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 ...

To fit a curve with Python and SciPy, you can use the curve_fit function from the scipy.optimize module. This function takes a function that you want to fit to the data, as well as the x and y data.

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 ...

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 ...