Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Rao, Vishwas
118  Ergebnisse:
?
1

CAMERA: A method for cost-aware, adaptive, multifidelity, e..:

Ashwin Renganathan, S. ; Rao, Vishwas ; Navon, Ionel M.
Journal of Computational Physics.  472 (2023)  - p. 111698 , 2023
Link: https://doi.org/10.1016/..
 
?
2

Trust-Region Approximation of Extreme Trajectories in Power..:

Maldonado, Daniel Adrian ; Constantinescu, Emil Mihai ; Zhang, Hong..
IEEE Transactions on Power Systems.  37 (2022)  5 - p. 3937-3946 , 2022
Link: https://doi.org/10.1109/..
 
?
3

Order-Disorder Transitions in (CaxSr1−x)3Rh4Sn13:

Upreti, Puspa ; Krogstad, Matthew ; Haley, Charlotte...
Physical Review Letters.  128 (2022)  9 - p. , 2022
Link: https://doi.org/10.1103/..
 
?
4

Optimization under Rare Chance Constraints:

Tong, Shanyin ; Subramanyam, Anirudh ; Rao, Vishwas
SIAM Journal on Optimization.  32 (2022)  2 - p. 930-958 , 2022
Link: https://doi.org/10.1137/..
 
?
5

Efficient high-dimensional variational data assimilation wi..:

Maulik, Romit ; Rao, Vishwas ; Wang, Jiali...
Geoscientific Model Development.  15 (2022)  8 - p. 3433-3445 , 2022
Link: https://doi.org/10.5194/..
 
?
6

Frequency Recovery in Power Grids using High-Performance Co..:

, In: Workshop Proceedings of the 51st International Conference on Parallel Processing,
Rao, Vishwas ; Subramanyam, Anirudh ; Schanen, Michel... - p. 1-6 , 2022
Link: https://dl.acm.org/doi/1..
 
?
7

Learning the Evolution of Correlated Stochastic Power Syste..:

, In: 2022 IEEE Power & Energy Society General Meeting (PESGM),
Maltba, Tyler E. ; Rao, Vishwas ; Maldonado, Daniel Adrian - p. 01-05 , 2022
Link: https://doi.org/10.1109/..
 
?
8

LaplaceInterpolation.jl: A Julia package for fast interpola..:

Rao, Vishwas ; Haley, Charlotte ; Anitescu, Mihai
Journal of Open Source Software.  7 (2022)  70 - p. 3766 , 2022
Link: https://doi.org/10.21105..
 
?
9

Efficient Computation of Extreme Excursion Probabilities fo..:

Rao, Vishwas ; Anitescu, Mihai
SIAM/ASA Journal on Uncertainty Quantification.  9 (2021)  2 - p. 731-762 , 2021
Link: https://doi.org/10.1137/..
 
?
10

Machine learning based algorithms for uncertainty quantific..:

Moosavi, Azam ; Rao, Vishwas ; Sandu, Adrian
Journal of Computational Science.  50 (2021)  - p. 101295 , 2021
Link: https://doi.org/10.1016/..
 
?
11

Data-Driven Deep Learning Emulators for Geophysical Forecas..:

, In: Computational Science – ICCS 2021; Lecture Notes in Computer Science,
Sastry, Varuni Katti ; Maulik, Romit ; Rao, Vishwas... - p. 433-446 , 2021
Link: https://doi.org/10.1007/..
 
?
12

A Machine-Learning-Based Importance Sampling Method to Comp..:

, In: Lecture Notes in Computer Science; Computational Science – ICCS 2020,
Rao, Vishwas ; Maulik, Romit ; Constantinescu, Emil. - p. 169-182 , 2020
Link: https://doi.org/10.1007/..
 
?
13

Sequential Bayesian parameter estimation of stochastic dyna..:

Maldonado, Daniel Adrian ; Rao, Vishwas ; Anitescu, Mihai.
Electric Power Systems Research.  189 (2020)  - p. 106606 , 2020
Link: https://doi.org/10.1016/..
 
?
14

A Learning-Based Approach for Uncertainty Analysis in Numer..:

, In: Lecture Notes in Computer Science; Computational Science – ICCS 2019,
Moosavi, Azam ; Rao, Vishwas ; Sandu, Adrian - p. 126-140 , 2019
Link: https://doi.org/10.1007/..
 
?
15

Scalable Matrix-Free Adaptive Product-Convolution Approxima..:

Alger, Nick ; Rao, Vishwas ; Myers, Aaron..
SIAM Journal on Scientific Computing.  41 (2019)  4 - p. A2296-A2328 , 2019
Link: https://doi.org/10.1137/..
 
1-15