E-LIB Suche - Ergebnisse für: Subrahmanya, Amit N.

1

A stochastic covariance shrinkage approach to particle reju..:

Popov, Andrey A. ; Subrahmanya, Amit N. ; Sandu, Adrian
Nonlinear Processes in Geophysics. 29 (2022) 2 - p. 241-253 , 2022

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

2

Performance Analysis of Mesh-based NoC's on Routing Algorit..:

R, Anala M. ; Subrahmanya, Amit N. ; D'Souza, Allbright
International Journal of Electrical and Computer Engineering (IJECE). 8 (2018) 5 - p. 3368 , 2018

Link: https://doi.org/10.11591..

3

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..

4

A stochastic covariance shrinkage approach to particle reju..:

Popov, Andrey A ; Subrahmanya, Amit N ; Sandu, Adrian
doi:10.5194/npg-29-241-2022. , 2022

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

5

A stochastic covariance shrinkage approach to particle reju..:

Popov, Andrey A ; Subrahmanya, Amit N ; Sandu, Adrian
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000814091100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1. , 2022

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

6

A Stochastic Covariance Shrinkage Approach to Particle Reju..:

Popov, Andrey A ; Subrahmanya, Amit N ; Sandu, Adrian
http://arxiv.org/abs/2109.09673. , 2021

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

7

Adjoint-Matching Neural Network Surrogates for Fast 4D-Var ..:

Chennault, Austin ; Popov, Andrey A ; Subrahmanya, Amit N...
http://arxiv.org/abs/2111.08626. , 2021

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

8

Adjoint-Matching Neural Network Surrogates for Fast 4D-Var ..:

Chennault, Austin ; Popov, Andrey A ; Subrahmanya, Amit N...
http://arxiv.org/abs/2111.08626v1. , 2021

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

9

An Ensemble Variational Fokker-Planck Method for Data Assim..:

Subrahmanya, Amit N ; Popov, Andrey A ; Sandu, Adrian
http://arxiv.org/abs/2111.13926v1. , 2021

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

10

A Stochastic Covariance Shrinkage Approach to Particle Reju..:

Popov, Andrey A ; Subrahmanya, Amit N ; Sandu, Adrian
http://arxiv.org/abs/2109.09673v1. , 2021

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

11

Ensemble Variational Fokker-Planck Methods for Data Assimil..:

Subrahmanya, Amit N ; Popov, Andrey A ; Sandu, Adrian
http://arxiv.org/abs/2111.13926. , 2021

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

12

ComputationalScienceLaboratory/DATools: v0.0.1:

Andrey A Popov ; Abhinab Bhattacharjee ; Amit N Subrahmanya.
https://github.com/ComputationalScienceLaboratory/DATools/tree/v0.0.1. , 2022

Link: https://zenodo.org/recor..

13

ComputationalScienceLaboratory/ODE-Test-Problems: v0.0.1:

Andrey A Popov ; Abhinab Bhattacharjee ; Amit N Subrahmanya.
https://github.com/ComputationalScienceLaboratory/ODE-Test-Problems/tree/v0.0.1. , 2022

Link: https://zenodo.org/recor..

14

Performance Analysis of Mesh-based NoC's on Routing Algorit..:

Anala M. R ; Amit N. Subrahmanya ; Allbright D'Souza
https://zenodo.org/record/4072379. , 2018

Link: https://zenodo.org/recor..

15

De novo genome assembly and annotation of gall-forming medi..:

Hegde, Santhosh N. ; Begum, Noorunnisa ; Bhatt, Amit...
Journal of Genetics. 101 (2022) 2 - p. , 2022

Link: https://doi.org/10.1007/..