D. Claudia, A. Ambrosio, and . Lodi, Mixed integer nonlinear programming tools: a practical overview, pp.329-349, 2011.

P. Bonami, M. Kilinç, and J. Linderoth, Algorithms and Software for Convex Mixed Integer Nonlinear Programs, Mixed integer nonlinear programming, pp.1-39, 2012.
DOI : 10.1007/978-1-4614-1927-3_1

URL : https://hal.archives-ouvertes.fr/hal-00423416

S. Burer and A. N. Letchford, Non-convex mixed-integer nonlinear programming: A survey, Surveys in Operations Research and Management Science, pp.97-106, 2012.
DOI : 10.1016/j.sorms.2012.08.001

D. S. Hochbaum, A nonlinear Knapsack problem, Operations Research Letters, vol.17, issue.3, pp.103-110, 1995.
DOI : 10.1016/0167-6377(95)00009-9

K. Mathur, M. Harvey, S. Salkin, and . Morito, A branch and search algorithm for a class of nonlinear knapsack problems, Operations Research Letters, vol.2, issue.4, pp.155-160, 1983.
DOI : 10.1016/0167-6377(83)90047-0

M. Sakarovitch, Optimisation combinatoire: Programmation discrète, Editions Hermann, vol.2, 1984.

J. Marco, A. Duran, E. Ignacio, and . Grossmann, La recherche opérationnelle tome 1: Les méthodes d'optimisation An outer-approximation algorithm for a class of mixed-integer nonlinear programs, Mathematical programming, vol.36, issue.3, pp.307-339, 1986.

M. Arthur and . Geoffrion, Generalized benders decomposition, Journal of optimization theory and applications, vol.10, issue.4, pp.237-260, 1972.

T. Westerlund and F. Pettersson, An extended cutting plane method for solving convex MINLP problems, Computers & Chemical Engineering, vol.19, pp.131-136, 1995.
DOI : 10.1016/0098-1354(95)87027-X

I. Quesada, E. Ignacio, and . Grossmann, An LP/NLP based branch and bound algorithm for convex MINLP optimization problems, Computers & Chemical Engineering, vol.16, issue.10-11, pp.937-947, 1992.
DOI : 10.1016/0098-1354(92)80028-8

S. Boyd and L. Vandenberghe, Convex optimization, 2009.

G. Giebel, R. Brownsword, G. Kariniotakis, M. Denhard, and C. Draxl, The state-of-the-art in short-term prediction of wind power: A literature overview, 2011.

D. P. Bertsekas, Dynamic Programming: Deterministic and Stochastic Models, 1976.

M. Lydia, S. Subhendu-kumar, G. Edwin-prem, A. Kumar, and . Selvakumar, Advanced algorithms for wind turbine power curve modeling. Sustainable Energy, IEEE Transactions on, vol.4, issue.3, pp.827-835, 2013.

M. Schlechtingen, I. Ferreira-santos, and S. Achiche, Using datamining approaches for wind turbine power curve monitoring: a comparative study, IEEE Transactions on, vol.4, issue.3, pp.671-679, 2013.