François Pacaud

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Quadratically Constrained Quadratic

Optimization Problems

Optimal Power Flow

Top Venues

J. Optim. Theory Appl.

Publications

François Pacaud, Sungho Shin, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu
Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures. J. Optim. Theory Appl. 202 (1) (2024)
Sungho Shin, François Pacaud, Mihai Anitescu
Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods. CoRR (2023)
David L. Cole, Sungho Shin, François Pacaud, Victor M. Zavala, Mihai Anitescu
. ACC (2023)
Sungho Shin, François Pacaud, Emil Contantinescu, Mihai Anitescu
. ACC (2023)
François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. CoRR (2022)
Alexander Engelmann, Sungho Shin, François Pacaud, Victor M. Zavala
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks. CoRR (2022)
François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. PPSC (2022)
Youngdae Kim, François Pacaud, Kibaek Kim, Mihai Anitescu
Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition. CoRR (2021)
Daniel Adrian Maldonado, Michel Schanen, François Pacaud, Mihai Anitescu
Domain Decomposition Preconditioners for Unstructured Network Problems in Parallel Vector Architectures. ICPP Workshops (2021)
Pierre Carpentier, Jean-Philippe Chancelier, Michel De Lara, François Pacaud
Mixed Spatial and Temporal Decompositions for Large-Scale Multistage Stochastic Optimization Problems. J. Optim. Theory Appl. 186 (3) (2020)
Vincent Leclère, Pierre Carpentier, Jean-Philippe Chancelier, Arnaud Lenoir, François Pacaud
Exact Converging Bounds for Stochastic Dual Dynamic Programming via Fenchel Duality. SIAM J. Optim. 30 (2) (2020)
Pierre Carpentier, Jean-Philippe Chancelier, Vincent Leclère, François Pacaud
Stochastic decomposition applied to large-scale hydro valleys management. Eur. J. Oper. Res. 270 (3) (2018)