Selective Search for Global Optimization of Zero or Small Residual Least-Squares Problems: A Numerical Study. - Leticia Velázquez; George N. Phillips Jr.; Richard A. Tapia; Yin Zhang 010 (Comput. Optim. Appl., 2001)

A new infeasible interior-point algorithm for linear programming. - Miguel Argáez; Leticia Velázquez (Richard Tapia Celebration of Diversity in Computing Conference, 2003)

On the development of a trust region interior-point method for large scale nonlinear programs. - Miguel Argáez; Leticia Velázquez; Cristina Villalobos (Richard Tapia Celebration of Diversity in Computing Conference, 2003)

On a global optimization technique for solving a nonlinear hyperboloid least squares problem. - Leticia Velázquez; Miguel Argáez; Brenda Bueno; Boguslaw Stec (Richard Tapia Celebration of Diversity in Computing Conference, 2005)

Compressive sensing reconstruction with prior information by iteratively reweighted least-squares. - Cristiano Jacques Miosso; Ricardo von Borries; Miguel Argáez; Leticia Velázquez; Carlos Quintero; C. M. Potes (IEEE Trans. Signal Process., 2009)

Characterization of subcortical structures during deep brain stimulation utilizing support vector machines. - Pablo Guillén; Francisco Javier Martínez de Pisón; Reinaldo Sanchez-Arias; Miguel Argáez; Leticia Velázquez (EMBC, 2011)

A Hybrid Algorithm for Global Optimization Problems. - Miguel Argáez; Leticia Velázquez; Carlos Quintero; Hector Klie; Mary F. Wheeler (Reliab. Comput., 2011)

Data mining in the process of localization and classification of subcorticals structures. - Pablo Guillén; Miguel Argáez; J. Barrera; Leticia Velázquez; Francisco Javier Martínez de Pisón (EATIS, 2012)

The Notion of the Quasicentral Path in Linear Programming. - Miguel Argáez; Osvaldo Mendez; Leticia Velázquez (WEA, 2022)