Stochastic decomposition applied to large-scale hydro valleys management. - Pierre Carpentier; Jean-Philippe Chancelier; Vincent Leclère; François Pacaud (Eur. J. Oper. Res., 2018)

Mixed Spatial and Temporal Decompositions for Large-Scale Multistage Stochastic Optimization Problems. - Pierre Carpentier; Jean-Philippe Chancelier; Michel De Lara; François Pacaud (J. Optim. Theory Appl., 2020)

Exact Converging Bounds for Stochastic Dual Dynamic Programming via Fenchel Duality. - Vincent Leclère; Pierre Carpentier; Jean-Philippe Chancelier; Arnaud Lenoir; François Pacaud (SIAM J. Optim., 2020)

Domain Decomposition Preconditioners for Unstructured Network Problems in Parallel Vector Architectures. - Daniel Adrian Maldonado; Michel Schanen; François Pacaud; Mihai Anitescu (ICPP Workshops, 2021)

Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition. - Youngdae Kim; François Pacaud; Kibaek Kim; Mihai Anitescu (CoRR, 2021)

Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. - François Pacaud; Michel Schanen; Daniel Adrian Maldonado; Alexis Montoison; Valentin Churavy; Julian Samaroo; Mihai Anitescu (PP, 2022)

Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems*. - David L. Cole; Sungho Shin; François Pacaud; Victor M. Zavala; Mihai Anitescu (ACC, 2023)

Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties*. - Sungho Shin; François Pacaud; Emil Contantinescu; Mihai Anitescu (ACC, 2023)

Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods. - Sungho Shin; François Pacaud; Mihai Anitescu (CoRR, 2023)

GPU-accelerated dynamic nonlinear optimization with ExaModels and MadNLP. - François Pacaud; Sungho Shin (CDC, 2024)

Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures. - François Pacaud; Michel Schanen; Sungho Shin; Daniel Adrian Maldonado; Mihai Anitescu (Optim. Methods Softw., 2024)

Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures. - François Pacaud; Sungho Shin; Michel Schanen; Daniel Adrian Maldonado; Mihai Anitescu (J. Optim. Theory Appl., 2024)

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks. - Alexander Engelmann; Sungho Shin; François Pacaud; Victor M. Zavala (IEEE Trans. Control. Netw. Syst., 2025)