PhD Student in Ingegneria dell’Informazione at Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Firenze. My research interests are machine learning, nonmonotone strategies, Nash Equilibrium Problems and derivative free optimization.

 

Publications

  1. A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties. Galli, L., Kanzow, C. & Sciandrone, M. Computational Optimization and  Application (2018) 69: 629-652. (https://doi.org/10.1007/s10589-017-9960-3)
  2. Machine learning methods for short-term bid forecasting in the renewable energy market: A case study in ItalyCocchi GGalli LGalvan GSciandrone MCantù MTomaselli GWind Energy (2018) 5: 357-371. (https://doi.org/10.1002/we.2166)

My ORCID number: 0000-0002-8045-7101

Phone: +39 3333715116
E-mail: leonardogalli2@gmail.com
linked-in: linkedin.com/leonardogalli

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