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1 | 1 | # Graph-theory-algorithms-with-Python |
2 | 2 | Implementation of graph theory algorithms from scratch using python |
3 | | -<ol>a |
4 | | - <li>b |
5 | | - <li>c |
6 | | - </ol> |
| 3 | +<dl> |
| 4 | + <dt>Graph</dt> |
| 5 | + <dd>Creating a graph</dd> |
| 6 | + <dd>Display of a graph</dd> |
| 7 | + <dd>Summit predecessor and successor</dd> |
| 8 | + <dd>Neighborhood of a summit</dd> |
| 9 | + <dd>Degree of a vertex</dd> |
| 10 | + <dd>Adjacency matrix</dd> |
| 11 | + <dd>Incidence matrix</dd> |
| 12 | + <dd>Simple graph</dd> |
| 13 | + <dd>Complete graph</dd> |
| 14 | + <dd>Add or remove a vertex</dd> |
| 15 | + <dd>Add or remove an arc/edge</dd> |
| 16 | + <dd>Related graph</dd> |
| 17 | + <dd>Euler graph</dd> |
| 18 | + <dd>Strongly related</dd> |
| 19 | + <dd>Existence of a cycle</dd> |
| 20 | + <dd>Welsh and Powell algorithm</dd> |
| 21 | + <dt>Trees</dt> |
| 22 | + <dd>Tree trace</dd> |
| 23 | + <dd>Kruskal's algorithm</dd> |
| 24 | + <dd>Prim's algorithm</dd> |
| 25 | + <dt>Shortest paths in a graph</dt> |
| 26 | + <dd>Dijkstra's algorithm</dd> |
| 27 | + <dd>Bellman-Ford algorithm</dd> |
| 28 | +</dl> |
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