An implementation of Powell's nonlinear optimization
COBYLA is an implementation of Powell's nonlinear derivative-free constrained optimization that uses a linear approximation approach. The algorithm is a sequential trust-region algorithm that employs linear approximations to the objective and constraint functions, where the approximations are formed by linear interpolation at n + 1 points in the space of the variables and tries to maintain a regular-shaped simplex over iterations.
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Source Files (show unmerged sources)
Filename | Size | Changed |
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cobyla-1.0.1.tar.gz | 0000013646 13.3 KB | |
python-cobyla.changes | 0000000799 799 Bytes | |
python-cobyla.spec | 0000002455 2.4 KB |
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John Vandenberg (jayvdb)
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