François Pacaud

19 papers C 2Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimal operation and valuation of electricity storage systems in intraday markets.
Comput. Manag. Sci.
Jean-Philippe Chancelier, Michel De Lara, Tanguy Lindegaard, François Pacaud, Teemu Pennanen, Ari-Pekka Perkkiö
2025 J jnl
A General and Streamlined Differentiable Optimization Framework.
CoRR
Andrew W. Rosemberg, Joaquim Dias Garcia, François Pacaud, Robert B. Parker, Benoît Legat, Kaarthik Sundar, Russell Bent, Pascal Van Hentenryck
2025 J jnl
ExaModelsPower.jl: A GPU-Compatible Modeling Library for Nonlinear Power System Optimization.
CoRR
Sanjay Johnson, Dirk Lauinger, Sungho Shin, François Pacaud
2025 J jnl
Leveraging GPU Batching for Scalable Nonlinear Programming through Massive Lagrangian Decomposition.
SIAM J. Sci. Comput.
Youngdae Kim, François Pacaud, Michel Schanen, Kibaek Kim, Mihai Anitescu
2025 J jnl
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks.
IEEE Trans. Control. Netw. Syst.
Alexander Engelmann, Sungho Shin, François Pacaud, Victor M. Zavala
2024 J jnl
Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures.
J. Optim. Theory Appl.
François Pacaud, Sungho Shin, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu
2024 — conf
GPU-accelerated dynamic nonlinear optimization with ExaModels and MadNLP.
CDC
François Pacaud, Sungho Shin
2024 J jnl
Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures.
Optim. Methods Softw.
François Pacaud, Michel Schanen, Sungho Shin, Daniel Adrian Maldonado, Mihai Anitescu
2023 J jnl
Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods.
CoRR
Sungho Shin, François Pacaud, Mihai Anitescu
2023 C conf
Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties
ACC
Sungho Shin, François Pacaud, Emil Contantinescu, Mihai Anitescu
2023 C conf
Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems
ACC
David L. Cole, Sungho Shin, François Pacaud, Victor M. Zavala, Mihai Anitescu
2022 — conf
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods.
PP
François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu
2022 J jnl
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods.
CoRR
François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu
2022 J jnl
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks.
CoRR
Alexander Engelmann, Sungho Shin, François Pacaud, Victor M. Zavala
2021 — conf
Domain Decomposition Preconditioners for Unstructured Network Problems in Parallel Vector Architectures.
ICPP Workshops
Daniel Adrian Maldonado, Michel Schanen, François Pacaud, Mihai Anitescu
2021 J jnl
Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition.
CoRR
Youngdae Kim, François Pacaud, Kibaek Kim, Mihai Anitescu
2020 J jnl
Exact Converging Bounds for Stochastic Dual Dynamic Programming via Fenchel Duality.
SIAM J. Optim.
Vincent Leclère, Pierre Carpentier, Jean-Philippe Chancelier, Arnaud Lenoir, François Pacaud
2020 J jnl
Mixed Spatial and Temporal Decompositions for Large-Scale Multistage Stochastic Optimization Problems.
J. Optim. Theory Appl.
Pierre Carpentier, Jean-Philippe Chancelier, Michel De Lara, François Pacaud
2018 J jnl
Stochastic decomposition applied to large-scale hydro valleys management.
Eur. J. Oper. Res.
Pierre Carpentier, Jean-Philippe Chancelier, Vincent Leclère, François Pacaud