Find attractors of dynamical systems, their basins, and continue them across parameters. Study global stability (a.k.a. non-local, or resilience). Also tipping points functionality.
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Irregular grids with discretization lvl specification #93
2D works well
3D has to be discussed, there is easier way to do that than via matrix, as construction of matrix by user in 3d is quite ambitious, one can just specify range of values which he desires to be more dense like some small cube (xg,yg,zg) and current algo will consume it with very few adjustments (also will work in higher dims if one would ever need this)
I will explain tomorrow the work of the algorithm, also I need some nice example for docs or should I try to reuse prays and predators?
2D works well 3D has to be discussed, there is easier way to do that than via matrix, as construction of matrix by user in 3d is quite ambitious, one can just specify range of values which he desires to be more dense like some small cube (xg,yg,zg) and current algo will consume it with very few adjustments (also will work in higher dims if one would ever need this) I will explain tomorrow the work of the algorithm, also I need some nice example for docs or should I try to reuse prays and predators?