Neural networks for solving second-order cone constrained variational inequality problem.
Juhe SunJein-Shan ChenChun-Hsu KoPublished in: Comput. Optim. Appl. (2012)
Keyphrases
- variational inequalities
- neural network
- nonlinear programming
- linearly constrained
- convex quadratic programming
- linear complementarity problem
- sensitivity analysis
- variational inequality problems
- complementarity problems
- fixed point
- artificial neural networks
- nash equilibrium
- primal dual
- convex sets
- traffic assignment
- set valued
- boundary conditions
- hilbert spaces
- network equilibrium model
- feasible set
- newton method
- back propagation
- image restoration
- high dimensional
- cooperative
- image processing