Operations research
Año 2021, Número 3
Gregory DeCroix, Xiaoyang Long, Jordan Tong
págs. 683-708
The Constrained Reliable Shortest Path Problem in Stochastic Time-Dependent Networks
Matthias Ruß, Gunther Gust, Dirk Neumann
págs. 709-726
Soft OR and Practice: The Contribution of the Founders of Operations Research
Robert G. Dyson, Frances A. O'Brien, Devan B. Shah
págs. 727-738
Branch-Cut-and-Price for the Robust Capacitated Vehicle Routing Problem with Knapsack Uncertainty
Artur Alves Pessoa, Michael Poss, Ruslan Sadykov, François Vanderbeck
págs. 739-754
Risk Management for Sustainable Sovereign Debt Financing
Stavros A. Zenios, Andrea Consiglio, Marialena Athanasopoulou, Edmund Moshammer, Angel Gavilán, Aitor Erce-Domínguez
págs. 755-773
OR Practice–Data Analytics for Optimal Detection of Metastatic Prostate Cancer
Selin Merdan, Christine L. Barnett, Brian T. Denton, James E. Montie, David C. Miller
págs. 774-794
Procurement Mechanisms for Assortments of Differentiated Products
Daniela Saban, Gabriel Y. Weintraub
págs. 795-820
Online Allocation and Pricing: Constant Regret via Bellman Inequalities
Alberto Vera, Siddhartha Banerjee, Itai Gurvich
págs. 821-840
Heteroscedastic Exponomial Choice
Aydin Alptekinoglu, John H. Semple
págs. 841-858
Budget-Management Strategies in Repeated Auctions
Santiago Balseiro, Anthony Kim, Mohammad Mahdian, Vahab Mirrokni
págs. 859-876
Points Gained in Football: Using Markov Process-Based Value Functions to Assess Team Performance
Timothy C.Y. Chan, Craig Fernandes, Martin L. Puterman
págs. 877-894
Online Resource Allocation Under Partially Predictable Demand
Dawsen Hwang, Patrick Jaillet, Vahideh Manshadi
págs. 895-915
Optimal Contract for Machine Repair and Maintenance
Feng Tian, Peng Sun, Izak Duenyas
págs. 916-949
A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation
Jalaj Bhandari, Daniel Russo, Raghav Singal
págs. 950-973
Nonparametric Pricing Analytics with Customer Covariates
Ningyuan Chen, Guillermo Gallego
págs. 974-984
Sample Out-of-Sample Inference Based on Wasserstein Distance
Jose Blanchet, Yang Kang
págs. 985-1013
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