The following pages link to (Q4897130):
Displaying 9 items.
- Nonmonotone BFGS-trained recurrent neural networks for temporal sequence processing (Q628894) (← links)
- Global convergence of nonmonotone descent methods for unconstrained optimization problems (Q697549) (← links)
- A type of modified BFGS algorithm with any rank defects and the local \(Q\)-superlinear convergence properties (Q854430) (← links)
- Global convergence properties of two modified BFGS-type methods (Q874351) (← links)
- The global and superlinear convergence of a new nonmonotone MBFGS algorithm on convex objective functions (Q939545) (← links)
- A modified BFGS method and its superlinear convergence in nonconvex minimization with general line search rule (Q949372) (← links)
- Global convergence properties of the modified BFGS method associating with general line search model (Q1885078) (← links)
- Global convergence of a modified BFGS-type method for unconstrained non-convex minimization (Q2454986) (← links)
- The global convergence of self-scaling BFGS algorithm with non-monotone line search for unconstrained nonconvex optimization problems (Q2644350) (← links)
