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Numerous problems in physics, optimization and economics reduce to finding a solution of the problem (1.2).
In this section, we provide a regularization inertial proximal point algorithm for finding a solution of the problem (1.2).
In [15], Dinh, Son, and Anh proposed the extragradient algorithms for finding a solution of the problem (FPSCSEP).
In this paper, we propose two strongly convergent algorithms for finding a solution of the problem (FPSCSEP).
Also, many problems in physics, optimization, and economics can be reduced to finding a solution of the problem (1.1) (see [1 4]).
In 1997, Combettes and Hirstoaga [5] introduced an iterative scheme of finding a solution of the problem (1.1) under the assumption that (operatorname {EP}(F)) is nonempty.
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So the problem of finding a solution of the considered problem is replaced by that of finding two well-ordered functions that satisfy some suitable inequalities.
Numerous problems in physics, optimization and economics reduce to finding a solution of the equilibrium problem.
Finally, we consider finding a solution of the equilibrium problem.
Next, we introduce an explicit algorithm for finding a solution of the minimization problem (1.1).
Focus on finding a solution to the problem and looking for the bright side, instead of getting sucked in.
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