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I'm adding this issue, as I've received a request to add an examples section for the github repo, so that the more sophisticated examples are explained using jupyter notebooks, with images and visualisations. The first idea is to link the table of functions from the readme.md to directly to the examples:
(cut for brevity)
An example could be:
which explains how the method works.
Suggestions are welcome
The text was updated successfully, but these errors were encountered:
Would this work as a recommended reading list / general table of content for the examples?
basic graph theory
nodes
edges
has_path
distance path
is a subgraph
examples of existing graphs available for testing.
generating and visualising graphs.
random xy graph
grids
comparing graphs
topological sort
phase lines
graph-hash
flow_graph_hash
merkle-tree
solving search problems
adjacency matrix
BFS
DFS
DFScan
bidi-BFS
TSP
critical path method
find loops
calculating statistics about graphs
indegree
outdegree
components
has cycles
network size
is partite
degree of separation
solving transport problems
minmax
minsum
shortest_tree all pairs.
scheduling problem
traffic scheduling problem
jam solver
trans shipment problem (needs rewrite)
solving flow problems
max flow
max flow min cut
min cost flow
all_simple_paths
all_paths
solving assignment problems
assignment problem
wtap
representing systems as graphs
graph as finite state machine
I'm adding this issue, as I've received a request to add an examples section for the github repo, so that the more sophisticated examples are explained using jupyter notebooks, with images and visualisations. The first idea is to link the table of functions from the readme.md to directly to the examples:
(cut for brevity)
An example could be:
which explains how the method works.
Suggestions are welcome
The text was updated successfully, but these errors were encountered: