Learning Path

Shortest Path Algorithms in Graphs

Graph Representation → Complexity Analysis

15 Knowledge Nodes · 15 Learning Steps · v0 Active

This learning path guides students through the essential concepts and algorithms for finding shortest paths in graphs. Starting with graph representation and traversal, it progresses through Dijkstra's algorithm, Bellman-Ford, and Floyd-Warshall, covering their applications and complexity. The path emphasizes understanding the underlying principles and trade-offs to enable informed algorithm selection.

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15 nodes25 edges3 relationships

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Path Nodes

15 learning steps · 4 phases. Click any step to inspect it and see it on the Path Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps

Phase 4

Specialization

3 steps