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ORCIDINFORMS Journal on Optimization, Volume 5
Volume 5, Number 1, January 2023
- Editorial Board. 2-
- Steffen Borgwardt
, Felix Happach, Stetson Zirkelbach:
An Algorithm for the Separation-Preserving Transition of Clusterings. 1-26 - Dabeen Lee, Milan Vojnovic, Se-Young Yun:
Test Score Algorithms for Budgeted Stochastic Utility Maximization. 27-67 - Wei Liu, Li Yang, Bo Yu:
Distributionally Robust Optimization Based on Kernel Density Estimation and Mean-Entropic Value-at-Risk. 68-91 - Kim Allan Andersen, Trine Krogh Boomsma, Lars Relund Nielsen:
MILP Sensitivity Analysis for the Objective Function Coefficients. 92-109 - Dimitris Bertsimas, Nathan Kallus:
The Power and Limits of Predictive Approaches to Observational Data-Driven Optimization: The Case of Pricing. 110-129
Volume 5, Number 2, April 2023
- Editorial Board. 2-
- Frederic Matter, Marc E. Pfetsch:
Presolving for Mixed-Integer Semidefinite Optimization. 131-154 - Dimitris Bertsimas, Omar Skali Lami:
Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems. 155-171 - Andrew Mastin, Arden Baxter, Amelia Musselman, Jean-Paul Watson:
Best Response Intersection: An Optimal Algorithm for Interdiction Defense. 172-190 - Mouad Morabit, Guy Desaulniers, Andrea Lodi:
Machine-Learning-Based Arc Selection for Constrained Shortest Path Problems in Column Generation. 191-210 - Nam Ho-Nguyen, Fatma Kilinç-Karzan, Simge Küçükyavuz, Dabeen Lee:
Strong Formulations for Distributionally Robust Chance-Constrained Programs with Left-Hand Side Uncertainty Under Wasserstein Ambiguity. 211-232
Volume 5, Number 3, July 2023
- Editorial Board. 2-
- Ian G. Ludden, Rahul Swamy, Douglas M. King, Sheldon H. Jacobson:
A Bisection Protocol for Political Redistricting. 233-255 - Anthony Nguyen, Krishnakumar Balasubramanian:
Stochastic Zeroth-Order Functional Constrained Optimization: Oracle Complexity and Applications. 256-272 - Nicolas Busch, Tobias Crönert, Stefan Minner, Moritz Rettinger, Burakhan Sel:
Deep Learning for Commodity Procurement: Nonlinear Data-Driven Optimization of Hedging Decisions. 273-294 - Alexander S. Estes, Jean-Philippe P. Richard:
Smart Predict-then-Optimize for Two-Stage Linear Programs with Side Information. 295-320
Volume 5, Number 4, October 2023
- Editorial Board. 2-
- Kaizhao Sun, Xu Andy Sun:
Algorithms for Difference-of-Convex Programs Based on Difference-of-Moreau-Envelopes Smoothing. 321-339 - Mengmeng Song, Yong Xia, Hongying Liu:
Local Optimality Conditions for a Family of Hidden Convex Optimization. 340-355 - Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi:
Geometric Analysis of Noisy Low-Rank Matrix Recovery in the Exact Parametrized and the Overparametrized Regimes. 356-375 - Kevin-Martin Aigner, Andreas Bärmann, Kristin Braun, Frauke Liers, Sebastian Pokutta, Oskar Schneider, Kartikey Sharma, Sebastian Tschuppik:
Data-Driven Distributionally Robust Optimization over Time. 376-394
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