Graph

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Figure:

A graph represents relationships using nodes and edges. Nodes are the objects, and edges describe how they connect. Graphs can be directed or undirected, weighted or unweighted, and are used to model networks, maps, and systems.

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Related Topic(s):

🔥 Graph Cost → Cost metrics on graphs (e.g., edge/path weights, MST total weight, cut capacity) are defined only given a graph’s vertices, edges, and representation; cost computation and optimization algorithms rely on the underlying graph structure.

🔥 Directed Graph → A directed_graph is a specialization of a graph where each edge has an orientation (u->v); it reuses the graph’s vertex/edge abstractions and common representations (adjacency lists/matrices) while adding direction-specific semantics and algorithms.

🌟 Graph Traversal →

🌟 Adjacency Matrix →

🌟 Adjacency List →

⚡️ Depth First Search →

⚡️ Breadth First Search →

Binary Tree →

Directed Acyclic Graph →

Topological Sort →

Network Flow →

Minimum Spanning Tree →

Introduction To Weighted Graphs →