Damián R. Fernández

Orcid: 0000-0002-8254-353X

Affiliations:
  • National University of Córdoba, Argentina


According to our database1, Damián R. Fernández authored at least 15 papers between 2008 and 2024.

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

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Bibliography

2024
Evaluation of a finite element formulation for the shallow water equations with numerical smoothing in the Gulf of San Jorge.
Comput. Appl. Math., February, 2024

2023
A trust-region LP-Newton method for constrained nonsmooth equations under Hölder metric subregularity.
Comput. Optim. Appl., November, 2023

Traffic sensor location using Wardrop equilibrium.
Comput. Appl. Math., September, 2023

2020
On the cost of solving augmented Lagrangian subproblems.
Math. Program., 2020

2019
A quasi-Newton modified LP-Newton method.
Optim. Methods Softw., 2019

On the Local and Superlinear Convergence of a Secant Modified Linear-Programming-Newton Method.
J. Optim. Theory Appl., 2019

2015
Adjoint method for a tumor invasion PDE-constrained optimization problem in 2D using adaptive finite element method.
Appl. Math. Comput., 2015

2013
A quasi-Newton strategy for the sSQP method for variational inequality and optimization problems.
Math. Program., 2013

An inexact restoration strategy for the globalization of the sSQP method.
Comput. Optim. Appl., 2013

Adjoint method for a tumor growth PDE-constrained optimization problem.
Comput. Math. Appl., 2013

2012
Local Convergence of Exact and Inexact Augmented Lagrangian Methods under the Second-Order Sufficient Optimality Condition.
SIAM J. Optim., 2012

The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems.
Optim. Methods Softw., 2012

2010
Sharp Primal Superlinear Convergence Results for Some Newtonian Methods for Constrained Optimization.
SIAM J. Optim., 2010

Stabilized sequential quadratic programming for optimization and a stabilized Newton-type method for variational problems.
Math. Program., 2010

2008
On local convergence of sequential quadratically-constrained quadratic-programming type methods, with an extension to variational problems.
Comput. Optim. Appl., 2008


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