Operations research

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  Año 2024, Número 2

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    A Unifying Framework for the Capacitated Vehicle Routing Problem Under Risk and Ambiguity

    Shubhechyya Ghosal, Chin Pang Ho, Wolfram Wiesemann

    págs. 425-443

    
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    Stochastic Liquidity as a Proxy for Nonlinear Price Impact

    Johannes Muhle-Karbe, Zexin Wang, Kevin Webster

    págs. 444-458

    
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    Robust Queue Inference from Waiting Times

    Chaithanya Bandi, Eojin Han, Alexej Proskynitopoulos

    págs. 459-480

    
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    Technical Note—Dynamic Pricing and Learning with Discounting

    Zhichao Feng, Milind Dawande, Ganesh Janakiraman, Anyan Qi

    págs. 481-492

    
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    Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees

    Yongchun Li, Weijun Xie

    págs. 493-513

    
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    Data Tracking Under Competition

    Kostas Bimpikis, Ilan Morgenstern, Daniela Saban

    págs. 514-532

    
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    Testing, Voluntary Social Distancing, and the Spread of an Infection

    Daron Acemoglu , Ali Makhdoumi, Azarakhsh Malekian, Asuman Ozdaglar

    págs. 533-548

    
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    Latent Agents in Networks: Estimation and Targeting

    Baris Ata, Alexandre Belloni, Ozan Candogan

    págs. 549-569

    
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    Flattening Energy-Consumption Curves by Monthly Constrained Direct Load Control Contracts

    Ali Fattahi, Saeed Ghodsi, Sriram Dasu, Reza Ahmadi

    págs. 570-590

    
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    Technical Note—Masking Anstreicher’s linx Bound for Improved Entropy Bounds

    Zhongzhu Chen, Marcia Fampa, Jon Lee

    págs. 591-603

    
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    High-Order Steady-State Diffusion Approximations

    Anton Braverman, J.G. Dai, Xiao Fang

    págs. 604-616

    
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    Efficient Learning for Clustering and Optimizing Context-Dependent Designs

    Haidong Li, Henry Lam, Yijie Peng

    págs. 617-638

    
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    Advances in MINLP to Identify Energy-Efficient Distillation Configurations

    Radhakrishna Tumbalam Gooty, Rakesh Agrawal, Mohit Tawarmalani

    págs. 639-659

    
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    Sample and Computationally Efficient Stochastic Kriging in High Dimensions

    Liang Ding, Xiaowei Zhang

    págs. 660-683

    
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    Investment in the Common Good: Free Rider Effect and the Stability of Mixed Strategy Equilibria

    Youngsoo Kim, H. Dharma Kwon

    págs. 684-698

    
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    Reliable Off-Policy Evaluation for Reinforcement Learning

    Jie Wang, Rui Gao, Hongyuan Zha

    págs. 699-716

    
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    Lagrangian Dual Decision Rules for Multistage Stochastic Mixed-Integer Programming

    Maryam Daryalal, Merve Bodur, James R. Luedtke

    págs. 717-737

    
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    Joint Inventory and Pricing for a One-Warehouse Multistore Problem: Spiraling Phenomena, Near Optimal Policies, and the Value of Dynamic Pricing

    Murray Lei, Sheng Liu, Stefanus Jasin, Andrew Vakhutinsky

    págs. 738-762

    
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    Fast Quantum Subroutines for the Simplex Method

    Giacomo Nannicini

    págs. 763-780

    
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    Data-Driven Ranking and Selection Under Input Uncertainty

    Di Wu, Yuhao Wang, Enlu Zhou

    págs. 781-795

    
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    Black-Box Acceleration of Monotone Convex Program Solvers

    Palma London, Shai Vardi, Reza Eghbali, Adam Wierman

    págs. 796-815

    
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    Equilibrium Identification and Selection in Finite Games

    Tobias Crönert, Stefan Minner

    págs. 816-831

    
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    Optimal Investment, Heterogeneous Consumption, and Best Time for Retirement

    Hyun Jin Jang, Zuo Quan Xu, Harry Zheng

    págs. 832-847

    
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    Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization

    Vishal Gupta, Michael Huang, Paat Rusmevichientong

    págs. 848-870