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Elias D. Nino-Ruiz
Elias D. Nino-Ruiz
Associate Professor, Department of Computer Science, Universidad del Norte, BAQ
Verified email at vt.edu - Homepage
Title
Cited by
Cited by
Year
A tabu search method for load balancing in fog computing
N Téllez, M Jimeno, A Salazar, E Nino-Ruiz
Int. J. Artif. Intell 16 (2), 1-30, 2018
522018
An efficient implementation of the ensemble Kalman filter based on an iterative Sherman–Morrison formula
ED Nino Ruiz, A Sandu, J Anderson
Statistics and Computing 25, 561-577, 2015
472015
A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition
ED Nino-Ruiz, A Sandu, X Deng
Journal of Computational Science 36, 100654, 2019
462019
An ensemble Kalman filter implementation based on modified Cholesky decomposition for inverse covariance matrix estimation
ED Nino-Ruiz, A Sandu, X Deng
SIAM Journal on Scientific Computing 40 (2), A867-A886, 2018
432018
An ensemble Kalman filter implementation based on modified Cholesky decomposition for inverse covariance matrix estimation
ED Nino-Ruiz, A Sandu, X Deng
SIAM Journal on Scientific Computing 40 (2), A867-A886, 2018
412018
Ensemble Kalman filter implementations based on shrinkage covariance matrix estimation
ED Nino-Ruiz, A Sandu
Ocean Dynamics 65, 1423-1439, 2015
372015
A derivative-free trust region framework for variational data assimilation
EDN Ruiz, A Sandu
Journal of computational and applied mathematics 293, 164-179, 2016
282016
A derivative-free trust region framework for variational data assimilation
EDN Ruiz, A Sandu
Journal of computational and applied mathematics 293, 164-179, 2016
282016
Utilización de biosorbentes para la remoción de níquel y plomo en sistemas binarios
C Tejada, A Herrera, E Ruiz
Ciencia en desarrollo 7 (1), 31-36, 2016
272016
A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition
ED Nino-Ruiz, A Sandu, X Deng
Proceedings of the 6th Workshop on Latest Advances in Scalable Algorithms …, 2015
242015
Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation
ED Nino-Ruiz, A Sandu
Cluster computing 22, 2211-2221, 2019
232019
WRF-RPL: Weighted random forward RPL for high traffic and energy demanding scenarios
PD Acevedo, D Jabba, P Sanmartín, S Valle, ED Nino-Ruiz
IEEE Access 9, 60163-60174, 2021
222021
A matrix-free posterior ensemble kalman filter implementation based on a modified cholesky decomposition
ED Nino-Ruiz
Atmosphere 8 (7), 125, 2017
202017
Robust Data Assimilation Using and Huber Norms
V Rao, A Sandu, M Ng, ED Nino-Ruiz
SIAM Journal on Scientific Computing 39 (3), B548-B570, 2017
192017
Local search methods for the solution of implicit inverse problems
ED Nino-Ruiz, C Ardila, R Capacho
Soft Computing 22, 4819-4832, 2018
162018
A robust non-Gaussian data assimilation method for highly non-linear models
ED Nino-Ruiz, H Cheng, R Beltran
Atmosphere 9 (4), 126, 2018
142018
Improved Tabu Search and Simulated Annealing methods for nonlinear data assimilation
ED Nino-Ruiz, XS Yang
Applied Soft Computing 83, 105624, 2019
122019
A genetic algorithm for multiobjective hard scheduling optimization
E Niño, C Ardila, AJ Perez, Y Donoso
International Journal of Computers Communications and Control 5 (5), 2010
122010
An efficient ensemble Kalman Filter implementation via shrinkage covariance matrix estimation: exploiting prior knowledge
S Lopez-Restrepo, ED Nino-Ruiz, LG Guzman-Reyes, A Yarce, ...
Computational Geosciences 25, 985-1003, 2021
112021
On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes
OLQ Montoya, ED Niño-Ruiz, N Pinel
Environmental Science and Pollution Research 27, 35993-36012, 2020
112020
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Articles 1–20