Emil M. Constantinescu
Orcid: 0000-0002-7003-6899
According to our database1,
Emil M. Constantinescu
authored at least 56 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
Data-Driven Estimation of Failure Probabilities in Correlated Structure-Preserving Stochastic Power System Models.
CoRR, 2024
2023
J. Comput. Sci., January, 2023
Centralized calibration of power system dynamic models using variational data assimilation.
CoRR, 2023
Learning Subgrid-Scale Models in Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier-Stokes Equations.
CoRR, 2023
Scalable Implicit Solvers with Dynamic Mesh Adaptation for a Relativistic Drift-Kinetic Fokker-Planck-Boltzmann Model.
CoRR, 2023
2022
Optimal Experimental Design for Inverse Problems in the Presence of Observation Correlations.
SIAM J. Sci. Comput., August, 2022
PETSc TSAdjoint: A Discrete Adjoint ODE Solver for First-Order and Second-Order Sensitivity Analysis.
SIAM J. Sci. Comput., 2022
Stability Analysis of Coupled Advection-Diffusion Models with Bulk Interface Condition.
J. Sci. Comput., 2022
Entropy-Preserving and Entropy-Stable Relaxation IMEX and Multirate Time-Stepping Methods.
J. Sci. Comput., 2022
A Scalable Space-Time Domain Decomposition Approach for Solving Large Scale Nonlinear Regularized Inverse Ill Posed Problems in 4D Variational Data Assimilation.
J. Sci. Comput., 2022
CoRR, 2022
CoRR, 2022
Appl. Math. Lett., 2022
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
2021
Mass-Conserving Implicit-Explicit Methods for Coupled Compressible Navier-Stokes Equations.
CoRR, 2021
Proceedings of the Computational Science - ICCS 2021, 2021
2020
Statistical Treatment of Inverse Problems Constrained by Differential Equations-Based Models with Stochastic Terms.
SIAM/ASA J. Uncertain. Quantification, 2020
J. Sci. Comput., 2020
A scalable matrix-free spectral element approach for unsteady PDE constrained optimization using PETSc/TAO.
J. Comput. Sci., 2020
CoRR, 2020
A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities.
Proceedings of the Computational Science - ICCS 2020, 2020
2019
Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis.
IEEE Trans. Vis. Comput. Graph., 2019
SIAM/ASA J. Uncertain. Quantification, 2019
Acceleration of the IMplicit-EXplicit nonhydrostatic unified model of the atmosphere on manycore processors.
Int. J. High Perform. Comput. Appl., 2019
2018
Generalizing global error estimation for ordinary differential equations by using coupled time-stepping methods.
J. Comput. Appl. Math., 2018
Validation of a PETSc based software implementing a 4DVAR Data Assimilation algorithm: a case study related with an Oceanic Model based on Shallow Water equation.
CoRR, 2018
An Optimal Experimental Design Framework for Adaptive Inflation and Covariance Localization for Ensemble Filters.
CoRR, 2018
Concurr. Comput. Pract. Exp., 2018
Performance Evaluation for a PETSc Parallel-in-Time Solver Based on the MGRIT Algorithm.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018
2017
IEEE Trans. Smart Grid, 2017
IEEE Trans. Circuits Syst. I Regul. Pap., 2017
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017
Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics.
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
2016
Semi-implicit Time Integration of Atmospheric Flows with Characteristic-Based Flux Partitioning.
SIAM J. Sci. Comput., 2016
Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers.
Proceedings of the Euro-Par 2016: Parallel Processing, 2016
2015
Efficient Implementation of Nonlinear Compact Schemes on Massively Parallel Platforms.
SIAM J. Sci. Comput., 2015
Probabilistic Density Function Method for Stochastic ODEs of Power Systems with Uncertain Power Input.
SIAM/ASA J. Uncertain. Quantification, 2015
2014
A Low-Memory Approach for Best-State Estimation of Hidden Markov Models with Model Error.
SIAM J. Numer. Anal., 2014
2013
Implicit-Explicit Formulations of a Three-Dimensional Nonhydrostatic Unified Model of the Atmosphere (NUMA).
SIAM J. Sci. Comput., 2013
J. Sci. Comput., 2013
Int. J. High Perform. Comput. Appl., 2013
Evaluation of overlapping restricted additive schwarz preconditioning for parallel solution of very large power flow problems.
Proceedings of the 3rd International Workshop on High Performance Computing, 2013
2011
Proceedings of the Uncertainty Quantification in Scientific Computing, 2011
2010
SIAM J. Sci. Comput., 2010
2009
J. Sci. Comput., 2009
Proceedings of the Computational Science, 2009
2008
Predicting air quality: Improvements through advanced methods to integrate models and measurements.
J. Comput. Phys., 2008
2007
J. Sci. Comput., 2007
Proceedings of the Computational Science, 2007
2005
Proceedings of the Computational Science, 2005
Proceedings of the Computational Science, 2005
2004
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004