A New Inertial Subgradient Projection Algorithm for Solving Pseudomonotone Equilibrium Problems

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In this paper, we introduce a new inertial subgradient projection algorithm for finding a solution of an equilibrium problem in a real Hilbert space. The proposed algorithm combines subgradient projection methods with the self-adaptive and inertial techniques to generate iteration sequences. The convergent theorem are established under mild assumptions. Several fundamental experiments are shown to illustrate our algorithm.

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