A tractable revenue management model for capacity allocation and overbooking over an airline network
pdf
S. Kunnumkal & H. Topaloglu, Flexible Services and Manufacturing Journal, forthcoming.
A new dynamic programming decomposition method for the network revenue management problem with customer choice behavior
pdf
S. Kunnumkal & H. Topaloglu, Production and Operations Management, forthcoming.
A dynamic programming decomposition method for making overbooking decisions over an airline network
pdf
A. Erdelyi & H. Topaloglu, INFORMS Journal on Computing, forthcoming.
Computing time-dependent bid-prices in network revenue management problems
pdftechnical report
H. Topaloglu & S. Kunnumkal, Transportation Science, forthcoming.
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.)
Using Lagrangian relaxation to compute capacity-dependent bid prices
in network revenue management
pdf
H. Topaloglu, Operations Research, 57, 637-649, 2009.
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, 199, 315-322, 2009.
Erlang loss models for the static deployment of ambulances
pdf
M. Restrepo, S.G. Henderson & H. Topaloglu, Health Care Management Science, 12, 67-79, 2009.
Computing protection level policies for dynamic capacity allocation problems by using stochastic approximation methods
pdf
A. Erdelyi & H. Topaloglu, IIE Transactions, 41, 498-510, 2009.
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, 197, 884-896, 2009.
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
pdfdraft 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
Cargo capacity management with allotments and spot market demand
pdf
Y. Levin, M. Nediak & H. Topaloglu.
Linear programming based decomposition methods for inventory distribution systems
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.
Technical note: Robust logit assortments
pdf
P. Rusmevichientong & H. Topaloglu.
A stochastic approximation algorithm for making pricing decisions in network revenue management problems
pdf
S. Kunnumkal & H. Topaloglu.
Using decomposition methods to solve pricing problems in network revenue management
pdf
A. Erdelyi & H. Topaloglu.
Approximate dynamic programming for dynamic capacity allocation
pdf
A. Erdelyi & H. Topaloglu.