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Leticia Velázquez
Person information
- affiliation: University of Texas at El Paso, USA
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2020 – today
- 2022
- [c6]Miguel Argáez, Osvaldo Mendez, Leticia Velázquez:
The Notion of the Quasicentral Path in Linear Programming. WEA 2022: 173-184
2010 – 2019
- 2012
- [c5]Pablo Guillén, Miguel Argáez, J. Barrera, Leticia Velázquez, Francisco Javier Martínez de Pisón:
Data mining in the process of localization and classification of subcorticals structures. EATIS 2012: 121-125 - 2011
- [j3]Miguel Argáez, Leticia Velázquez, Carlos Quintero, Hector Klie, Mary F. Wheeler:
A Hybrid Algorithm for Global Optimization Problems. Reliab. Comput. 15(3): 230-241 (2011) - [c4]Pablo Guillén, Francisco Javier Martínez de Pisón, Reinaldo Sanchez-Arias, Miguel Argáez, Leticia Velázquez:
Characterization of subcortical structures during deep brain stimulation utilizing support vector machines. EMBC 2011: 7949-7952
2000 – 2009
- 2009
- [j2]Cristiano Jacques Miosso, Ricardo von Borries, Miguel Argáez, Leticia Velázquez, Carlos Quintero, C. M. Potes:
Compressive sensing reconstruction with prior information by iteratively reweighted least-squares. IEEE Trans. Signal Process. 57(6): 2424-2431 (2009) - 2005
- [c3]Leticia Velázquez, Miguel Argáez, Brenda Bueno, Boguslaw Stec:
On a global optimization technique for solving a nonlinear hyperboloid least squares problem. Richard Tapia Celebration of Diversity in Computing Conference 2005: 1-3 - 2003
- [c2]Miguel Argáez, Leticia Velázquez:
A new infeasible interior-point algorithm for linear programming. Richard Tapia Celebration of Diversity in Computing Conference 2003: 12-14 - [c1]Miguel Argáez, Leticia Velázquez, Cristina Villalobos:
On the development of a trust region interior-point method for large scale nonlinear programs. Richard Tapia Celebration of Diversity in Computing Conference 2003: 15-17 - 2001
- [j1]Leticia Velázquez, George N. Phillips Jr., Richard A. Tapia, Yin Zhang:
Selective Search for Global Optimization of Zero or Small Residual Least-Squares Problems: A Numerical Study. Comput. Optim. Appl. 20(3): 299-315 (2001)
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