Fernando Agustin Pazos

15 papers B 2Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2020 J jnl
Performance Improvement of Discrete-time Linear Control Systems Subject to Varying Sampling Rates Using the Tikhonov Regularization Method.
Int. J. Autom. Comput.
Fernando Agustin Pazos, Anibal Zanini, Amit Bhaya
2019 J jnl
Matrix forms of iterative algorithms to solve large-scale discrete ill-posed problems with an application to image restoration.
J. Appl. Math. Comput.
Fernando Agustin Pazos, Amit Bhaya
2017 J jnl
Cooperative concurrent asynchronous computation of the solution of symmetric linear systems.
Numer. Algorithms
Amit Bhaya, Pierre-Alexandre Bliman, Fernando Agustin Pazos
2015 J jnl
Adaptive choice of the Tikhonov regularization parameter to solve ill-posed linear algebraic equations via Liapunov Optimizing Control.
J. Comput. Appl. Math.
Fernando Agustin Pazos, Amit Bhaya
2014 J jnl
A control Liapunov function approach to generalized and regularized descent methods for zero finding.
Int. J. Hybrid Intell. Syst.
Fernando Agustin Pazos, Amit Bhaya
2012 — conf
A cooperative conjugate gradient method for linear systems permitting multithread implementation of low complexity.
CDC
Amit Bhaya, Pierre-Alexandre Bliman, Guilherme Niedu, Fernando Agustin Pazos
2012 J jnl
Design of second order neural networks as dynamical control systems that aim to minimize nonconvex scalar functions.
Neurocomputing
Fernando Agustin Pazos, Amit Bhaya, Eugenius Kaszkurewicz
2011 — conf
Generalized Levenberg-Marquardt neural nets for minimization of quasiconvex scalar functions.
NaBIC
Fernando Agustin Pazos, Amit Bhaya, Eugenius Kaszkurewicz
2010 — conf
Cooperative parallel asynchronous computation of the solution of symmetric linear systems.
CDC
Amit Bhaya, Pierre-Alexandre Bliman, Fernando Agustin Pazos
2010 B conf
The controlled conjugate gradient type trajectory-following neural net for minimization of nonconvex functions.
IJCNN
Amit Bhaya, Fernando Agustin Pazos, Eugenius Kaszkurewicz
2009 — conf
Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions.
ICANN (1)
Amit Bhaya, Fernando Agustin Pazos, Eugenius Kaszkurewicz
2009 J jnl
Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems.
Neurocomputing
Fernando Agustin Pazos, Amit Bhaya
2009 — conf
Control-theoretic design of iterative methods for symmetric linear systems of equations.
CDC
Amit Bhaya, Pierre-Alexandre Bliman, Fernando Agustin Pazos
2009 B conf
Unified control Liapunov function based design of neural networks that aim at global minimization of nonconvex functions.
IJCNN
Fernando Agustin Pazos, Amit Bhaya, Eugenius Kaszkurewicz
2007 — conf
Algorithm for variational inequality problems based on a gradient dynamical system designed using a control Liapunov function.
ISIC
Fernando Agustin Pazos, Amit Bhaya