Pages that link to "Item:Q2397822"
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The following pages link to A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization (Q2397822):
Displaying 12 items.
- Efficient tridiagonal preconditioner for the matrix-free truncated Newton method (Q272460) (← links)
- Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods (Q523183) (← links)
- Exploiting damped techniques for nonlinear conjugate gradient methods (Q684134) (← links)
- On a conjugate directions method for solving strictly convex QP problem (Q684136) (← links)
- A new scheme of computing the approximate inverse preconditioner for the reduced linear systems (Q861899) (← links)
- Incomplete orthogonalization preconditioners for solving large and dense linear systems which arise from semidefinite programming (Q1349146) (← links)
- On partial Cholesky factorization and a variant of quasi-Newton preconditioners for symmetric positive definite matrices (Q2305868) (← links)
- An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization (Q2417038) (← links)
- Preconditioned nonlinear conjugate gradient methods based on a modified secant equation (Q2422866) (← links)
- A Preconditioning Framework for Sequences of Diagonally Modified Linear Systems Arising in Optimization (Q4907160) (← links)
- A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization (Q5116544) (← links)
- A class of approximate inverse preconditioners for solving linear systems (Q5190729) (← links)
