elementary-graph-algorithms

Community

Graph representations and traversals with CLRS.

AuthorArcadi4
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Graph-search problems require choosing the correct representation and applying traversal and decomposition techniques to reason about reachability, order, and components in both directed and undirected graphs.

Core Features & Use Cases

  • Representation guidance: choose between adjacency lists, adjacency matrices, or hybrid structures to balance space and time.
  • Traversal & analysis: apply breadth-first search, depth-first search, topological sorting, strongly connected components, edge classification, articulation points, bridges, and Euler tours with invariant reasoning.
  • Use case: analyze software dependency graphs, networks, or task flows in CLRS-style proofs to derive reachability, ordering, and component structure.

Quick Start

Construct a simple directed graph and run BFS/DFS to determine reachability and a valid topological order.

Dependency Matrix

Required Modules

None required

Components

Standard package

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Please help me install this Skill:
Name: elementary-graph-algorithms
Download link: https://github.com/Arcadi4/nerdy/archive/main.zip#elementary-graph-algorithms

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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