355 citations
- Czech Technical University in PragueCZ218 papers
- Mohammed V UniversityMA216 papers
- Université Paris CitéFR212 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT209 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT209 papers
- National Institute for Subatomic PhysicsNL209 papers
- Comenius University BratislavaSK208 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di NapoliIT208 papers
- Jagiellonian UniversityPL208 papers
- National Centre of Scientific Research "Demokritos"GR208 papers
- Tbilisi State UniversityGE208 papers
- Université Paris-SaclayFR208 papers
5 papers · 1 filter
Optimal Control of a Bioeconomic Crop-Energy System with Energy Reinvestment
Othman Cherkaoui Dekkaki
We develop an optimal control model for allocating agricultural crop residues between bioenergy production and soil fertility restoration. The system captures a novel circular feed…
Computational investigations of a multi-class traffic flow model: mean-field and microscopic dynamics
Amal Machtalay, Abderrahmane Habbal, Ahmed Ratnani +1
We address a multi-class traffic model, for which we computationally assess the ability of mean-field games (MFGs) to yield approximate Nash equilibria for traffic flow games of in…
Deep Learning for Mean Field Optimal Transport
Sebastian Baudelet, Brieuc Frénais, Mathieu Laurière +2
Mean field control (MFC) problems have been introduced to study social optima in very large populations of strategic agents. The main idea is to consider an infinite population and…
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems
E. Bergou, Y. Diouane, V. Kungurtsev +1
Least squares form one of the most prominent classes of optimization problems, with numerous applications in scientific computing and data fitting. When such formulations aim at mo…
A stochastic Levenberg-Marquardt method using random models with complexity results
E. Bergou, Y. Diouane, V. Kungurtsev +1
Globally convergent variants of the Gauss-Newton algorithm are often the methods of choice to tackle nonlinear least-squares problems. Among such frameworks, Levenberg-Marquardt an…