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Yekini Shehu
Researcher at Zhejiang Normal University
Publications - 200
Citations - 2472
Yekini Shehu is an academic researcher from Zhejiang Normal University. The author has contributed to research in topics: Variational inequality & Hilbert space. The author has an hindex of 21, co-authored 173 publications receiving 1501 citations. Previous affiliations of Yekini Shehu include University of Würzburg & African Institute of Science and Technology.
Papers
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Single projection method for pseudo-monotone variational inequality in Hilbert spaces
TL;DR: In this paper, a projection-type approximation method is introduced for solving a variational inequality problem, which involves only one projection per iteration and the underline projection is used for each iteration.
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Convergence of an extragradient-type method for variational inequality with applications to optimal control problems
TL;DR: The strong convergence of the iterative sequence generated by the method is established in real Hilbert spaces and the method uses computationally inexpensive Armijo-type linesearch procedure to compute the stepsize under reasonable assumptions.
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Strong convergence result for monotone variational inequalities
Yekini Shehu,Olaniyi S. Iyiola +1 more
TL;DR: The aim in this paper is to study strong convergence results for L-Lipschitz continuous monotone variational inequality but L is unknown using a combination of subgradient extra-gradient method and viscosity approximation method with adoption of Armijo-like step size rule in infinite dimensional real Hilbert spaces.
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A strong convergence result involving an inertial forward–backward algorithm for monotone inclusions
TL;DR: In this paper, the authors prove a strong convergence result for finding a zero of the sum of two monotone operators, with one of the two operators being co-coercive using an iterative method which is a combination of Nesterov's acceleration scheme and Haugazeau's algorithm in real Hilbert spaces.
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Iterative method with inertial for variational inequalities in Hilbert spaces
TL;DR: In this article, a Halpern-type iterative iterative method with inertial terms for solving variational inequalities in real Hilbert spaces is investigated under mild assumptions, which includes the inertial extrapolation step which is believed to increase the rate of convergence.