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docs(algs): upd algs README
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algorithms/README.md

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# Algorithms
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Algorithms implemented:
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- Breadth-first search
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- Flood fill (DFS version)
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- Breadth-first search `bfs.py`
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- Depth-first search `dfs.py`
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- Flood fill (DFS version) `flood_fill.py`
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- Finding articulation points (brute force only)
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- TODO: reframe as using backedge technique to (1) find articulation points, (2) find bridges
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- Dynamic programming (as ipynb)
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Data structures and environments implemented:
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- Graphs
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- 2D grid
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TODO:
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- DFS standalone
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- BFS and DFS as part of the Graph class
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- Shortest path
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- Greedy
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- Dynamic programming as a .py file
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- Shortest path
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- Minimum Spanning Tree (MST)
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- Sorts
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- Searches
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- Complete Search
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- Heuristic search
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- Approximate search
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- Knapsack
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- Computational geometry
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- Network flow
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- Eulerian Path
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- Two-dimensional convex hull
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- BigNums
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- Finding articulation points (uses backedges or bridges)
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- Minimum Spanning Tree (MST)
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- Sorts
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- Searches
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- Complete Search
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- Heuristic search
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- Approximate search
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- Other graph algorithms (Hamiltonian Path, Maximum Flow, min cost max flow, topological sort)

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