- ajc.py: New augmented jump chain module
- Sparse implementation for the computation of the transition kernel, koopman operators and space-time-committors
- schur.py
- allow sensivity and iteration adjustment for the KrylovSchur solver
- change tolerance to absolute value
- pcca.py
- fix memory allocation for sparse systems
- voronoi.py
- Precluster a trajectory into voronoi cells and compute the transfer matrix. Uses either predefined centers or computes them via k-means or picking_algorithm
- Alternatively use a uniform grid and sparsify by omitting unused cells
- diffusionmaps.py Compute the diffusion maps of a given set of points Features bandwidth estimation and custom metrics as well as using only the n-nearest-neighbours.
- galerkin.find_bandwith: Fix calculation
- picking_algorithm: Enable use of custom metrics.