Elias David Niño Ruiz

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 23

Top Topics

Covariance Matrix

Constrained Optimization

Data Assimilation

Top Venues

J. Comput. Sci.

J. Comput. Appl. Math.

Publications

Elias David Niño Ruiz, Randy Consuegra
AMLCS-DA: A data assimilation package in Python for Atmospheric General Circulation Models. SoftwareX 22 (2023)
Elias David Niño Ruiz, Sebastian Racedo Valbuena
TEDA: A Computational Toolbox for Teaching Ensemble Based Data Assimilation. ICCS (4) (2022)
Elias David Niño Ruiz, Luis Guzman, Daladier Jabba
An ensemble Kalman filter implementation based on the Ledoit and Wolf covariance matrix estimator. J. Comput. Appl. Math. 384 (2021)
Elias David Niño Ruiz, Felipe J. Acevedo García
Data-Driven Methods for Weather Forecast. ICCS (4) (2021)
Pedro David Acevedo, Daladier Jabba, Paul Sanmartin, Sebastián Valle, Elias David Niño Ruiz
WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios. IEEE Access 9 (2021)
Elias David Niño Ruiz
A Random Line-Search Optimization Method via Modified Cholesky Decomposition for Non-linear Data Assimilation. ICCS (5) (2020)
Andrey A. Popov, Adrian Sandu, Elias David Niño Ruiz, Geir Evensen
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. CoRR (2020)
Elias David Niño Ruiz, Alfonso Mancilla, Santiago Lopez-Restrepo, Olga Quintero-Montoya
A Maximum Likelihood Ensemble Filter via a Modified Cholesky Decomposition for Non-Gaussian Data Assimilation. Sensors 20 (3) (2020)
Elias David Niño Ruiz
A numerical method for solving linear systems in the preconditioned Crank-Nicolson algorithm. Appl. Math. Lett. 104 (2020)
Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition. J. Comput. Sci. 36 (2019)
Elias David Niño Ruiz, Luis E. Morales-Retat
A Tabu Search implementation for adaptive localization in ensemble-based methods. Soft Comput. 23 (14) (2019)
Elias David Niño Ruiz, Xin-She Yang
Improved Tabu Search and Simulated Annealing methods for nonlinear data assimilation. Appl. Soft Comput. 83 (2019)
Elias David Niño Ruiz, Carlos J. Ardila, Jesús Estrada, Rafael Capacho
A reduced-space line-search method for unconstrained optimization via random descent directions. Appl. Math. Comput. 341 (2019)
Elias David Niño Ruiz
Non-linear data assimilation via trust region optimization. Comput. Appl. Math. 38 (3) (2019)
Elias David Niño Ruiz, Adrian Sandu
Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation. Clust. Comput. 22 (Suppl 1) (2019)
Nadim Tellez, Miguel Jimeno, Augusto Salazar, Elias David Niño Ruiz
Container-based architecture for optimal face-recognition tasks in edge computing. SEC (2019)
Elias David Niño Ruiz, Carlos J. Ardila, Rafael Capacho
Local search methods for the solution of implicit inverse problems. Soft Comput. 22 (14) (2018)
Elias David Niño Ruiz
Implicit surrogate models for trust region based methods. J. Comput. Sci. 26 (2018)
Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation. SIAM J. Sci. Comput. 40 (2) (2018)
Elias David Niño Ruiz, Alfonso Mancilla, Juan C. Calabria
A Posterior Ensemble Kalman Filter Based On A Modified Cholesky Decomposition. ICCS (2017)
Elias David Niño Ruiz, Carlos J. Ardila, Alfonso Mancilla, Jesús Estrada
A Surrogate Model Based On Mixtures Of Taylor Expansions For Trust Region Based Methods. ICCS (2017)
Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
and Huber Norms. SIAM J. Sci. Comput. 39 (3) (2017)
Elias David Niño Ruiz, Adrian Sandu
A derivative-free trust region framework for variational data assimilation. J. Comput. Appl. Math. 293 (2016)
Elias David Niño Ruiz, Adrian Sandu, Jeffrey L. Anderson
An efficient implementation of the ensemble Kalman filter based on an iterative Sherman-Morrison formula. Stat. Comput. 25 (3) (2015)
Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition. ScalA@SC (2015)
Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
and Huber norms. CoRR (2015)
Elias David Niño Ruiz, Stella Miranda, Carlos J. Ardila, Wilson Nieto
PARMODS: A Parallel Framework for MODS Metaheuristics. Int. J. Comput. Commun. Control 9 (6) (2014)
Elias David Niño Ruiz, Henry Nieto Parra, Anangelica Isabel Chinchilla Camargo
Evolutionary Algorithm based on simulated annealing for the multi-objective optimization of combinatorial problems. Int. J. Comb. Optim. Probl. Informatics 4 (2) (2013)
Elias David Niño Ruiz, Adrian Sandu, Jeffrey L. Anderson
An Efficient Implementation of the Ensemble Kalman Filter Based on an Iterative Sherman-Morrison Formula CoRR (2013)
Elias David Niño Ruiz
Evolutionary Algorithm based on the Automata Theory for the Multi-objective Optimization of Combinatorial Problems. Int. J. Comput. Commun. Control 7 (5) (2012)
Elias David Niño Ruiz, Carlos J. Ardila, Anangelica Isabel Chinchilla Camargo
A Novel, Evolutionary, Simulated Annealing inspired Algorithm for the Multi-Objective Optimization of Combinatorial Problems. ICCS (2012)
Elias David Niño Ruiz, Anangelica Isabel Chinchilla Camargo
EMODS: A Novel Evolutionary Metaheuristic based in the Automata Theory for the Multiobjective Optimization of Combinatorials Problems. ICORES (2012)