pypr.optimization.minimize(X, f, df, length, verbose=False, return_result=False, callback=None)

This is Carl Edward Rasmussen’s minimize method rewritten in Python.


X: Input for the function f.

f: The function to be minimized. f is a method that takes X as input and provides af function evaluation.

df: The function gradient, evaluated at X.

length: The maximum number of line searches.

callback: An optional user-supplied function to call after each iteration.
Called as callback(Xk), where Xk is the current parameter vector.
Returns: By default the function value for each iteration, but if
return_result is set to True, then it returns a tuple containing (function value, final function inputs).

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