Hello, I'm pleased to announce the first release of a wrapper I wrote for IBM's CPlex Optimizer Suite. It focuses on ease of use and seamless integration with numpy, and allows one to naturally specify constrained linear and quadratic optimization problems over real, boolean, and integer variables. The wrapper is written in cython/C++ for speed and released under the LGPL license.
For documentation and examples, please see the website: http://www.stat.washington.edu/~hoytak/code/pycpx/index.html. Please send me any comments, questions and suggestions! I am quite open to feedback. Thanks, --Hoyt ++++++++++++++++++++++++++++++++++++++++++++++++ + Hoyt Koepke + University of Washington Department of Statistics + http://www.stat.washington.edu/~hoytak/ + hoy...@gmail.com ++++++++++++++++++++++++++++++++++++++++++ _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion