Nino-Ruiz, E. D., A Data-Driven Localization Method for Ensemble Based Data Assimilation. Journal of Computational Science, Vol. 51, 101328., Elsevier, (2021). (HTML)
Lopez-Restrepo, S., Nino-Ruiz, E.D., Guzman-Reyes, L.G. et al. An efficient ensemble Kalman Filter implementation via shrinkage covariance matrix estimation: exploiting prior knowledge. Computational Geosciences (2021). (HTML)
Elias D. Nino-Ruiz, Hybrid Ensemble Kalman Filter and Markov Chain Monte Carlo Implementations for Non-Gaussian Data Assimilation, International Journal of Artificial Intelligence, 2020 Autumn (October) , Volume 18, Number 2. (HTML)
Elias D. Nino-Ruiz, Luis Guzman, Daladier Jabba, An ensemble Kalman filter implementation based on the Ledoit and Wolf covariance matrix estimator, Journal of Computational and Applied Mathematics, Elsevier. (2020). (HTML)
Nino-Ruiz, E. D. (2020, June). A Random Line-Search Optimization Method via Modified Cholesky Decomposition for Non-linear Data Assimilation. In International Conference on Computational Science (pp. 189-202). Springer, Cham. - ( HTML )
Montoya, O.L.Q., Niño-Ruiz, E.D. & Pinel, N. On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes. Environ Sci Pollut Res, Springer. (2020). https://doi.org/10.1007/s11356-020-08268-4
Nino-Ruiz, E.D., Mancilla-Herrera, A., Lopez-Restrepo, S., and Quintero-Montoya, O. A Maximum Likelihood Ensemble Filter Via A Modified Cholesky Decomposition For Non-Gaussian Data Assimilation. Sensors, MPDI. (2020). https://doi.org/10.3390/s20030877
Elias D. Nino-Ruiz, Juan C. Calabria-Sarmiento, Luis G. Guzman-Reyes, and Alvin Henao. A Four Dimensional Variational Data Assimilation Framework for Wind Energy Potential Estimation. Atmosphere, MPDI. (2020). https://doi.org/10.3390/atmos11020167
Nino-Ruiz, E. D. A numerical method for solving linear systems in the preconditioned Crank–Nicolson algorithm. Applied Mathematics Letters, Eslevier. (2020). https://doi.org/10.1016/j.aml.2020.106254.
Elias D. Nino-Ruiz, Rolando Beltran-Arrieta, & Luis Guzman-Reyes. An adjoint-free four-dimensional variational data assimilation method via a modified Cholesky decomposition and an iterative Woodbury matrix formula. Non-Linear Dynamics, Springer. (2019). https://doi.org/10.1007/s11071-019-05411-w
Jairo Pimentel, Carlos Julio Ardila Hernandez, Elías Niño, Daladier Jabba Molinares, Jonathan Ruiz-Rangel. Water Cycle Algorithm: Implementation and Analysis of Solutions to the Bi-Objective Travelling Salesman Problem, International Journal of Artificial Intelligence, CESER, Volume 17 (2), (2019). http://www.ceser.in/ceserp/index.php/ijai/article/view/6256
Elias D. Nino-Ruiz, Xin-She Yang, Improved Tabu Search and Simulated Annealing methods for nonlinear data assimilation, Applied Soft Computing, Elsevier, Volume 83, (2019). https://doi.org/10.1016/j.asoc.2019.105624
Nino-Ruiz, E. D. Non-linear data assimilation via trust region optimization. Computational and Applied Mathematics, Springer, 38:129 (2019). https://doi.org/10.1007/s40314-019-0901-x
Elias D. Nino-Ruiz, Carlos Ardila, Jesus Estrada and Jose Capacho. A reduced-space line-search method for unconstrained optimization via random descent directions. Applied Mathematics and Computation, Elsevier, 341(2018): 15-30. https://doi.org/10.1016/j.amc.2018.08.020
Nino-Ruiz, E. D., Mancilla-Herrera, A. M., & Beltran-Arrieta, R. (2018, May). Non-Gaussian data assimilation via modified cholesky decomposition. In 2018 7th International Conference on Computers Communications and Control (ICCCC) (pp. 29-36). IEEE. https://ieeexplore.ieee.org/document/8390433/
Elias D. Nino-Ruiz & Luis E. Morales-Retat. A Tabu Search implementation for adaptive localization in ensemble-based methods. Soft Computing, Springer (2018) https://doi.org/10.1007/s00500-018-3210-1
Nino-Ruiz, Elias D.; Cheng, Haiyan; Beltran, Rolando. A Robust Non-Gaussian Data Assimilation Method for Highly Non-Linear Models. Atmosphere 9, no. 4: 126. (2018), http://www.mdpi.com/2073-4433/9/4/126
Elias D. Nino-Ruiz. Implicit Surrogate Models For Trust Region Based Methods, Journal of Scientific Computing, Elsevier, (2018), https://doi.org/10.1016/j.jocs.2018.02.003
Elias D. Nino-Ruiz, A Matrix-Free Posterior Ensemble Kalman Filter Implementation Based on a Modified Cholesky Decomposition. Atmosphere Journal, 8:125, (2017), https://doi.org/10.3390/atmos8070125
Nino-Ruiz, E.D., Ardila, C. & Capacho, R. Local search methods for the solution of implicit inverse problems, Soft Computing, Springer (2017), https://doi.org/10.1007/s00500-017-2670-z
Elias D. Nino-Ruiz, Carlos J. Ardila, Alfonso Mancilla, Jesus Estrada, A Surrogate Model Based On Mixtures Of Taylor Expansions For Trust Region Based Methods. Procedia Computer Science, Volume 108, 2017, Pages 1473-1482, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.05.200.
Elias D. Nino-Ruiz, Alfonso Mancilla, Juan C. Calabria, A Posterior Ensemble Kalman Filter Based On A Modified Cholesky Decomposition, Procedia Computer Science, Volume 108, 2017, Pages 2049-2058, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.05.062.
