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Attention! First of all (before learning our soft doc) it is highly recommended to obtain basic experience with Python language (function definitions via def and lambda, basic types - list, tuple, set) and NumPy (creation of arrays and primary operations over them - summation, multiplication, dot, sin, cos, etc). You could take a look at our very brief and tentative Python Introduction, it will hardly take more than 5-10 minutes.

For the list of problems/solvers available in OpenOpt framework and related examples see OpenOpt problems tree:

• FAQ (Frequently Asked Questions)
• OpenOpt framework documentation
• FuncDesigner and its documentation
• Export LP/MILP coded in OpenOpt or FuncDesigner to MPS format files
• DerApproximator and its documentation
• Sparse matrices