Non-monotonic and self-adaptive strongly convergent iterative methods for efficiently solving variational inequalities with pseudomonotone operators.
Habib Ur RehmanPoom KumamVasile BerindeWiyada KumamPublished in: Comput. Appl. Math. (2024)
Keyphrases
- variational inequalities
- iterative methods
- nonlinear programming
- linearly constrained
- linear complementarity problem
- sensitivity analysis
- complementarity problems
- primal dual
- fixed point
- variational inequality problems
- image reconstruction from projections
- set valued
- convex sets
- hilbert spaces
- nash equilibrium
- computationally expensive
- linear programming
- neural model
- constrained optimization
- linear constraints
- neural network
- iterative algorithms
- boundary conditions
- game theory
- image denoising
- special case
- genetic algorithm