E-LIB Suche - Ergebnisse für: Kannan, Rohit

1

Optimization under uncertainty of a hybrid waste tire and n..:

Subramanian, Avinash S.R. ; Kannan, Rohit ; Holtorf, Flemming...
Energy. 284 (2023) - p. 129222 , 2023

Link: https://doi.org/10.1016/..

2

ANN modelling of additively manufactured carbon fibre integ..:

Joy, Ranjit ; Jude Kuzhivelil, John ; Kannan, Rohit..
Materials Today: Proceedings. 72 (2023) - p. 3137-3143 , 2023

Link: https://doi.org/10.1016/..

3

Prevention of Reversal Blood Flow Phenomenon into Intraveno..:

, In: Lecture Notes in Mechanical Engineering; Advances in Functional and Smart Materials,

Rathanasamy, Rajasekar ; Baskar, Yogeswaran ; Ravichandran, Vinith.. - p. 391-401 , 2022

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

4

A stochastic approximation method for approximating the eff..:

Kannan, Rohit ; Luedtke, James R.
Mathematical Programming Computation. 13 (2021) 4 - p. 705-751 , 2021

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

5

Stochastic DC optimal power flow with reserve saturation:

Kannan, Rohit ; Luedtke, James R. ; Roald, Line A.
Electric Power Systems Research. 189 (2020) - p. 106566 , 2020

Link: https://doi.org/10.1016/..

6

Convergence-order analysis of branch-and-bound algorithms f..:

Kannan, Rohit ; Barton, Paul I.
Journal of Global Optimization. 71 (2017) 4 - p. 753-813 , 2017

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

7

The cluster problem in constrained global optimization:

Kannan, Rohit ; Barton, Paul I.
Journal of Global Optimization. 69 (2017) 3 - p. 629-676 , 2017

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

8

Correntropy-based partial directed coherence for testing mu..:

Kannan, Rohit ; Tangirala, Arun K.
Physical Review E. 89 (2014) 6 - p. , 2014

Link: https://doi.org/10.1103/..

9

Optimality-Based Discretization Methods for the Global Opti..:

Turan, Evren M ; Jäschke, Johannes ; Kannan, Rohit
http://arxiv.org/abs/2303.00219. , 2023

Link: http://arxiv.org/abs/230..

10

Learning to Accelerate the Global Optimization of Quadratic..:

Kannan, Rohit ; Nagarajan, Harsha ; Deka, Deepjyoti
http://arxiv.org/abs/2301.00306. , 2022

Link: http://arxiv.org/abs/230..

11

Data-Driven Sample Average Approximation with Covariate Inf..:

Kannan, Rohit ; Bayraksan, Güzin ; Luedtke, James R
http://arxiv.org/abs/2207.13554. , 2022

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

12

Heteroscedasticity-aware residuals-based contextual stochas..:

Kannan, Rohit ; Bayraksan, Güzin ; Luedtke, James
http://arxiv.org/abs/2101.03139. , 2021

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

13

Residuals-based distributionally robust optimization with c..:

Kannan, Rohit ; Bayraksan, Güzin ; Luedtke, James R
http://arxiv.org/abs/2012.01088. , 2020

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

14

Stochastic DC Optimal Power Flow With Reserve Saturation:

Kannan, Rohit ; Luedtke, James R ; Roald, Line A
http://arxiv.org/abs/1910.04667. , 2019

Link: http://arxiv.org/abs/191..

15

A stochastic approximation method for approximating the eff..:

Kannan, Rohit ; Luedtke, James
http://arxiv.org/abs/1812.07066. , 2018

Link: http://arxiv.org/abs/181..