ScipyOptimizer

class ScipyOptimizer(verbose=False, disable_tqdm=True, maxfun=200, **kwargs)

Class for the SciPy minimizer.

This class is a wrapper for the SciPy minimizer. It requires the following parameters to be set: - init initial values for each parameter - min and max bounds for each parameter

verbose

Whether to print the optimization progress.

Type:

bool, default False

disable_tqdm

Whether to disable the tqdm progress bar.

Type:

bool, default True

maxfun

Maximum number of function evaluations.

Type:

int

kwargs

Additional keyword arguments for the SciPy minimizer. https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html

Type:

dict[str, Any]

minimize(func, init)

Minimize the given function using the SciPy minimize.

Parameters:

• func (callable) – The objective function to be minimized. The function should take a single argument, which is a NumPy array of type np.float64, and return a float value.

• init (numpy.ndarray) – The initial point for the optimization algorithm. The array should have dtype np.float64.

Returns:

A tuple containing the minimum function value and the corresponding optimal point.

Return type:

tuple