Annick Sartenaer

Orcid: 0000-0003-4844-5239

According to our database1, Annick Sartenaer authored at least 16 papers between 1993 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Using partial spectral information for block diagonal preconditioning of saddle-point systems.
Comput. Optim. Appl., 2021

2018
Refining the Lower Bound on the Positive Eigenvalues of Saddle Point Matrices with Insights on the Interactions between the Blocks.
SIAM J. Matrix Anal. Appl., 2018

2012
Preface.
Math. Program., 2012

2011
On A Class of Limited Memory Preconditioners For Large Scale Linear Systems With Multiple Right-Hand Sides.
SIAM J. Optim., 2011

2010
Numerical experience with a recursive trust-region method for multilevel nonlinear bound-constrained optimization.
Optim. Methods Softw., 2010

2008
Recursive Trust-Region Methods for Multiscale Nonlinear Optimization.
SIAM J. Optim., 2008

2005
Sensitivity of trust-region algorithms to their parameters.
4OR, 2005

2004
A starting point strategy for nonlinear interior methods.
Appl. Math. Lett., 2004

2002
Componentwise fast convergence in the solution of full-rank systems of nonlinear equations.
Math. Program., 2002

On the Behavior of the Gradient Norm in the Steepest Descent Method.
Comput. Optim. Appl., 2002

2001
Superlinear Convergence of Primal-Dual Interior Point Algorithms for Nonlinear Programming.
SIAM J. Optim., 2001

1997
Automatic Determination of an Initial Trust Region in Nonlinear Programming.
SIAM J. Sci. Comput., 1997

1996
Convergence Properties of Minimization Algorithms for Convex Constraints Using a Structured Trust Region.
SIAM J. Optim., 1996

Convergence Properties of an Augmented Lagrangian Algorithm for Optimization with a Combination of General Equality and Linear Constraints.
SIAM J. Optim., 1996

1995
A Class of Trust Region Methods for Nonlinear Network Optimization Problems.
SIAM J. Optim., 1995

1993
Global Convergence of a Class of Trust Region Algorithms for Optimization Using Inexact Projections on Convex Constraints.
SIAM J. Optim., 1993


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