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doxygen/contribute.dox
+\li Spearmint (Python): A library based on \cite Snoek2012. It is more oriented to cluster computing https://github.com/JasperSnoek/spearmint
+\li Hyperopt (Python): A library mainly based on \cite Bergstra2011. It uses different models for the surrogate model https://github.com/jaberg/hyperopt
+\li Perk (Fortran+Shell): A library for surrogate modelling. It was mainly used in \cite Santner03. http://www.stat.osu.edu/~comp_exp/book.html
+\li SUMO (Matlab): A library for surrogate modelling. Its main purpose it is not optimization but it also includes the Expected Imporvement algorithm. http://www.sumowiki.intec.ugent.be/Main_Page
+\li GPML (Matlab): The most popular library for Gaussian Process. BayesOpt uses some of its design principles. http://www.gaussianprocess.org/gpml/code/matlab/doc/
+\li NLOPT (CMany languages): One of the best libraries for general purpose nonlinear optimization. http://abinitio.mit.edu/wiki/index.php/NLopt