Vishwas Rao
Título
Citado por
Citado por
Año
A posteriori error estimates for the solution of variational inverse problems
V Rao, A Sandu
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 737-761, 2015
272015
A posteriori error estimates for the solution of variational inverse problems
V Rao, A Sandu
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 737-761, 2015
272015
A-posteriori error estimates for inverse problems
V Rao, A Sandu
arXiv preprint arXiv:1409.7129, 2014
27*2014
A time-parallel approach to strong-constraint four-dimensional variational data assimilation
V Rao, A Sandu
Journal of Computational Physics 313, 583-593, 2016
252016
Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil
SA Renganathan, R Maulik, V Rao
Physics of Fluids 32 (4), 047110, 2020
202020
A Hybrid Monte‐Carlo sampling smoother for four‐dimensional data assimilation
A Attia, V Rao, A Sandu
International Journal for Numerical Methods in Fluids 83 (1), 90-112, 2017
202017
A posteriori error estimates for DDDAS inference problems
V Rao, A Sandu
Procedia Computer Science 29, 1256-1265, 2014
202014
A sampling approach for four dimensional data assimilation
A Attia, V Rao, A Sandu
International Conference on Dynamic Data-Driven Environmental Systems …, 2014
132014
Dynamic security constrained optimal power flow using finite difference sensitivities
S Abhyankar, V Rao, M Anitescu
2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014
132014
An adjoint-based scalable algorithm for time-parallel integration
V Rao, A Sandu
Journal of Computational Science 5 (2), 76-84, 2014
132014
Robust Data Assimilation Using and Huber Norms
V Rao, A Sandu, M Ng, ED Nino-Ruiz
SIAM Journal on Scientific Computing 39 (3), B548-B570, 2017
112017
Dynamic sensor network configuration in infosymbiotic systems using model singular vectors
A Sandu, A Cioaca, V Rao
Procedia Computer Science 18, 1909-1918, 2013
92013
An adjoint based implementation of the Parareal algorithm
V Rao, A Sandu
Procedia Computer Science 9, 1021-1029, 2012
52012
Scalable matrix-free adaptive product-convolution approximation for locally translation-invariant operators
N Alger, V Rao, A Myers, T Bui-Thanh, O Ghattas
SIAM Journal on Scientific Computing 41 (4), A2296-A2328, 2019
42019
Parallel solution of DDDAS variational inference problems
V Rao, A Sandu
Procedia Computer Science 51, 2474-2482, 2015
42015
A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models
A Moosavi, V Rao, A Sandu
International Conference on Computational Science, 126-140, 2019
32019
A highly scalable approach for time parallelization of long range forecasts
V Rao, A Cioaca, A Sandu
2012 SC Companion: High Performance Computing, Networking Storage and …, 2012
32012
Machine learning based algorithms for uncertainty quantification in numerical weather prediction models
A Moosavi, V Rao, A Sandu
Journal of Computational Science 50, 101295, 2021
22021
A machine-learning-based importance sampling method to compute rare event probabilities
V Rao, R Maulik, E Constantinescu, M Anitescu
International Conference on Computational Science, 169-182, 2020
22020
Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models
R Maulik, V Rao, S Madireddy, B Lusch, P Balaprakash
arXiv preprint arXiv:1909.09144, 2019
22019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20