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ORCIDINFORMS Journal on Optimization, Volume 4
Volume 4, Number 1, January 2022
- Editorial Board. 3-
- Bahman Naderi
, Vahid Roshanaei:
Critical-Path-Search Logic-Based Benders Decomposition Approaches for Flexible Job Shop Scheduling. 1-28 - Naveed Haghani, Claudio Contardo, Julian Yarkony:
Smooth and Flexible Dual Optimal Inequalities. 29-44 - Junyu Zhang, Lin Xiao, Shuzhong Zhang:
Adaptive Stochastic Variance Reduction for Subsampled Newton Method with Cubic Regularization. 45-64 - Xi Chen, Qihang Lin, Guanglin Xu:
Distributionally Robust Optimization with Confidence Bands for Probability Density Functions. 65-89 - Edward J. Anderson, Andy Philpott:
Improving Sample Average Approximation Using Distributional Robustness. 90-124
Volume 4, Number 2, April 2022
- Editorial Board. 3-
- Shanshan Wang, Jinlin Li, Sanjay Mehrotra:
A Solution Approach to Distributionally Robust Joint-Chance-Constrained Assignment Problems. 125-147 - Maher Nouiehed, Meisam Razaviyayn:
Learning Deep Models: Critical Points and Local Openness. 148-173 - Juan Sebastian Borrero, Oleg A. Prokopyev, Denis Sauré:
Learning in Sequential Bilevel Linear Programming. 174-199 - Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao:
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. 200-214 - Martijn H. H. Schoot Uiterkamp, Marco E. T. Gerards, Johann L. Hurink:
A Class of Convex Quadratic Nonseparable Resource Allocation Problems with Generalized Bound Constraints. 215-247
Volume 4, Number 3, July 2022
- Editorial Board. 3-
- Milad Dehghani Filabadi, Houra Mahmoudzadeh:
Effective Budget of Uncertainty for Classes of Robust Optimization. 249-277 - Vedat Bayram, Gohram Baloch, Fatma Gzara, Samir Elhedhli:
Optimal Order Batching in Warehouse Management: A Data-Driven Robust Approach. 278-303 - Niloufar Daemi, Juan Sebastian Borrero, Balabhaskar Balasundaram:
Interdicting Low-Diameter Cohesive Subgroups in Large-Scale Social Networks. 304-325 - Omid Nohadani, Kartikey Sharma:
Optimization Under Connected Uncertainty. 326-346
Volume 4, Number 4, October 2022
- Editorial Board. 3-
- Patrick Jaillet, Sanjay Dominik Jena, Tsan Sheng Adam Ng, Melvyn Sim:
Satisficing Models Under Uncertainty. 347-372 - Yuanyuan Dong, Yulan Bai, Eli V. Olinick, Andrew Junfang Yu:
The Backhaul Profit Maximization Problem: Optimization Models and Solution Procedures. 373-402 - El Houcine Bergou, Youssef Diouane, Vladimir Kunc, Vyacheslav Kungurtsev, Clément W. Royer:
A Subsampling Line-Search Method with Second-Order Results. 403-425 - Frank E. Curtis, Minhan Li:
Gradient Sampling Methods with Inexact Subproblem Solutions and Gradient Aggregation. 426-445
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