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split_simplex_symmetry(self, S, gen)

This function utilizes the knowledge that the problem is specified with symmetric constraints

The longest edge is tracked by an ordering of the vertices in every simplices, the edge between first and second vertex is the longest edge to be split in the next iteration.

Split a hypersimplex S into two sub simplices by building a hyperplane which connects to a new vertex on an edge (the longest edge in dim = {2, 3}) and every other vertex in the simplex that is not connected to the edge being split.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/optimize/_shgo_lib/triangulation.py#300
type: <class 'function'>
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