Fernando Agustin Pazos

A control Liapunov function approach to generalized and regularized descent methods for zero finding

Amit Bhaya, Fernando Agustin Pazos, A. Bhaya, 2014, Int. J. Hybrid Intell. Syst..

Design of second order neural networks as dynamical control systems that aim to minimize nonconvex scalar functions

Eugenius Kaszkurewicz, Amit Bhaya, Fernando Agustin Pazos, 2012, Neurocomputing.

Adaptive choice of the Tikhonov regularization parameter to solve ill-posed linear algebraic equations via Liapunov Optimizing Control

Amit Bhaya, Fernando Agustin Pazos, A. Bhaya, 2015, J. Comput. Appl. Math..

Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions

Eugenius Kaszkurewicz, Amit Bhaya, Fernando Agustin Pazos, 2009, ICANN.

Algorithm for variational inequality problems based on a gradient dynamical system designed using a control Liapunov function

Amit Bhaya, Fernando Agustin Pazos, 2007, 2007 IEEE 22nd International Symposium on Intelligent Control.

The controlled conjugate gradient type trajectory-following neural net for minimization of nonconvex functions.

Eugenius Kaszkurewicz, Amit Bhaya, Fernando Agustin Pazos, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Cooperative parallel asynchronous computation of the solution of symmetric linear systems

Pierre-Alexandre Bliman, Amit Bhaya, Fernando Agustin Pazos, 2010, 49th IEEE Conference on Decision and Control (CDC).

Generalized Levenberg-Marquardt neural nets for minimization of quasiconvex scalar functions

Eugenius Kaszkurewicz, Amit Bhaya, Fernando Agustin Pazos, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Control-theoretic design of iterative methods for symmetric linear systems of equations

Pierre-Alexandre Bliman, Amit Bhaya, Fernando Agustin Pazos, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Unified control Liapunov function based design of neural networks that aim at global minimization of nonconvex functions

Eugenius Kaszkurewicz, Amit Bhaya, Fernando Agustin Pazos, 2009, 2009 International Joint Conference on Neural Networks.

Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems

Amit Bhaya, Fernando Agustin Pazos, 2009, Neurocomputing.

A cooperative conjugate gradient method for linear systems permitting multithread implementation of low complexity

Pierre-Alexandre Bliman, Amit Bhaya, Fernando Agustin Pazos, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Cooperative concurrent asynchronous computation of the solution of symmetric linear systems

Pierre-Alexandre Bliman, Amit Bhaya, Fernando Agustin Pazos, 2016, Numerical Algorithms.