Elias D. Niño
Orcid: 0000-0001-7784-8163Affiliations:
- Universidad del Norte, Barranquilla, Colombia
- Virginia Polytechnic Institute and State University, Blacksburg, VA, USA (PhD 2015)
According to our database1,
Elias D. Niño
authored at least 35 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
AMLCS-DA: A data assimilation package in Python for Atmospheric General Circulation Models.
SoftwareX, May, 2023
2022
Proceedings of the Computational Science - ICCS 2022, 2022
2021
An ensemble Kalman filter implementation based on the Ledoit and Wolf covariance matrix estimator.
J. Comput. Appl. Math., 2021
WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios.
IEEE Access, 2021
Proceedings of the Computational Science - ICCS 2021, 2021
2020
A Maximum Likelihood Ensemble Filter via a Modified Cholesky Decomposition for Non-Gaussian Data Assimilation.
Sensors, 2020
CoRR, 2020
A numerical method for solving linear systems in the preconditioned Crank-Nicolson algorithm.
Appl. Math. Lett., 2020
A Random Line-Search Optimization Method via Modified Cholesky Decomposition for Non-linear Data Assimilation.
Proceedings of the Computational Science - ICCS 2020, 2020
2019
Soft Comput., 2019
A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition.
J. Comput. Sci., 2019
Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation.
Clust. Comput., 2019
Comput. Appl. Math., 2019
Improved Tabu Search and Simulated Annealing methods for nonlinear data assimilation.
Appl. Soft Comput., 2019
A reduced-space line-search method for unconstrained optimization via random descent directions.
Appl. Math. Comput., 2019
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019
2018
Soft Comput., 2018
An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation.
SIAM J. Sci. Comput., 2018
2017
SIAM J. Sci. Comput., 2017
Proceedings of the International Conference on Computational Science, 2017
A Surrogate Model Based On Mixtures Of Taylor Expansions For Trust Region Based Methods.
Proceedings of the International Conference on Computational Science, 2017
2016
J. Comput. Appl. Math., 2016
2015
An efficient implementation of the ensemble Kalman filter based on an iterative Sherman-Morrison formula.
Stat. Comput., 2015
A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition.
Proceedings of the 6th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2015
2014
Int. J. Comput. Commun. Control, 2014
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014
2013
Evolutionary Algorithm based on simulated annealing for the multi-objective optimization of combinatorial problems.
Int. J. Comb. Optim. Probl. Informatics, 2013
Automata Theory based Approach to the Join Ordering Problem in Relational Database Systems.
Proceedings of the DATA 2013 - Proceedings of the 2nd International Conference on Data Technologies and Applications, Reykjavík, Iceland, 29, 2013
2012
A Novel, Evolutionary, Simulated Annealing inspired Algorithm for the Multi-Objective Optimization of Combinatorial Problems.
Proceedings of the International Conference on Computational Science, 2012
An Effcient Implementation of the Ensemble Kalman Filter Based on Iterative Sherman Morrison Formula.
Proceedings of the International Conference on Computational Science, 2012
Evolutionary Algorithm based on the Automata Theory for the Multi-objective Optimization of Combinatorial Problems.
Int. J. Comput. Commun. Control, 2012
EMODS: A Novel Evolutionary Metaheuristic based in the Automata Theory for the Multiobjective Optimization of Combinatorials Problems.
Proceedings of the ICORES 2012, 2012
Proceedings of the 2012 Seventh International Conference on P2P, 2012
2010
Int. J. Comput. Commun. Control, 2010