Data-driven sample average approximation with covariate information R Kannan, G Bayraksan, JR Luedtke arXiv preprint arXiv:2207.13554, 2022 | 59 | 2022 |
Residuals-based distributionally robust optimization with covariate information R Kannan, G Bayraksan, JR Luedtke Mathematical Programming 207 (1), 369-425, 2024 | 46 | 2024 |
Algorithms, analysis and software for the global optimization of two-stage stochastic programs R Kannan Massachusetts Institute of Technology, 2018 | 21 | 2018 |
A stochastic approximation method for approximating the efficient frontier of chance-constrained nonlinear programs R Kannan, JR Luedtke Mathematical Programming Computation 13 (4), 705-751, 2021 | 20 | 2021 |
Stochastic DC optimal power flow with reserve saturation R Kannan, JR Luedtke, LA Roald Electric Power Systems Research 189, 106566, 2020 | 18 | 2020 |
The cluster problem in constrained global optimization R Kannan, PI Barton Journal of Global Optimization, 1-48, 2017 | 16 | 2017 |
Heteroscedasticity-aware residuals-based contextual stochastic optimization R Kannan, G Bayraksan, J Luedtke arXiv preprint arXiv:2101.03139, 2021 | 13 | 2021 |
Convergence-order analysis of branch-and-bound algorithms for constrained problems R Kannan, PI Barton Journal of Global Optimization 71, 753-813, 2018 | 13 | 2018 |
Correntropy-based partial directed coherence for testing multivariate Granger causality in nonlinear processes R Kannan, AK Tangirala Physical Review E 89 (6), 062144, 2014 | 12 | 2014 |
Optimization under uncertainty of a hybrid waste tire and natural gas feedstock flexible polygeneration system using a decomposition algorithm ASR Subramanian, R Kannan, F Holtorf, TA Adams II, T Gundersen, ... Energy 284, 129222, 2023 | 3 | 2023 |
Learning to accelerate the global optimization of quadratically-constrained quadratic programs R Kannan, H Nagarajan, D Deka arXiv preprint arXiv:2301.00306, 2022 | 3* | 2022 |
Design of PID controllers using semi-infinite programming EM Turan, R Kannan, J Jäschke Computer Aided Chemical Engineering, 2022 | 2 | 2022 |
Optimality-Based Discretization Methods for the Global Optimization of Nonconvex Semi-Infinite Programs EM Turan, J Jäschke, R Kannan arXiv preprint arXiv:2303.00219, 2023 | | 2023 |
A software framework for the global optimization of nonconvex two-stage stochastic programs R Kannan, P Barton Oral Presentation at AIChE Annual Meeting, Salt Lake City, UT (November 2015), 2015 | | 2015 |