SIAM Journal on Control and Optimization
Strong Convergence of Block-Iterative Outer Approximation Methods for Convex Optimization
SIAM Journal on Control and Optimization
Finding best approximation pairs relative to two closed convex sets in Hilbert spaces
Journal of Approximation Theory
A hybrid iterative scheme for mixed equilibrium problems and fixed point problems
Journal of Computational and Applied Mathematics
Proximal Thresholding Algorithm for Minimization over Orthonormal Bases
SIAM Journal on Optimization
On generalized implicit vector equilibrium problems in Banach spaces
Computers & Mathematics with Applications
Mathematical and Computer Modelling: An International Journal
Hi-index | 0.00 |
In this paper, we devote to find the solution of the following quadratic minimization problem $$\min_{x\in \Omega}\|x\|^2,$$ where 驴 is the intersection set of the solution set of some equilibrium problem, the fixed points set of a nonexpansive mapping and the solution set of some variational inequality. In order to solve the above minimization problem, we first construct an implicit algorithm by using the projection method. Further, we suggest an explicit algorithm by discretizing this implicit algorithm. Finally, we prove that the proposed implicit and explicit algorithms converge strongly to a solution of the above minimization problem.