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On the local and superlinear convergence of a Secant Modified Linear-Programming-Newton Method
(Springer/Plenum Publishers, 2019-03-15)
We present a superlinearly convergent method to solve a constrained system of nonlinear equations. The proposed procedure is an adaptation of the linear-programming-Newton method replacing the first-order information with ...
Globally convergent inexact quasi-Newton methods for solving nonlinear systems
(Kluwer Academic PublDordrechtHolanda, 2003)
Linear and superlinear convergence of an inexact algorithm with proximal distances for variational inequality problems
(Department of Mathematics Babeş-Bolyai University Cluj-NapocaRO, 2022-02-01)
This paper introduces an inexact proximal point algorithm using proximal distances with linear and superlinear rate of convergence for solving variational inequality problems when the mapping is pseudomonotone or quasimonotone. ...
On the cost of solving augmented Lagrangian subproblems
(Springer, 2020-07)
At each iteration of the augmented Lagrangian algorithm, a nonlinear subproblem is being solved. The number of inner iterations (of some/any method) needed to obtain a solution of the subproblem, or even a suitable approximate ...
Spectral projected gradient and variable metric methods for optimization with linear inequalities
(Oxford Univ PressOxfordInglaterra, 2005)
Convergence properties of the inverse column-updating method
(Gordon Breach Sci Publ LtdReadingInglaterra, 1995)
New convergence results on an algorithm for norm constrained regularization and related problems
(Gauthier-villarsParisFrança, 1997)
Local "superlinearity" and "sublinearity" for the p-Laplacian
(Academic Press Inc Elsevier ScienceSan DiegoEUA, 2009)