Caglar,
Thanks for asking. The license does not include an obligation to cite the software in publications, but of course we appreciate it when people do.
In our own papers we use the reference
M. S. Andersen, J. Dahl, and L. Vandenberghe. CVXOPT: A Python package for convex optimization, version 1.1.5. Available at
abel.ee.ucla.edu/cvxopt, 2012.
For an overview paper that describes the general purpose and gives examples of customized solvers, we cite the following book chapter
M. S. Andersen, J. Dahl, Z. Liu, and L. Vandenberghe. Interior-point methods for large-scale cone programming. In S. Sra, S. Nowozin, and S. J. Wright, editors, Optimization for Machine Learning, pages 55–83. MIT Press, 2012.
Best regards,
Lieven