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
Prony Series Estimation
Memory Kernel fit
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