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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2006, Volume 46, Number 11, Pages 2024–2031
(Mi zvmmf383)
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This article is cited in 11 scientific papers (total in 11 papers)
Iterative proximal regularization method for finding a saddle point in the semicoercive Signorini problem
G. S. Wooa, S. Kima, R. V. Nammb, S. A. Sachkovb a Changwon National University, Changwon, 641773, South Korea
b Pacific Ocean State University, Tikhookeanskaya ul. 136, Khabarovsk, 680035, Russia
Abstract:
An algorithm for seeking a saddle point for the semicoercive variational Signorini inequality is studied. The algorithm is based on an iterative proximal regularization of a modified Lagrangian functional.
Key words:
Signorini problem for a variational inequality, modified Lagrangian functional, Uzawa algorithm, proximal regularization.
Received: 02.05.2006
Citation:
G. S. Woo, S. Kim, R. V. Namm, S. A. Sachkov, “Iterative proximal regularization method for finding a saddle point in the semicoercive Signorini problem”, Zh. Vychisl. Mat. Mat. Fiz., 46:11 (2006), 2024–2031; Comput. Math. Math. Phys., 46:11 (2006), 1932–1939
Linking options:
https://www.mathnet.ru/eng/zvmmf383 https://www.mathnet.ru/eng/zvmmf/v46/i11/p2024
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