معرفی
Jean-Philippe Chancelier is a researcher at Cermics (École des Ponts ParisTech), focusing on stochastic optimization, optimal control, and decomposition methods. His work bridges mathematical theory and computational tools, with applications in energy systems, supply chain management, and sparse optimization.
- Key Research Themes:
- Stochastic and multistage optimization
- Capra-convexity and sparsity-inducing norms
- Decomposition-coordination algorithms
- Tropical numerical methods for control
- Recent Article Trends:
- Unified frameworks for sparsity-inducing norms
- Coq-assisted formalization of conditional separation
- Two-time-scale models for storage and energy systems
- Complexity bounds for POMDP and deterministic systems
- Applications in hydrogen infrastructure and reservoir management
- Software Contributions:
- NSP (Numerical Scientific Programming) package
- Integration with ScicosLab and ScilabGtk
His research often involves collaboration with colleagues like Michel De Lara, Pierre Carpentier, and Benoît Heymann, and is published in journals such as Transportation Science, JMLR, and Computers & Chemical Engineering.
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