Elias David Niño Ruiz

36 papers C 1Misc 4Journal 27Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Statistical package for computing precision covariance matrices via modified Cholesky decomposition.
SoftwareX
Elias David Niño Ruiz, Dylan Samuel Cantillo Arrieta, Giuliano Raffaele Frieri Quiroz, Nicolas Quintero Quintero
2025 J jnl
TEDA: A lightweight Python framework for educational data assimilation.
SoftwareX
Elias David Niño Ruiz
2023 J jnl
AMLCS-DA: A data assimilation package in Python for Atmospheric General Circulation Models.
SoftwareX
Elias David Niño Ruiz, Randy Consuegra
2022 — conf
TEDA: A Computational Toolbox for Teaching Ensemble Based Data Assimilation.
ICCS (4)
Elias David Niño Ruiz, Sebastian Racedo Valbuena
2021 J jnl
A data-driven localization method for ensemble based data assimilation.
J. Comput. Sci.
Elias David Niño Ruiz
2021 J jnl
A line-search optimization method for non-Gaussian data assimilation via random quasi-orthogonal sub-spaces.
J. Comput. Sci.
Elias David Niño Ruiz
2021 J jnl
An ensemble Kalman filter implementation based on the Ledoit and Wolf covariance matrix estimator.
J. Comput. Appl. Math.
Elias David Niño Ruiz, Luis Guzman, Daladier Jabba
2021 — conf
Data-Driven Methods for Weather Forecast.
ICCS (4)
Elias David Niño Ruiz, Felipe J. Acevedo García
2021 J jnl
WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios.
IEEE Access
Pedro David Acevedo, Daladier Jabba, Paul Sanmartin, Sebastián Valle, Elias David Niño Ruiz
2020 J jnl
A Maximum Likelihood Ensemble Filter via a Modified Cholesky Decomposition for Non-Gaussian Data Assimilation.
Sensors
Elias David Niño Ruiz, Alfonso Mancilla, Santiago Lopez-Restrepo, Olga Lucía Quintero Montoya
2020 — conf
A Random Line-Search Optimization Method via Modified Cholesky Decomposition for Non-linear Data Assimilation.
ICCS (5)
Elias David Niño Ruiz
2020 J jnl
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering.
CoRR
Andrey A. Popov, Adrian Sandu, Elias David Niño Ruiz, Geir Evensen
2020 J jnl
A numerical method for solving linear systems in the preconditioned Crank-Nicolson algorithm.
Appl. Math. Lett.
Elias David Niño Ruiz
2019 J jnl
A Tabu Search implementation for adaptive localization in ensemble-based methods.
Soft Comput.
Elias David Niño Ruiz, Luis E. Morales-Retat
2019 J jnl
A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition.
J. Comput. Sci.
Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
2019 J jnl
A reduced-space line-search method for unconstrained optimization via random descent directions.
Appl. Math. Comput.
Elias David Niño Ruiz, Carlos J. Ardila, Jesús Estrada, Rafael Capacho
2019 Misc conf
Container-based architecture for optimal face-recognition tasks in edge computing.
SEC
Nadim Tellez, Miguel Jimeno, Augusto Salazar, Elias David Niño Ruiz
2019 J jnl
Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation.
Clust. Comput.
Elias David Niño Ruiz, Adrian Sandu
2019 J jnl
Improved Tabu Search and Simulated Annealing methods for nonlinear data assimilation.
Appl. Soft Comput.
Elias David Niño Ruiz, Xin-She Yang
2019 J jnl
Non-linear data assimilation via trust region optimization.
Comput. Appl. Math.
Elias David Niño Ruiz
2018 J jnl
An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation.
SIAM J. Sci. Comput.
Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
2018 J jnl
Implicit surrogate models for trust region based methods.
J. Comput. Sci.
Elias David Niño Ruiz
2018 J jnl
Local search methods for the solution of implicit inverse problems.
Soft Comput.
Elias David Niño Ruiz, Carlos J. Ardila, Rafael Capacho
2017 Misc conf
A Posterior Ensemble Kalman Filter Based On A Modified Cholesky Decomposition.
ICCS
Elias David Niño Ruiz, Alfonso Mancilla, Juan C. Calabria
2017 Misc conf
A Surrogate Model Based On Mixtures Of Taylor Expansions For Trust Region Based Methods.
ICCS
Elias David Niño Ruiz, Carlos J. Ardila, Alfonso Mancilla, Jesús Estrada
2017 J jnl
Robust Data Assimilation Using L
SIAM J. Sci. Comput.
Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
2016 J jnl
A derivative-free trust region framework for variational data assimilation.
J. Comput. Appl. Math.
Elias David Niño Ruiz, Adrian Sandu
2015 — conf
A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition.
ScalA@SC
Elias David Niño Ruiz, Adrian Sandu, Xinwei Deng
2015 J jnl
An efficient implementation of the ensemble Kalman filter based on an iterative Sherman-Morrison formula.
Stat. Comput.
Elias David Niño Ruiz, Adrian Sandu, Jeffrey L. Anderson
2015 J jnl
Robust data assimilation using L
CoRR
Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
2014 J jnl
PARMODS: A Parallel Framework for MODS Metaheuristics.
Int. J. Comput. Commun. Control
Elias David Niño Ruiz, Stella Miranda, Carlos J. Ardila, Wilson Nieto
2013 J jnl
An Efficient Implementation of the Ensemble Kalman Filter Based on an Iterative Sherman-Morrison Formula
CoRR
Elias David Niño Ruiz, Adrian Sandu, Jeffrey L. Anderson
2013 J jnl
Evolutionary Algorithm based on simulated annealing for the multi-objective optimization of combinatorial problems.
Int. J. Comb. Optim. Probl. Informatics
Elias David Niño Ruiz, Henry Nieto Parra, Anangelica Isabel Chinchilla Camargo
2012 Misc conf
A Novel, Evolutionary, Simulated Annealing inspired Algorithm for the Multi-Objective Optimization of Combinatorial Problems.
ICCS
Elias David Niño Ruiz, Carlos J. Ardila, Anangelica Isabel Chinchilla Camargo
2012 C conf
EMODS: A Novel Evolutionary Metaheuristic based in the Automata Theory for the Multiobjective Optimization of Combinatorials Problems.
ICORES
Elias David Niño Ruiz, Anangelica Isabel Chinchilla Camargo
2012 J jnl
Evolutionary Algorithm based on the Automata Theory for the Multi-objective Optimization of Combinatorial Problems.
Int. J. Comput. Commun. Control
Elias David Niño Ruiz