Login / Signup
I. M. Navon
ORCID
Publication Activity (10 Years)
Years Active: 1990-2024
Publications (10 Years): 5
Top Topics
Reduced Order Model
Dimensionality Reduction
Dynamic Model
Kalman Filter
Top Venues
J. Comput. Phys.
CoRR
</>
Publications
</>
Yuepeng Wang
,
Jie Li
,
Wenju Zhao
,
I. M. Navon
,
Guang Lin
Accelerating inverse inference of ensemble Kalman filter via reduced-order model trained using adaptive sparse observations.
J. Comput. Phys.
496 (2024)
Yuepeng Wang
,
Xuemei Ding
,
Kun Hu
,
Fangxin Fang
,
I. M. Navon
,
Guang Lin
Feasibility of DEIM for retrieving the initial field via dimensionality reduction.
J. Comput. Phys.
429 (2021)
M. Cheng
,
Fangxin Fang
,
Christopher C. Pain
,
I. M. Navon
Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network.
CoRR
(2020)
Claire E. Heaney
,
P. Salinas
,
Fangxin Fang
,
Christopher C. Pain
,
I. M. Navon
Goal-based sensitivity maps using time windows and ensemble perturbations.
CoRR
(2018)
Dunhui Xiao
,
Pan Yang
,
Fangxin Fang
,
Jiansheng Xiang
,
Christopher C. Pain
,
I. M. Navon
,
Min Chen
A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting.
J. Comput. Phys.
330 (2017)
Juan Du
,
Fangxin Fang
,
Christopher C. Pain
,
I. M. Navon
,
Jiang Zhu
,
David A. Ham
POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow.
Comput. Math. Appl.
65 (3) (2013)
Juan Du
,
I. M. Navon
,
Jiang Zhu
,
Fangxin Fang
,
Aleksey K. Alekseev
Reduced order modeling based on POD of a parabolized Navier-Stokes equations model II: Trust region POD 4D VAR data assimilation.
Comput. Math. Appl.
65 (3) (2013)
Fangxin Fang
,
Christopher C. Pain
,
I. M. Navon
,
A. H. Elsheikh
,
Juan Du
,
Dunhui Xiao
Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods.
J. Comput. Phys.
234 (2013)
Zhendong Luo
,
Jing Chen
,
I. M. Navon
,
Xiaozhong Yang
Mixed Finite Element Formulation and Error Estimates Based on Proper Orthogonal Decomposition for the Nonstationary Navier-Stokes Equations.
SIAM J. Numer. Anal.
47 (1) (2008)
I. Yu. Gejadze
,
G. J. M. Copeland
,
I. M. Navon
Open Boundary Control Problem for Navier-Stokes Equations Including a Free Surface: Data Assimilation.
Comput. Math. Appl.
52 (8-9) (2006)
P. W. Power
,
Christopher C. Pain
,
M. D. Piggott
,
Fangxin Fang
,
Gerard J. Gorman
,
A. P. Umpleby
,
Anthony J. H. Goddard
,
I. M. Navon
Adjoint A Posteriori Error Measures for Anisotropic Mesh Optimisation.
Comput. Math. Appl.
52 (8-9) (2006)
Yanhua Cao
,
Jiang Zhu
,
Zhendong Luo
,
I. M. Navon
Reduced-Order Modeling of the Upper Tropical Pacific Ocean Model using Proper Orthogonal Decomposition.
Comput. Math. Appl.
52 (8-9) (2006)
Aleksey K. Alekseev
,
I. M. Navon
A posteriori error estimation by postprocessor independent of method of flowfield calculation.
Comput. Math. Appl.
51 (3-4) (2006)
Chris Homescu
,
I. M. Navon
Numerical and theoretical considerations for sensitivity calculation of discontinuous flow.
Syst. Control. Lett.
48 (3-4) (2003)
Zhi Wang
,
I. M. Navon
,
X. Zou
,
François-Xavier Le Dimet
A truncated Newton optimization algorithm in meteorology applications with analytic Hessian/vector products.
Comput. Optim. Appl.
4 (3) (1995)
I. M. Navon
,
F. B. Brown
,
Daniel H. Robertson
A combined simulated annealing and quasi-Newton-like conjugate-gradient method for determining the structure of mixed argon-xenon clusters.
Comput. Chem.
14 (4) (1990)