E-LIB Suche - Ergebnisse für: Rao, Vishwas

1

Randomized Preconditioned Solvers for Strong Constraint 4D-..:

Subrahmanya, Amit N ; Rao, Vishwas ; Saibaba, Arvind K
http://arxiv.org/abs/2401.15758. , 2024

Link: http://arxiv.org/abs/240..

2

Credible Intervals for Probability of Failure with Gaussian..:

Sorokin, Aleksei G ; Rao, Vishwas
http://arxiv.org/abs/2311.07733. , 2023

Link: http://arxiv.org/abs/231..

3

CAMERA: A Method for Cost-aware, Adaptive, Multifidelity, E..:

Renganathan, S. Ashwin ; Rao, Vishwas ; Navon, Ionel M
http://arxiv.org/abs/2203.01436. , 2022

Link: http://arxiv.org/abs/220..

4

Efficient high-dimensional variational data assimilation wi..:

Maulik, Romit ; Rao, Vishwas ; Wang, Jiali...
Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603. , 2022

Link: https://doi.org/10.5194/..

5

Efficient high-dimensional variational data assimilation wi..:

Maulik, Romit ; Rao, Vishwas ; Wang, Jiali...
doi:10.5194/gmd-15-3433-2022. , 2022

Link: https://doi.org/10.5194/..

6

Learning the Evolution of Correlated Stochastic Power Syste..:

Maltba, Tyler E ; Rao, Vishwas ; Maldonado, Daniel Adrian
http://arxiv.org/abs/2207.13310. , 2022

Link: http://arxiv.org/abs/220..

7

Order-Disorder Transitions in (Ca$_x$Sr$_{1-x}$)$_3$Rh$_4$S..:

Upreti, Puspa ; Krogstad, Matthew ; Haley, Charlotte...
http://arxiv.org/abs/2205.02305. , 2022

Link: http://arxiv.org/abs/220..

8

Efficient high-dimensional variational data assimilation wi..:

Maulik, Romit ; Rao, Vishwas ; Wang, Jiali...
http://arxiv.org/abs/2112.07856. , 2021

Link: http://arxiv.org/abs/211..

9

Machine learning based algorithms for uncertainty quantific..:

Moosavi, Azam ; Rao, Vishwas ; Sandu, Adrian
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000697573900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1. , 2021

Link: http://hdl.handle.net/10..

10

Trust-region approximation of extreme trajectories in power..:

Maldonado, Daniel Adrian ; Constantinescu, Emil ; Zhang, Hong..
http://arxiv.org/abs/2106.16132. , 2021

Link: http://arxiv.org/abs/210..

11

Efficient computation of extreme excursion probabilities fo..:

Rao, Vishwas ; Anitescu, Mihai
http://arxiv.org/abs/2001.11904. , 2020

Link: http://arxiv.org/abs/200..

12

Optimization under rare chance constraints:

Tong, Shanyin ; Subramanyam, Anirudh ; Rao, Vishwas
http://arxiv.org/abs/2011.06052. , 2020

Link: http://arxiv.org/abs/201..

13

Sequential Bayesian Parameter Estimation of Stochastic Dyna..:

Maldonado, Daniel Adrian ; Rao, Vishwas ; Anitescu, Mihai.
http://arxiv.org/abs/2004.13964. , 2020

Link: http://arxiv.org/abs/200..

14

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

Rao, Vishwas ; Maulik, Romit ; Constantinescu, Emil.
http://arxiv.org/abs/2006.03466. , 2020

Link: http://arxiv.org/abs/200..

15

Using recurrent neural networks for nonlinear component com..:

Maulik, Romit ; Rao, Vishwas ; Madireddy, Sandeep..
http://arxiv.org/abs/1909.09144. , 2019

Link: http://arxiv.org/abs/190..