S Lakshmivarahan

Affiliations: 
School of Computer Science University of Oklahoma, Norman, OK, United States 
Area:
Computer Science, Mathematics, Atmospheric Sciences
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"S Lakshmivarahan"
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Publications

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Trafalis TB, Adrianto I, Richman MB, et al. (2014) Machine-learning classifiers for imbalanced tornado data Computational Management Science. 11: 403-418
Lakshmivarahan S, Lewis JM, Phan D. (2013) Data assimilation as a problem in optimal tracking: Application of pontryagin's minimum principle to atmospheric science Journal of the Atmospheric Sciences. 70: 1257-1277
Lewis JM, Lakshmivarahan S. (2013) A question of adequacy of observations in variational data assimilation Data Assimilation For Atmospheric, Oceanic and Hydrologic Applications (Vol. Ii). 111-124
Lakshmivarahan S, Lewis JM. (2013) Nudging methods: A critical overview Data Assimilation For Atmospheric, Oceanic and Hydrologic Applications (Vol. Ii). 27-57
Cremeans B, Lakshmivarahan S, Dhall SK. (2012) An approximation algorithm for computing a tipping set in super modular games for interdependent security Procedia Computer Science. 12: 404-411
Gao C, Wang H, Weng E, et al. (2011) Assimilation of multiple data sets with the ensemble Kalman filter to improve forecasts of forest carbon dynamics. Ecological Applications : a Publication of the Ecological Society of America. 21: 1461-73
Lakshmivarahan S, Stensrud DJ. (2009) Ensemble Kalman filter Ieee Control Systems Magazine. 29: 34-46
Dhall SK, Lakshmivarahan S, Verma P. (2009) On the number and the distribution of the nash equilibria in supermodular games and their impact on the tipping set Proceedings of the 2009 International Conference On Game Theory For Networks, Gamenets '09. 691-696
Wang Y, Lakshmivarahan S. (2009) On the relation between energy conserving low-order models and Hamiltonian systems Nonlinear Analysis, Theory, Methods and Applications. 71
Lewis JM, Lakshmivarahan S. (2008) Sasaki's pivotal contribution: Calculus of variations applied to weather map analysis Monthly Weather Review. 136: 3553-3567
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