Ionel Michael Navon

Orcid: 0000-0001-7830-7094

Affiliations:
  • Florida State University, Tallahassee, USA


According to our database1, Ionel Michael Navon authored at least 39 papers between 1988 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2024
Accelerating inverse inference of ensemble Kalman filter via reduced-order model trained using adaptive sparse observations.
J. Comput. Phys., January, 2024

A reduced order model discretisation of the space-angle phase-space dimensions of the Boltzmann transport equation with application to nuclear reactor problems.
J. Comput. Phys., 2024

Reduced-order modelling based on Koopman operator theory.
CoRR, 2024

Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet).
CoRR, 2024

2023
Ensemble Kalman filter for GAN-ConvLSTM based long lead-time forecasting.
J. Comput. Sci., May, 2023

CAMERA: A method for cost-aware, adaptive, multifidelity, efficient reliability analysis.
J. Comput. Phys., 2023

2022
A POD reduced-order model based on spectral Galerkin method for solving the space-fractional Gray-Scott model with error estimate.
Eng. Comput., 2022

An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes.
CoRR, 2022

Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations.
CoRR, 2022

2021
Feasibility of DEIM for retrieving the initial field via dimensionality reduction.
J. Comput. Phys., 2021

2020
Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network.
CoRR, 2020

2018
Goal-based sensitivity maps using time windows and ensemble perturbations.
CoRR, 2018

2017
A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting.
J. Comput. Phys., 2017

Comparative numerical analysis using reduced-order modeling strategies for nonlinear large-scale systems.
J. Comput. Appl. Math., 2017

2015
POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation.
J. Comput. Phys., 2015

A POD reduced order model for resolving angular direction in neutron/photon transport problems.
J. Comput. Phys., 2015

2014
Non-linear model reduction for the Navier-Stokes equations using residual DEIM method.
J. Comput. Phys., 2014

POD/DEIM Strategies for reduced data assimilation systems.
CoRR, 2014

Comparison of POD reduced order strategies for the nonlinear 2D Shallow Water Equations.
CoRR, 2014

2013
A reduced-order finite volume element formulation based on POD method and numerical simulation for two-dimensional solute transport problems.
Math. Comput. Simul., 2013

POD/DEIM nonlinear model order reduction of an ADI implicit shallow water equations model.
J. Comput. Phys., 2013

Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods.
J. Comput. Phys., 2013

Reduced order modeling based on POD of a parabolized Navier-Stokes equations model II: Trust region POD 4D VAR data assimilation.
Comput. Math. Appl., 2013

POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow.
Comput. Math. Appl., 2013

Application of POD-DEIM Approach for Dimension Reduction of a Diffusive Predator-Prey System with Allee Effect.
Proceedings of the Large-Scale Scientific Computing - 9th International Conference, 2013

2009
Comparison of advanced large-scale minimization algorithms for the solution of inverse ill-posed problems.
Optim. Methods Softw., 2009

2008
Mixed Finite Element Formulation and Error Estimates Based on Proper Orthogonal Decomposition for the Nonstationary Navier-Stokes Equations.
SIAM J. Numer. Anal., 2008

2006
Adjoint A Posteriori Error Measures for Anisotropic Mesh Optimisation.
Comput. Math. Appl., 2006

Open Boundary Control Problem for Navier-Stokes Equations Including a Free Surface: Data Assimilation.
Comput. Math. Appl., 2006

Reduced-Order Modeling of the Upper Tropical Pacific Ocean Model using Proper Orthogonal Decomposition.
Comput. Math. Appl., 2006

A posteriori error estimation by postprocessor independent of method of flowfield calculation.
Comput. Math. Appl., 2006

2005
The Impact of Background Error on Incomplete Observations for 4D-Var Data Assimilation with the FSU GSM.
Proceedings of the Computational Science, 2005

2003
Numerical and theoretical considerations for sensitivity calculation of discontinuous flow.
Syst. Control. Lett., 2003

Performance of hybrid methods for large-scale unconstrained optimization as applied to models of proteins.
J. Comput. Chem., 2003

1999
Performance of efficient minimization algorithms as applied to models of peptides and proteins.
J. Comput. Chem., 1999

1995
A truncated Newton optimization algorithm in meteorology applications with analytic Hessian/vector products.
Comput. Optim. Appl., 1995

1993
Numerical Experience with Limited-Memory Quasi-Newton and Truncated Newton Methods.
SIAM J. Optim., 1993

1990
A combined simulated annealing and quasi-Newton-like conjugate-gradient method for determining the structure of mixed argon-xenon clusters.
Comput. Chem., 1990

1988
Vectorization of conjugate-gradient methods for large-scale minimization.
Proceedings of the Proceedings Supercomputing '88, Orlando, FL, USA, November 12-17, 1988, 1988


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