Problems,” Zh. Vychisl. Mat. Mat. Fiz. 40, 1045–1060 (2000) [Comput. Math. Math. Phys. 40, 1001–1016 (2000)].

3. M. I. Sumin, “Optimal Control of Parabolic Equations: Dual Numerical Methods, Regularization,” International Conference on Distributed-Parameter Systems: Optimization and Applications to Economics and Environmental Sciences, Yekaterinburg, May 30–June 2, 2000 (Inst. Mat. Mekh. Ural. Otd. Ross. Akad. Nauk, Yekaterinburg, 2000), pp. 66–69.

4. M. I. Sumin, “A Regularized Gradient Dual Method for Solving Inverse Problem of Final Observation for a Parabolic Equation,” Zh. Vychisl. Mat. Mat. Fiz. 44, 2001–2019 (2004) [Comput. Math. Math. Phys. 44, 1903–1921 (2004)].

5. M. I. Sumin, “Iterative Regularization of the Gradient Dual Method for Solving Fredholm Integral Equations of the First Kind,” Vestn. Nizhegorod. Univ., Ser. Mat., No. 1 (2), 192–208 (2004).

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