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Published at November 8

optipoly: A Python package for boxed-constrained multi-variable polynomial cost functions optimization

cs.CE

Released Date: November 8, 2024

Authors: Mazen Alamir

Arxiv: http://arxiv.org/abs/2411.05689v1

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Methods	input	returns	Description
extract_sc_pol	x0, ix	sc_pol	Generate a scipy scalar polynomial sc_pol in the component indexed by ix at the current value x0 of the decision variable.
to_df	None	df	Generate a pandas dataframe df representing the polynomial data.
to_dict	None	dic	Generate a python dictionary dic representing all the information regarding the polynomial.
solve	x0, xmin, xmax, Ntrials, ngrid, iter_max, eps, psi	solution, cpu	The main method that minimizes/maximizes or find roots for the instance polynomial. The mode depends on the choice of the lambda function psi. See the detailed description of the parameters in Section 3.3.