Pages that link to "Item:Q2028038"

The following pages link to Using nonlinear functions to approximate a new quasi-Newton method for unconstrained optimization problems (Q2028038):

Displaying 9 items.

• Using approximate secant equations in limited memory methods for multilevel unconstrained optimization (Q429494) (← links)
• Secant relations versus positive definiteness in quasi-Newton methods (Q790711) (← links)
• A modified quasi-Newton method for structured optimization with partial information on the Hessian (Q853668) (← links)
• A new structured quasi-Newton algorithm using partial information on Hessian (Q966094) (← links)
• On the use of function-values in unconstrained optimisation (Q1262703) (← links)
• A new modified BFGS method for unconstrained optimization problems (Q1993498) (← links)
• Improved Hessian approximation with modified quasi-Cauchy relation for gradient-type method (Q2792970) (← links)
• Approximate invariant subspaces and quasi-newton optimization methods (Q3161128) (← links)
• On the Derivation of Quasi-Newton Formulas for Optimization in Function Spaces (Q5118183) (← links)