THE REGULARIZED OPERATOR EXTRAPOLATION ALGORITHM

V. Semenov, O. Kharkov
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Abstract

This work is devoted to the study of new algorithm for solving variational inequalities in Hilbert spaces. The proposed algorithm is a variant of the operator extrapolation method regularized using the Halpern scheme. The algorithm has an advantage over the Korpelevich extragradient method and the method of extrapolation from the past in terms of the amount of calculations required for the iterative step. For variational inequalities with monotone, Lipschitz continuous operators acting in Hilbert space, a theorem on strong convergence of the method is proved.
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正则化算子外推算法
本文致力于研究求解希尔伯特空间中变分不等式的新算法。该算法是使用Halpern格式正则化的算子外推方法的一种变体。在迭代步骤所需的计算量方面,该算法比Korpelevich外推法和过去的外推法有优势。对于Hilbert空间中具有单调的Lipschitz连续算子的变分不等式,证明了该方法的强收敛性定理。
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BOUNDARY VALUE PROBLEMS FOR THE LYAPUNOV EQUATION THE REGULARIZED OPERATOR EXTRAPOLATION ALGORITHM ANALYSIS OF THE CONSTRUCTION OF NUMERICAL METHODS FOR SOLVING THE RICHARDS–KLUTE EQUATION NETWORK FLOW ANALYSIS AS A METHOD OF SUPPLY CHAIN MANAGEMENT OPTIMIZATION EXISTENCE IN SCHWARTZ SPACE AND SOLUTIONS PROPERTIES OF THE HOPF–TYPE EQUATION WITH VARIABLE COEFFICIENTS
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