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In recent years, several numerical methods including projection and its variant forms, resolvent equations, and auxiliary principle techniques have been developed.
There is a substantial number of numerical methods including projection method and its variant forms, Wiener-Hopf (normal) equations, auxiliary principle, and descent framework for solving variational inequalities and complementarity problems.
There are a substantial number of numerical methods including projection technique and its variant forms, Wiener-Hopf equations, the auxiliary principle technique, and resolvent equations methods for solving variational inequalities.
There is a substantial number of numerical methods including projection method and its variant forms, Wiener-Holf (normal) equations, auxiliary principle, and descent framework for solving variational inequalities and complementarity problems.
In recent years, much attention has been given to develop efficient and implementable numerical methods including projection method and its variant forms, Wiener-Hopf (normal) equations, linear approximation, auxiliary principle, and descent framework for solving variational inequalities and related optimization problems.
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There is a substantial number of numerical methods, including the projection methods and their variant forms.
Hieu [14] proposed an algorithm for solving SEP which combines three methods including the projection method, the proximal method and the diagonal subgradient method.
In this section, we propose two strongly convergent algorithms for solving FPSCSEPs (1) which combines three methods including the projection method, the proximal method and the diagonal subgradient method.
Recently, much attention has been payed to develop efficient and implementable numerical methods including the projection method and its variant forms, auxiliary problem principle, proximal-point algorithm and descent framework for solving variational inequalities and related optimization problems (see [1 32] and the references therein).
In recent years, there have been considerable activities in the development of numerical techniques including projection methods, Wiener-Hopf equations, auxiliary principle and descent framework for solving variational inequalities; see [1 14] and the references therein.
The usual estimation methods include the projection algorithm, gradient algorithm, and least squares algorithm [7, 8].
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