Two strongly convergent self-adaptive iterative schemes for solving pseudo-monotone equilibrium problems with applications
DOI10.1515/dema-2021-0030zbMath1494.47112OpenAlexW3195985705MaRDI QIDQ2050177
Nuttapol Pakkaranang, Habib ur Rehman, Wiyada Kumam
Publication date: 30 August 2021
Published in: Demonstratio Mathematica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/dema-2021-0030
strong convergenceequilibrium problemfixed point problemvariational inequality problemspseudomonotone bifunctionLipschitz-type conditions
Nonlinear accretive operators, dissipative operators, etc. (47H06) Iterative procedures involving nonlinear operators (47J25) Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09)
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- The subgradient extragradient method for solving variational inequalities in Hilbert space
- Application of the proximal point method to nonmonotone equilibrium problems
- The Tikhonov regularization extended to equilibrium problems involving pseudomonotone bifunctions
- Strong convergence of projected subgradient methods for nonsmooth and nonstrictly convex minimization
- Equilibrium programming using proximal-like algorithms
- New inertial algorithm for a class of equilibrium problems
- A Tikhonov-type regularization for equilibrium problems in Hilbert spaces
- Weak convergence of explicit extragradient algorithms for solving equilibrium problems
- Modified Krasnoselski-Mann iterative method for hierarchical fixed point problem and split mixed equilibrium problem
- The extragradient algorithm with inertial effects extended to equilibrium problems
- Existence and solution methods for equilibria
- Modified hybrid projection methods for finding common solutions to variational inequality problems
- Modified basic projection methods for a class of equilibrium problems
- Explicit iterative algorithms for solving equilibrium problems
- Construction of fixed points of nonlinear mappings in Hilbert space
- Generalized monotone bifunctions and equilibrium problems
- Convergence of an adaptive penalty scheme for finding constrained equilibria
- Another control condition in an iterative method for nonexpansive mappings
- New extragradient methods with non-convex combination for pseudomonotone equilibrium problems with applications in Hilbert spaces
- Extragradient algorithms extended to equilibrium problems¶
- Modified Popov's explicit iterative algorithms for solving pseudomonotone equilibrium problems
- Convex analysis and monotone operator theory in Hilbert spaces
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