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math.OC2026
Distributed Linear Programming on GPU Clusters at Extreme Scale
Arnaud Deza, Santanu Dey, Pascal Van Hentenryck
Large linear programs can exceed the memory of a single compute node. Although first-order methods replace sparse factorizations with GPU-suited matrix-vector products, other solve…
cs.AI2026
Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
Tinghan Ye, Arnaud Deza, Ved Mohan +2
Optimization models developed by operations research (OR) experts are often deployed as decision-support systems in industrial settings. However, real-world environments are dynami…