POD/DEIM nonlinear model order reduction of an ADI implicit shallow water equations model R Ştefănescu, IM Navon Journal of Computational Physics 237, 95-114, 2013 | 166 | 2013 |
Comparison of POD reduced order strategies for the nonlinear 2D shallow water equations R Ştefănescu, A Sandu, IM Navon International Journal for Numerical Methods in Fluids 76 (8), 497-521, 2014 | 123 | 2014 |
POD/DEIM Reduced-Order Strategies for Efficient Four Dimensional Variational Data Assimilation R Ştefănescu, A Sandu, IM Navon, VD Assimilation | 112 | 2014 |
Comparative numerical analysis using reduced-order modeling strategies for nonlinear large-scale systems G Dimitriu, R Ştefănescu, IM Navon Journal of Computational and Applied Mathematics 310, 32-43, 2017 | 51 | 2017 |
Multivariate predictions of local reduced‐order‐model errors and dimensions A Moosavi, R Ştefănescu, A Sandu International Journal for Numerical Methods in Engineering 113 (3), 512-533, 2018 | 33 | 2018 |
The reduced‐order hybrid Monte Carlo sampling smoother A Attia, R Ştefănescu, A Sandu International Journal for Numerical Methods in Fluids 83 (1), 28-51, 2017 | 33 | 2017 |
Efficient approximation of Sparse Jacobians for time‐implicit reduced order models R Ştefănescu, A Sandu International Journal for Numerical Methods in Fluids 83 (2), 175-204, 2017 | 28 | 2017 |
Application of pod-deim approach for dimension reduction of a diffusive predator-prey system with allee effect G Dimitriu, IM Navon, R Ştefănescu International conference on large-scale scientific computing, 373-381, 2013 | 28 | 2013 |
POD-DEIM approach on dimension reduction of a multi-species host-parasitoid system G Dimitriu, R Stefanescu, IM Navon Ann. Acad. Rom. Sci. Ser. Math. Appl 7 (1), 173-188, 2015 | 27 | 2015 |
Enkf data-driven reduced order assimilation system C Liu, R Fu, D Xiao, R Stefanescu, P Sharma, C Zhu, S Sun, C Wang Engineering Analysis with Boundary Elements 139, 46-55, 2022 | 22 | 2022 |
Numerical simulations with data assimilation using an adaptive POD procedure G Dimitriu, N Apreutesei, R Ştefănescu International Conference on Large-Scale Scientific Computing, 165-172, 2009 | 22 | 2009 |
Hybrid optimization and Bayesian inference techniques for a non‐smooth radiation detection problem R Ştefănescu, K Schmidt, J Hite, RC Smith, J Mattingly International Journal for Numerical Methods in Engineering 111 (10), 955-982, 2017 | 21 | 2017 |
Numerical approximation of a free boundary problem for a predator-prey model R Ştefănescu, G Dimitriu International Conference on Numerical Analysis and Its Applications, 548-555, 2008 | 14 | 2008 |
Bayesian metropolis methods applied to sensor networks for radiation source localization JM Hite, JK Mattingly, KL Schmidt, R Ştefănescu, R Smith 2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016 | 12 | 2016 |
Numerical optimal harvesting for a periodic age-structured population dynamics with logistic term S Aniţa, V Arnăutu, R Ştefănescu Numerical Functional Analysis and Optimization 30 (3-4), 183-198, 2009 | 10 | 2009 |
Variational data assimilation: Optimization and optimal control FX Le Dimet, IM Navon, R Ştefănescu Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol …, 2017 | 9 | 2017 |
Evolutionary dynamics of cancer cell populations under immune selection pressure and optimal control of chemotherapy G Dimitriu, T Lorenzi, R Ştefănescu Mathematical Modelling of Natural Phenomena 9 (4), 88-104, 2014 | 9 | 2014 |
1D+ 4D-VAR data assimilation of lightning with WRFDA system using nonlinear observation operators R Stefanescu, IM Navon, H Fuelberg, M Marchand arXiv preprint arXiv:1306.1884, 2013 | 8 | 2013 |
Variational Assimilation of Radio Occultation Observations into Numerical Weather Prediction Models: Equations, Strategies, and Algorithms M Gorbunov, R Stefanescu, V Irisov, D Zupanski Remote Sensing 11 (24), 2886, 2019 | 7 | 2019 |
Introducere în finanţele comportamentale–Partea întâi R Dumitriu, R Stefanescu SSRN: https://papers. ssrn. com/sol3/papers. cfm, 2018 | 7 | 2018 |