I. M. Navon

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2024 J jnl
Accelerating inverse inference of ensemble Kalman filter via reduced-order model trained using adaptive sparse observations.
J. Comput. Phys.
Yuepeng Wang, Jie Li, Wenju Zhao, I. M. Navon, Guang Lin
2021 J jnl
Feasibility of DEIM for retrieving the initial field via dimensionality reduction.
J. Comput. Phys.
Yuepeng Wang, Xuemei Ding, Kun Hu, Fangxin Fang, I. M. Navon, Guang Lin
2020 J jnl
Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network.
CoRR
M. Cheng, Fangxin Fang, Christopher C. Pain, I. M. Navon
2018 J jnl
Goal-based sensitivity maps using time windows and ensemble perturbations.
CoRR
Claire E. Heaney, Pablo Salinas, Fangxin Fang, Christopher C. Pain, I. M. Navon
2017 J jnl
A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting.
J. Comput. Phys.
Dunhui Xiao, Pan Yang, Fangxin Fang, Jiansheng Xiang, Christopher C. Pain, I. M. Navon, Min Chen
2013 J jnl
Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods.
J. Comput. Phys.
Fangxin Fang, Christopher C. Pain, I. M. Navon, Ahmed H. Elsheikh, Juan Du, Dunhui Xiao
2013 J jnl
POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow.
Comput. Math. Appl.
Juan Du, Fangxin Fang, Christopher C. Pain, I. M. Navon, Jiang Zhu, David A. Ham
2013 J jnl
Reduced order modeling based on POD of a parabolized Navier-Stokes equations model II: Trust region POD 4D VAR data assimilation.
Comput. Math. Appl.
Juan Du, I. M. Navon, Jiang Zhu, Fangxin Fang, Aleksey K. Alekseev
2008 J jnl
Mixed Finite Element Formulation and Error Estimates Based on Proper Orthogonal Decomposition for the Nonstationary Navier-Stokes Equations.
SIAM J. Numer. Anal.
Zhendong Luo, Jing Chen, I. M. Navon, Xiaozhong Yang
2006 J jnl
A posteriori error estimation by postprocessor independent of method of flowfield calculation.
Comput. Math. Appl.
Aleksey K. Alekseev, I. M. Navon
2006 J jnl
Adjoint A Posteriori Error Measures for Anisotropic Mesh Optimisation.
Comput. Math. Appl.
P. W. Power, Christopher C. Pain, M. D. Piggott, Fangxin Fang, Gerard J. Gorman, A. P. Umpleby, Anthony J. H. Goddard, I. M. Navon
2006 J jnl
Open Boundary Control Problem for Navier-Stokes Equations Including a Free Surface: Data Assimilation.
Comput. Math. Appl.
I. Yu. Gejadze, G. J. M. Copeland, I. M. Navon
2006 J jnl
Reduced-Order Modeling of the Upper Tropical Pacific Ocean Model using Proper Orthogonal Decomposition.
Comput. Math. Appl.
Yanhua Cao, Jiang Zhu, Zhendong Luo, I. M. Navon
2003 J jnl
Numerical and theoretical considerations for sensitivity calculation of discontinuous flow.
Syst. Control. Lett.
Chris Homescu, I. M. Navon
1995 J jnl
A truncated Newton optimization algorithm in meteorology applications with analytic Hessian/vector products.
Comput. Optim. Appl.
Zhi Wang, I. M. Navon, Xiaolei Zou, François-Xavier Le Dimet
1990 J jnl
A combined simulated annealing and quasi-Newton-like conjugate-gradient method for determining the structure of mixed argon-xenon clusters.
Comput. Chem.
I. M. Navon, F. B. Brown, Daniel H. Robertson