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Guzin Bayraksan

Affiliations: 
Applied Mathematics University of Arizona, Tucson, AZ 
Area:
Operations Research, Applied Mathematics
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"Guzin Bayraksan"
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Children

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Brian D. Keller grad student 2009 University of Arizona
Binyuan Chen grad student 2011 University of Arizona
Peguy Pierre-Louis grad student 2012 University of Arizona
Zhihong Zhou grad student 2012 University of Arizona
Rebecca Stockbridge grad student 2013 University of Arizona
Weini Zhang grad student 2013 University of Arizona

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Publications

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Rahimian H, Bayraksan G, Homem-de-Mello T. (2019) Controlling risk and demand ambiguity in newsvendor models European Journal of Operational Research. 279: 854-868
Rahimian H, Bayraksan G, Homem-de-Mello T. (2019) Identifying effective scenarios in distributionally robust stochastic programs with total variation distance Mathematical Programming. 173: 393-430
Bayraksan G. (2018) An improved averaged two-replication procedure with Latin hypercube sampling Operations Research Letters. 46: 173-178
Zhang W, Rahimian H, Bayraksan G. (2016) Decomposition Algorithms for Risk-Averse Multistage Stochastic Programs with Application to Water Allocation under Uncertainty Informs Journal On Computing. 28: 385-404
Stockbridge R, Bayraksan G. (2016) Variance reduction in Monte Carlo sampling-based optimality gap estimators for two-stage stochastic linear programming Computational Optimization and Applications. 64: 407-431
Love D, Bayraksan G. (2015) Overlapping batches for the assessment of solution quality in stochastic programs Acm Transactions On Modeling and Computer Simulation. 25
Lan F, Bayraksan G, Lansey K. (2015) Reformulation linearization technique based branch-and-reduce approach applied to regional water supply system planning Engineering Optimization
Homem-De-Mello T, Bayraksan G. (2015) Stochastic constraints and variance reduction techniques International Series in Operations Research and Management Science. 216: 245-276
Homem-de-Mello T, Bayraksan G. (2014) Monte Carlo sampling-based methods for stochastic optimization Surveys in Operations Research and Management Science. 19: 56-85
Kucuksari S, Khaleghi AM, Hamidi M, et al. (2014) An Integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environments Applied Energy. 113: 1601-1613
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