`VolterraBasis`.compute_va¶

VolterraBasis.compute_va(xf, correct_jumps=False, jump=6.283185307179586, jump_thr=5.497787143782138, lamb_finite_diff=0.5)[source]¶

Computes velocity and acceleration from a dataset with [‘t’, ‘x’] as returned by xframe.

Parameters:

xfxarray dataframe ([‘t’, ‘x’])
correct_jumpsbool, default=False: Jumps in the trajectory are removed (relevant for periodic data).

Examples using `VolterraBasis.compute_va`¶

Memory Kernel Estimation with the usual GLE

Memory Kernel Estimation with the usual GLE

Checking solution of volterra equation

Checking solution of volterra equation

Method comparaison

Method comparaison

Prony Series Estimation

Prony Series Estimation

Memory Kernel fit

Memory Kernel fit

Memory Kernel Estimation

Memory Kernel Estimation

Memory Kernel Estimation with the usual GLE

Memory Kernel Estimation with the usual GLE

Kernel Estimation for 2D observable

Kernel Estimation for 2D observable

Generalized Fokker Planck equation

Generalized Fokker Planck equation

Generalized Fokker Planck equation in underdamped case

Generalized Fokker Planck equation in underdamped case

GLE Integration

GLE Integration