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Les Cahiers du GERAD

Collection de rapports techniques et de documents de travail, témoins de la vigueur et de la productivité de notre groupe.

Publications scientifiques

Répertoire de toutes les catégories de publications scientifiques de nos membres au fil des ans.

Bulletins du GERAD

Revue semestrielle de vulgarisation scientifique de la recherche effectuée par nos membre et résumé récent de nos activités.

Cahiers les plus récents

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G-2024-36 Branch-and-Price
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Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology....

G-2026-07 Optimisation and energy evaluation of batch pan scheduling in a white sugar refinery
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The Batch Pan Scheduling Problem represents a major operational challenge in white sugar refineries, where production planning must balance throughput object...

G-2026-06 IPNSDP: A solver for nonlinear semidefinite programming with automatic differentiation and chordal decomposition
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This paper introduces IPNSDP, a MATLAB solver for general Nonlinear Semidefinite Programming (NSDP) based on a second-order interior point method. Unlike lin...

G-2026-05 Microstructured surface design for ice nucleation control assisted by a hybrid Classical Nucleation Theory-Blackbox approach
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Designing icephobic surfaces to delay ice formation is crucial for applications like aviation safety and cryopreservation. While Classical Nucleation Theory ...

G-2026-04 Estimating OD matrices from social connectivity: A per-origin probabilistic attractiveness model
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Origin--destination (OD) matrices are essential for forecasting and capacity planning in transportation and communication networks, yet they are not directl...

Publications scientifiques récentes

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Artificial Intelligence Based Primary Care Artificial Intelligence and Human Cognition in General Practice and Family Medicine
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Advances in Power Consumption Model for Data Centers: Analytical Formulas vs. Machine Learning Models
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Branch-and-Price
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Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology....

article

Zeroth-order Kronecker optimization for pretraining language models
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Training language models (LMs) under tight GPU memory budgets rules out standard back-propagation and motivates zeroth-order (ZO) optimization. While ZO m...