3 projects
pyfitit
Python implementation of FitIt software to fit spectra extended with additional features
confsmooth
The algorithm smooths functions preserving local peaks. To distinguish peaks from noise it needs noise standard deviation
minlpe
Adaptive sampling based on the minimization of approximation error Lp norm. MaxLpE is a fast adaptive sampling algorithm with accuracy comparable with the best known adaptive sampling methods: TEAD, LIP, MIPT, EIGF, MASA, SFVCT. Its features include sampling time control and parallel (batch) point generation. The norm parameter p regulates sampling, inclining it either towards local exploitation or, conversely, global exploration