| Exact converging bounds for stochastic dual dynamic programming via fenchel duality V Leclere, P Carpentier, JP Chancelier, A Lenoir, F Pacaud SIAM Journal on Optimization 30 (2), 1223-1250, 2020 | 43 | 2020 |
| Stochastic decomposition applied to large-scale hydro valleys management P Carpentier, JP Chancelier, V Leclère, F Pacaud European Journal of Operational Research 270 (3), 1086-1098, 2018 | 24 | 2018 |
| Mixed spatial and temporal decompositions for large-scale multistage stochastic optimization problems P Carpentier, JP Chancelier, M De Lara, F Pacaud Journal of Optimization Theory and Applications 186 (3), 985-1005, 2020 | 21 | 2020 |
| Stochastic optimal control of a domestic microgrid equipped with solar panel and battery F Pacaud, P Carpentier, JP Chancelier, M De Lara arXiv preprint arXiv:1801.06479, 2018 | 18* | 2018 |
| Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition Y Kim, F Pacaud, K Kim, M Anitescu arXiv preprint arXiv:2106.14995, 2021 | 16 | 2021 |
| Distributed multistage optimization of large-scale microgrids under stochasticity F Pacaud, M De Lara, JP Chancelier, P Carpentier IEEE Transactions on Power Systems 37 (1), 204-211, 2021 | 14* | 2021 |
| Decentralized optimization methods for efficient energy management under stochasticity F Pacaud These de doctorat, Université Paris-Est, 2018 | 14* | 2018 |
| Accelerating condensed interior-point methods on SIMD/GPU architectures F Pacaud, S Shin, M Schanen, DA Maldonado, M Anitescu Journal of Optimization Theory and Applications, 1-20, 2023 | 6 | 2023 |
| A feasible reduced space method for real-time optimal power flow F Pacaud, DA Maldonado, S Shin, M Schanen, M Anitescu Electric Power Systems Research 212, 108268, 2022 | 4 | 2022 |
| Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures F Pacaud, M Schanen, S Shin, DA Maldonado, M Anitescu Optimization Methods and Software, 1-24, 2024 | 3 | 2024 |
| Accelerating optimal power flow with gpus: Simd abstraction of nonlinear programs and condensed-space interior-point methods S Shin, F Pacaud, M Anitescu arXiv preprint arXiv:2307.16830, 2023 | 3 | 2023 |
| Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems* D Cole, S Shin, F Pacaud, VM Zavala, M Anitescu 2023 American Control Conference (ACC), 3995-4000, 2023 | 3 | 2023 |
| Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks A Engelmann, S Shin, F Pacaud, VM Zavala arXiv preprint arXiv:2212.11571, 2022 | 3 | 2022 |
| Batched second-order adjoint sensitivity for reduced space methods F Pacaud, M Schanen, DA Maldonado, A Montoison, V Churavy, ... Proceedings of the 2022 SIAM Conference on Parallel Processing for …, 2022 | 2 | 2022 |
| A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems A Subramanyam, Y Kim, M Schanen, F Pacaud, M Anitescu arXiv preprint arXiv:2112.09027, 2021 | 2 | 2021 |
| Julia as a portable high-level language for numerical solvers of power flow equations on GPU architectures M Schanen, DA Maldonado, F Pacaud, A Montoison, M Anitescu, K Kim, ... Les Cahiers du GERAD ISSN 711, 2440, 2020 | 2 | 2020 |
| Stochdynamicprogramming. jl a julia library for multistage stochastic optimization V Leclère, H Gérard, F Pacaud, T Rigaut | 2 | 2017 |
| GPU-accelerated nonlinear model predictive control with ExaModels and MadNLP F Pacaud, S Shin arXiv preprint arXiv:2403.15913, 2024 | | 2024 |
| Nonlinear Optimization on Exascale Computing Architectures and GPUs S Shin, F Pacaud, M Anitescu 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties* S Shin, F Pacaud, E Contantinescu, M Anitescu 2023 American Control Conference (ACC), 634-639, 2023 | | 2023 |
Mihai AnitescuSenior Computational Mathematician, Argonne National LaboratoryEmail verificata su mcs.anl.gov
