Pages that link to "Item:Q1363061"
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The following pages link to Numerical experiences with new truncated Newton methods in large scale unconstrained optimization (Q1363061):
Displaying 15 items.
- 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)
- Numerical experience with the truncated Newton method for unconstrained optimization (Q1090623) (← links)
- Truncated Newton methods for optimization with inaccurate functions and gradients (Q1411387) (← links)
- Global convergence of nonmonotone strategies in parallel methods for block-bordered nonlinear systems (Q1569131) (← links)
- A survey of truncated-Newton methods (Q1593812) (← links)
- Issues on the use of a modified bunch and Kaufman decomposition for large scale Newton's equation (Q2023682) (← links)
- Truncated partitioning group correction algorithms for large-scale sparse unconstrained optimi\-zation (Q2383749) (← links)
- Iterative computation of negative curvature directions in large scale optimization (Q2457949) (← links)
- Planar conjugate gradient algorithm for large-scale unconstrained optimization. I: Theory (Q2569193) (← links)
- Planar conjugate gradient algorithm for large-scale unconstrained optimization. II: Application (Q2569194) (← links)
- Theoretical and Numerical Study of Iteratively Truncated Newton’s Algorithm (Q2863528) (← links)
- Dynamic scaling based preconditioning for truncated Newton methods in large scale unconstrained optimization (Q3369520) (← links)
- A motivation for using the truncated Newton approach in a very large scale nonlinear network problem (Q3713879) (← links)
- Curvilinear Stabilization Techniques for Truncated Newton Methods in Large Scale Unconstrained Optimization (Q4229454) (← links)
