On the Approximate Linear Programming Approach for Network Revenue Management Problems
Published Online:22 Jul 2013https://doi.org/10.1287/ijoc.2013.0551
References
- (2007) Dynamic bid prices in revenue management. Oper. Res. 55:647–661.Link, Google Scholar
- (2007) An approximate dynamic programming approach to network revenue management. Technical report, Department of Electrical Engineering, Stanford University, Stanford, CA.Google Scholar
- (2010) Computing time-dependent bid prices in network revenue management problems. Transportation Sci. 44:38–62.Link, Google Scholar
- (2012) Network revenue management with inventory-sensitive bid prices and customer choice. Eur. J. Oper. Res. 216:459–468.Crossref, Google Scholar
- (1994) Markov Decision Processes (John Wiley & Sons, New York).Crossref, Google Scholar
- (2006) Nonlinear Optimization (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
- (1989) Using network flow techniques to find shadow prices for market and seat inventory control. Technical report, Massachusetts Institute of Technology Flight Transportation Laboratory Memorandum M89-1, Cambridge.Google Scholar
- (1998) An analysis of bid-price controls for network revenue management. Management Sci. 44:1577–1593.Link, Google Scholar
- (1999) A randomized linear programming method for computing network bid prices. Transportation Sci. 33:207–216.Link, Google Scholar
- (2009) Using Lagrangian relaxation to compute capacity-dependent bid prices in network revenue management. Oper. Res. 57:637–649.Link, Google Scholar
- (1997) Linear Programming: Foundations and Extensions (Kluwer's International Series, Boston).Google Scholar
- (2012) A dynamic disaggregation approach to approximate linear programs for network revenue management. Technical report, University of Colorado at Boulder, Boulder.Google Scholar
- (1992) Airline network seat control. Unpublished doctoral dissertation, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge.Google Scholar
- (2009) An approximate dynamic programming approach to network revenue management with customer choice. Transportation Sci. 42:381–394.Link, Google Scholar

