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gusmaogabriels authored May 1, 2017
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==================================================================

**optinpy**
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*General linear and non-linear optimization methods in Python.*

####**Description**
**Description**

#####**Graphs** (`.graph`)
**Graphs** (`.graph`)
- Equivalent *tableau* (`.tableau`) -> *under development*
- Nodes objetcs (`.node`)
- Arcs objects (`.arc`)

#####**Minimum-cost flow problem** (`.mcfp`)
**Minimum-cost flow problem** (`.mcfp`)
- Big-M (`.bigm`)

#####**Shortest-path Algorithms** (`.sp`)
**Shortest-path Algorithms** (`.sp`)
- Dijkstra's (`.dijkstra`)
- Ford-Bellman-Moore's (`.fmb`)

#####**Minimum spanning-tree Algorithms** (`.mst`)
**Minimum spanning-tree Algorithms** (`.mst`)
- Prim's (`.prim`)
- Kruskal's alike (see commit notes) (`.kruskal`)
- Borůvka's (`.boruvka`)
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