Valentina De Simone

Efficient Preconditioner Updates for Shifted Linear Systems

We present a technique for building effective and low cost preconditioners for sequences of shifted linear systems

A Preconditioning Framework for Sequences of Diagonally Modified Linear Systems Arising in Optimization

(A + \alpha I) x_\alpha = b

On the Application of the Spectral Projected Gradient Method in Image Segmentation

, where

On the Use of Constraint Preconditioners in Potential Reduction Methods

A

On preconditioner updates for sequences of saddle-point linear systems

is symmetric positive definite and

On mutual impact of numerical linear algebra and large-scale optimization with focus on interior point methods

\alpha > 0

On the iterative solution of KKT systems in potential reduction software for large-scale quadratic problems

. This technique updates a preconditioner for

Stopping criteria for inner iterations in inexact potential reduction methods: a computational study

A

Updating Constraint Preconditioners for KKT Systems in Quadratic Programming Via Low-Rank Corrections

, available in the form of an

Starting-point strategies for an infeasible potential reduction method

LDL^T