Weak and strong convergence theorems for solving pseudo-monotone variational inequalities with non-Lipschitz mappings.
Duong Viet ThongYekini ShehuOlaniyi Samuel IyiolaPublished in: Numer. Algorithms (2020)
Keyphrases
- variational inequalities
- linear complementarity problem
- nonlinear programming
- proximal point
- linearly constrained
- globally convergent
- sensitivity analysis
- complementarity problems
- nonlinear complementarity problem
- newton method
- convex sets
- superlinear convergence
- variational inequality problems
- fixed point
- hilbert spaces
- set valued
- primal dual
- boundary conditions
- nash equilibrium
- upper bound
- nonlinear equations
- saddle point
- metric space
- linear programming
- graphical models
- lipschitz continuity
- probability distribution
- dynamic programming
- learning algorithm