Publications

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Journal Articles

Approximate dynamic programming for ambulance redeployment pdf
M.S. Maxwell, M. Restrepo, S.G. Henderson & H. Topaloglu, INFORMS Journal on Computing, forthcoming.

A stochastic approximation method with max-norm projections and its applications to the Q-Learning algorithm pdf
S. Kunnumkal & H. Topaloglu, The ACM Transactions on Modeling and Computer Simulation, forthcoming.

A stochastic approximation method for the single-leg revenue management problem with discrete demand distributions pdf
S. Kunnumkal & H. Topaloglu, Mathematical Methods of Operations Research, forthcoming. (The original publication is available at www.springerlink.com.)

A tighter variant of Jensen's lower bound for stochastic programs and separable approximations to recourse functions pdf
H. Topaloglu, European Journal of Operational Research, forthcoming.

Computing protection level policies for dynamic capacity allocation problems by using stochastic approximation methods pdf
A. Erdelyi & H. Topaloglu, IIE Transactions, forthcoming.

Erlang loss models for the static deployment of ambulances pdf
M. Restrepo, S.G. Henderson & H. Topaloglu, Health Care Management Science, forthcoming.

Using Lagrangian relaxation to compute capacity-dependent bid prices in network revenue management pdf
H. Topaloglu, Operations Research, forthcoming.

On the asymptotic optimality of the randomized linear program for network revenue management pdf
H. Topaloglu, European Journal of Operational Research, Special Issue on Pricing and Revenue Management, forthcoming.

Separable approximations for joint capacity control and overbooking decisions in network revenue management pdf
A. Erdelyi & H. Topaloglu, Journal of Revenue and Pricing Management, 8, 3-20, 2009.

A duality-based relaxation and decomposition approach for inventory distribution systems pdf
S. Kunnumkal & H. Topaloglu, Naval Research Logistics, 55, 612-631, 2008.

A refined deterministic linear program for the network revenue management problem with customer choice behavior pdf
S. Kunnumkal & H. Topaloglu, Naval Research Logistics, 55, 563-580, 2008.

A stochastic approximation method to compute bid prices in network revenue management problems pdf
H. Topaloglu, INFORMS Journal on Computing, 20, 596-610, 2008.

Using stochastic approximation methods to compute optimal base-stock levels in inventory inventory control problems pdf
S. Kunnumkal & H. Topaloglu, Operations Research, 56, 646-664, 2008.

Exploiting the structural properties of the underlying Markov decision problem in Q-learning algorithm pdf
S. Kunnumkal & H. Topaloglu, INFORMS Journal on Computing, 20, 288-301, 2008.

Price discounts in exchange for reduced customer demand variability and applications to advance demand information acquisition pdf
S. Kunnumkal & H. Topaloglu, International Journal of Production Economics, 111, 543-561, 2008.

Incorporating pricing decisions into the stochastic dynamic fleet management problem pdf
H. Topaloglu & W.B. Powell, Transportation Science, 41, 281-301, 2007.

Incorporating the pricing decisions into dynamic fleet management models pdf
G.J. King & H. Topaloglu, Journal of the Operational Research Society, 58, 1064-1074, 2007.

Sensitivity analysis of a dynamic fleet management model using approximate dynamic programming pdf
H. Topaloglu & W.B. Powell, Operations Research, 55, 319-331, 2007.

Approximate dynamic programming methods for an inventory allocation problem under uncertainty pdf
H. Topaloglu & S. Kunnumkal, Naval Research Logistics, 53, 822-841, 2006.

A parallelizable dynamic fleet management model with random travel times pdf
H. Topaloglu, European Journal of Operational Research, 175, 782-805, 2006.

Dynamic programming approximations for stochastic, time-staged integer multicommodity flow problems pdf
H. Topaloglu & W.B. Powell, INFORMS Journal on Computing, 18, 31-42, 2006.

An approximate dynamic programming approach for a product distribution problem pdf
H. Topaloglu, IIE Transactions, 37, 697-710, 2005.

A distributed decision making structure for dynamic resource allocation using nonlinear functional approximations pdf
H. Topaloglu & W.B. Powell, Operations Research, 53, 281-297, 2005.

Learning algorithms for separable approximations of discrete stochastic optimization problems pdf
W.B. Powell, A. Ruszczynski & H. Topaloglu, Mathematics of Operations Research, 29, 814-836, 2004.

An algorithm for approximating piecewise linear concave functions from sample gradients pdf
H. Topaloglu & W.B. Powell, Operations Research Letters, 31, 66-76, 2003.

Book Chapters

A parallelizable and approximate dynamic programming-based dynamic fleet management model with random travel times and multiple vehicle types pdf
H. Topaloglu, in Dynamic Fleet Management: Concepts, Systems, Algorithms and Case Studies, V.S. Zeimpekis, G.M. Giaglis, C.D. Tarantilis & I. Minis, eds., forthcoming.

Approximate dynamic programming for large-scale resource allocation problems pdf draft long version
W.B. Powell & H. Topaloglu, in TutORials in Operations Research, M.P. Johnson, B. Norman & N. Secomandi, eds., 2006.

Fleet management pdf
W.B. Powell & H. Topaloglu, in Applications of Stochastic Programming, Math Programming Society – SIAM Series in Optimization, S. Wallace & W. Ziemba, eds., 2005.

Stochastic programming in transportation and logistics pdf
W.B. Powell & H. Topaloglu, in Handbooks in Operations Research and Management Science,  volume on Stochastic Programming, A. Shapiro & A. Ruszczynski, eds., 2003.

Work-in-Progress

Computing time-dependent bid-prices in network revenue management problems pdf
H. Topaloglu & S. Kunnumkal.

A new dynamic programming decomposition method for the network revenue management problem with customer choice behavior pdf
S. Kunnumkal & H. Topaloglu.

Cargo capacity management with allotments and spot market demand pdf
Y. Levin, M. Nediak & H. Topaloglu.

A dynamic programming decomposition method for making overbooking decisions over an airline network pdf
A. Erdelyi & H. Topaloglu.

Linear programming based decomposition methods for inventory distribution systems pdf
S. Kunnumkal & H. Topaloglu.

A tractable revenue management model for capacity allocation and overbooking over an airline network pdf
S. Kunnumkal & H. Topaloglu.

A stochastic approximation algorithm to compute bid prices for joint capacity allocation and overbooking over an airline network pdf
S. Kunnumkal & H. Topaloglu.