Anne Auger
Anne Auger is a French numerical analyst and computer scientist interested in benchmarks and performance analysis of black-box methods for numerical optimization. She is a director of research for the French Institute for Research in Computer Science and Automation (Inria), and the leader of RandOpt, the Randomized Optimization team at the Inria Saclay research center.[1]
Auger earned an agrégation in mathematics in 2000 at Paris-Sud University and a diploma in numerical analysis at Pierre and Marie Curie University in 2001.[2] Next she completed a Ph.D. in 2004 at Pierre and Marie Curie University, with the dissertation Contributions théoriques et numériques à l'optimisation continue par Algorithmes Evolutionnaires, jointly supervised by Claude Le Bris and Marc Schoenauer.[2][3] She earned a habilitation in 2016 at Paris-Sud University.[2]
References
[edit]- ^ "Team members", RandOpt: The Randomized Optimization team at Inria Saclay, French Institute for Research in Computer Science and Automation, retrieved 2022-04-12
- ^ a b c Anne Auger, Centre de Mathématiques Appliquées, École polytechnique, retrieved 2022-04-12
- ^ Anne Auger at the Mathematics Genealogy Project
External links
[edit]- Anne Auger publications indexed by Google Scholar