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., 2006, Volume 46, Number 11,Pages <nobr>2024

This article is cited in 11 papers

Iterative proximal regularization method for finding a saddle point in the semicoercive Signorini problem

G. S. Woo^a, S. Kim^a, R. V. Namm^b, S. A. Sachkov^b

^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.

UDC: 519.626.2

Received: 02.05.2006