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### Feature = Edmond-Karp Algorithm
The Edmonds-Karp algorithm is designed to solve the maximum flow problem in a flow network.
Given a directed graph with a source vertex and a sink vertex, along …
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The edmondsKarp function is returning void, but it should return int or double + further testing required.
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Reduced connectivity is understood as being a subgraph (generated by your system) of the original railway network. Note that your system should also take any valid source and destination stations as i…
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Manual instrumentation of branch coverage for the following functions.
This is done by writing to the file `data/branch-coverage` with `'a'` (append) flag enabled.
See structure in `tests/__init__.p…
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Video talks about residual edges etc. Code keeps track of residual values, but they are not used in any way. Residual edges are never considered.
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This [blog](https://codeforces.com/blog/entry/70740) provides an instance generator that makes the [provided algorithm](https://cp-algorithms.com/graph/min_cost_flow.html) take an exponential time in …
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The Hopcroft-Karp and Eppstein algorithms as implemented in NetworkX
compute matchings for bipartite graphs faster than the algorithms for
general graphs. I've included an override of the matching m…
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It should be possible to call `minimum_cut(G, s, t, flow_func=shortest_augmenting_path, cutoff=3)` however this raises an exception.
From `maxflow.py`, `minium_cut()` definition:
```
if kwarg…
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Boost provides three different algorithms for finding max flow in directed graphs: **boykov_kolmogorov**, **edmonds_karp** and **push_relabel**. All of them have named and non-named parameter versions…
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This issue is another question or maybe rather just me thinking aloud. My aim with this issue is mostly to start a discussion about how to understand/conceptualize the problem Lem-in is asking us to s…
crl-n updated
2 years ago