While MatlabBGL uses the Boost Graph Library for efficient graph routines,
gaimc implements everything in pure Matlab code. While the routines are
slower, they aren't as slow as I initially thought. Since people often
have problems getting MatlabBGL to compile on new versions of Matlab
or on new architectures, this library is then a complement to MatlabBGL.
See the published M-files for a few examples of the capabilities.
Functions
depth first search (dfs)
breadth first search (bfs)
connected components (scomponents)
maximum weight bipartite matching (bipartite_matching)
Dijkstra's shortest paths (dijkstra)
Prim's minimum spanning tree (mst_prim)
clustering coefficients (clustercoeffs)
directed clustering coefficients (dirclustercoeffs)
core numbers (corenums)
The project is maintained at github : http://github.com/dgleich/gaimc/tree/master
引用格式
David Gleich (2026). gaimc : Graph Algorithms In Matlab Code (https://ww2.mathworks.cn/matlabcentral/fileexchange/24134-gaimc-graph-algorithms-in-matlab-code), MATLAB Central File Exchange. 检索时间: .
| 版本 | 已发布 | 发行说明 | Action |
|---|---|---|---|
| 1.0.0.0 |
