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  1. Courses Collection
  2. Courses Collection
  3. MIT Algorithm Courses
  4. MIT 6.042J
  5. Graph Theory

Graph and Trees

Definitions and Basic Properties

  • A graph is a collection of vertices (also called nodes) and edges (also called links) that connect pairs of vertices.

  • Graphs can be directed (where edges have a direction) or undirected (where edges do not have a direction).

  • The degree of a vertex in a graph is the number of edges incident to it.

  • A tree is a connected, acyclic graph.

  • Trees have many useful properties, such as the fact that any two vertices in a tree are connected by a unique path.

  • Binary trees are trees where each node has at most two children.

  • Trees can be used to model hierarchical relationships, such as family trees or organizational charts.

  • Spanning trees are trees that include all the vertices of a graph.

Spanning Trees

The spanning trees are trees that include all the vertices of a graph.

  • Finding spanning trees using depth-first search and breadth-first search algorithms

DFS and BFS can be used to find spanning trees in a graph

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