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2019 Project-Team Activity Report
REALOPT
Reformulations based algorithms for Combinatorial Optimization
Research centre:
Bordeaux - Sud-Ouest
In partnership with: CNRS, Université de Bordeaux
In collaboration with: Institut de Mathématiques de Bordeaux (IMB), Laboratoire Bordelais de Recherche en Informatique (LaBRI)
In collaboration with: Institut de Mathématiques de Bordeaux (IMB), Laboratoire Bordelais de Recherche en Informatique (LaBRI)
Field: Applied Mathematics, Computation and Simulation
Theme: Optimization, machine learning and statistical methods
Theme: Optimization, machine learning and statistical methods
Keywords:
Computer Science and Digital Science:
- A1.1.3. - Memory models
- A1.1.4. - High performance computing
- A1.1.5. - Exascale
- A1.3.5. - Cloud
- A6.1.3. - Discrete Modeling (multi-agent, people centered)
- A6.2.5. - Numerical Linear Algebra
- A6.2.6. - Optimization
- A6.2.7. - High performance computing
- A7.1.2. - Parallel algorithms
- A8.1. - Discrete mathematics, combinatorics
- A8.2. - Optimization
- A8.2.1. - Operations research
- A8.7. - Graph theory
- A9.7. - AI algorithmics
Other Research Topics and Application Domains:
- B3.1. - Sustainable development
- B3.1.1. - Resource management
- B4.2. - Nuclear Energy Production
- B4.4. - Energy delivery
- B6.5. - Information systems
- B7. - Transport and logistics
- B9.5.2. - Mathematics