Selvaprabu Nadarajah
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Comparison of least squares Monte Carlo methods with applications to energy real options
S Nadarajah, F Margot, N Secomandi
European Journal of Operational Research 256 (1), 196-204, 2017
Relaxations of approximate linear programs for the real option management of commodity storage
S Nadarajah, F Margot, N Secomandi
Management Science 61 (12), 3054-3076, 2015
Less-than-truckload carrier collaboration problem: modeling framework and solution approach
S Nadarajah, JH Bookbinder
Journal of heuristics 19 (6), 917-942, 2013
A level-set method for convex optimization with a feasible solution path
Q Lin, S Nadarajah, N Soheili
URL: http://www. optimization-online. org/DB_HTML/2017/10/6274. html, 2017
Collaborative logistics in vehicle routing
S Nadarajah
University of Waterloo, 2008
Relationship between least squares Monte Carlo and approximate linear programming
S Nadarajah, N Secomandi
Operations Research Letters 45 (5), 409-414, 2017
Revisiting approximate linear programming: Constraint-violation learning with applications to inventory control and energy storage
Q Lin, S Nadarajah, N Soheili
Management Science 66 (4), 1544-1562, 2019
Merchant energy trading in a network
S Nadarajah, N Secomandi
Operations Research 66 (5), 1304-1320, 2018
Dynamic pricing for hotel rooms when customers request multiple-day stays
S Nadarajah, YF Lim, Q Ding
Available at SSRN 2639188, 2015
Managing shutdown decisions in merchant commodity and energy production: A social commerce perspective
A Trivella, S Nadarajah, SE Fleten, D Mazieres, D Pisinger
Manufacturing and Service Operations Management, 2019
Approximate dynamic programming for commodity and energy merchant operations
S Nadarajah
Enhancing transportation efficiencies through carrier collaboration
S Nadarajah, JH Bookbinder
The 2007 BPC World Conference Proceedings, 2007
Real option management of hydrocarbon cracking operations
S Nadarajah, N Secomandi, G Sowers, JM Wassick
Real options in energy and commodity markets, 173-202, 2017
A data efficient and feasible level set method for stochastic convex optimization with expectation constraints
Q Lin, S Nadarajah, N Soheili, T Yang
Journal of machine learning research, 2020
Meeting corporate renewable power targets
D Mohseni Taheri, S Nadarajah, A Trivella
SSRN, 3294724, 2019
Least squares Monte Carlo and approximate linear programming: Error bounds and energy real option application
S Nadarajah, N Secomandi
Available at SSRN 3232687, 2018
Network-Based Approximate Linear Programming for Discrete Optimization
S Nadarajah, AA Cire
Operations Research, 2019
Structured data-driven operating policies for commodity storage
C Mandl, S Nadarajah, S Minner, S Gavirneni
Available at SSRN 3398119, 2019
First-Order Methods for Convex Constrained Optimization under Error Bound Conditions with Unknown Growth Parameters
Q Lin, R Ma, S Nadarajah, N Soheili
arXiv preprint arXiv:2010.15267, 2020
Pathwise Optimization for Merchant Energy Production
B Yang, S Nadarajah, N Secomandi
Available at SSRN 3510676, 2019
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