Pages that link to "Item:Q2457949"
From MaRDI portal
The following pages link to Iterative computation of negative curvature directions in large scale optimization (Q2457949):
Displaying 16 items.
- Preconditioning Newton-Krylov methods in nonconvex large scale optimization (Q377728) (← links)
- Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods (Q523183) (← links)
- Combining and scaling descent and negative curvature directions (Q543412) (← links)
- A curvilinear method based on minimal-memory BFGS updates (Q711340) (← links)
- A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization (Q732778) (← links)
- Improving directions of negative curvature in an efficient manner (Q1026565) (← links)
- Conjugate direction methods and polarity for quadratic hypersurfaces (Q1695819) (← links)
- Issues on the use of a modified bunch and Kaufman decomposition for large scale Newton's equation (Q2023682) (← links)
- Iterative grossone-based computation of negative curvature directions in large-scale optimization (Q2194128) (← links)
- Polarity and conjugacy for quadratic hypersurfaces: a unified framework with recent advances (Q2226298) (← links)
- A framework of conjugate direction methods for symmetric linear systems in optimization (Q2342136) (← links)
- A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization (Q2397822) (← links)
- An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization (Q2417038) (← links)
- Iterative computation of negative curvature directions in large scale optimization (Q2457949) (← links)
- Exploiting negative curvature directions in linesearch methods for unconstrained optimization (Q4521380) (← links)
- A dwindling filter line search method for unconstrained optimization (Q5497020) (← links)
