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Alex Rivera
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I'm using the algorithm 'COBYLA' in scipy's optimize.minimize function (v.0.11 build for cygwin). I observed that the parameter bounds seems not to be used in this case. For instance, the simple example: from scipy.optimize import minimize def f(x): return -sum(x) minimize(f, x0=1, method='COBYLA', bounds=(-2,2)) returns: status: 2.0 nfev: 1000 maxcv: 0.0 success: False fun: -1000.0 x: array(1000.0) message: 'Maximum number of function evaluations has been exceeded.' instead of the expected 2 for x . Did anyone perceived the same problem? Is there a known bug or documentation error? In the scipy 0.11 documentation, this option is not excluded for the COBYLA algorithm. In fact the function fmin_cobyla doesn't have the bounds parameter. Thanks for any hint.
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