Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., et al. (2020) Author Correction SciPy 1.0 Fundamental Algorithms for Scientific ...

Python and SciPy can be used to solve linear programming problems using the scipy.optimize module. This module contains a variety of functions for minimizing and maximizing objectives with constraints ...

One key advantage of using the L\infty norm rather than the L2 norm is that the L\infty cost function has a single minimum unlike the commonly used L2 cost function which typically has multiple local ...

I'm woring at convert matlab code to python code. Now, I have some problem in using scipy.signal.Ifilter. I generate filter coefficient with butterworth function in python. When I generate bandpass ...

However, one drawback of using L\infty minimization is that it is not robust to outliers. By minimizing the L\infty norm instead of the L2 norm, we are, in essence, fitting the outliers and not the ...