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"Premature optimization is the root of all evil"
Donald Knuth

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) and more detailed Google's Python Class.

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

Optimization department of cybernetics institute, National Academy of Sciences of Ukraine
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