Nélida E. Echebest

According to our database, Nélida E. Echebest authored at least 12 papers between 1991 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Convergence Results of an Augmented Lagrangian Method Using the Exponential Penalty Function.

Nélida E. Echebest, María Daniela Sánchez, María Laura Schuverdt

J. Optim. Theory Appl., 2016

2015

Inexact Restoration method for nonlinear optimization without derivatives.

Ma. Belén Arouxét, Nélida E. Echebest, Elvio A. Pilotta

J. Comput. Appl. Math., 2015

2014

On the incomplete oblique projections method for solving box constrained least squares problems.

Hugo D. Scolnik, Nélida E. Echebest, M. T. Guardarucci

Numer. Algorithms, 2014

2012

A derivative-free method for solving box-constrained underdetermined nonlinear systems of equations.

Nélida E. Echebest, María Laura Schuverdt, R. P. Vignau

Appl. Math. Comput., 2012

2009

Preface.

Hugo D. Scolnik, Alvaro R. De Pierro, Nélida E. Echebest, Maria T. Guardarucci

Int. Trans. Oper. Res., 2009

Implicit regularization of the incomplete oblique projections method.

Hugo D. Scolnik, Nélida E. Echebest, Maria T. Guardarucci

Int. Trans. Oper. Res., 2009

2008

Incomplete oblique projections for solving large inconsistent linear systems.

Hugo D. Scolnik, Nélida E. Echebest, M. T. Guardarucci, M. C. Vacchino

Math. Program., 2008

Incomplete oblique projections method for solving regularized least-squares problems in image reconstruction.

Hugo D. Scolnik, Nélida E. Echebest, M. T. Guardarucci

Int. Trans. Oper. Res., 2008

2005

An Accelerated Iterative Method with Diagonally Scaled Oblique Projections for Solving Linear Feasibility Problems.

Nélida E. Echebest, M. T. Guardarucci, Hugo D. Scolnik, M. C. Vacchino

Ann. Oper. Res., 2005

2004

An Acceleration Scheme for Solving Convex Feasibility Problems Using Incomplete Projection Algorithms.

Nélida E. Echebest, M. T. Guardarucci, Hugo D. Scolnik, M. C. Vacchino

Numer. Algorithms, 2004

2002

Acceleration Scheme for Parallel Projected Aggregation Methods for Solving Large Linear Systems.

Hugo D. Scolnik, Nélida E. Echebest, M. T. Guardarucci, M. C. Vacchino

Ann. Oper. Res., 2002

1991

A Curvilinear Search Using Tridiagonal Secant Updates for Unconstrained Optimization.

John E. Dennis Jr., Nélida E. Echebest, M. T. Guardarucci, José Mario Martínez, Hugo D. Scolnik, M. C. Vacchino

SIAM J. Optim., 1991