What is Graph Coloring?

Graph coloring refers to the problem of coloring vertices of a graph in such a way that no two adjacent vertices have the same color. This is also called the vertex coloring problem. If coloring is done using at most m colors, it is called m-coloring.

Importance of Graph Coloring in Competitive Programming(CP):

In CP as the difficulty of problems increases, the problem setter mostly chooses a graph-based problem. The solution of many such problems lies in the concept of graph coloring which mainly revolves around 3 key concepts:

  • Bi-partite Coloring
  • M-coloring of graph
  • Chromatic Numbers

In this article, we will see how these concepts are used in a problem.

Graph Coloring for Competitive Programming

Graph coloring in programming refers to the assignment of colors to the vertices of a graph in a way that no two adjacent vertices share the same color. In this article, we will cover the concepts of Graph coloring, why is it important to learn for Competitive Programming and other related concepts like: Bipartite Graph, Chromatic Number, etc.

Table of Content

  • What is Graph Coloring?
  • Use cases of Bipartite Graph in Competitive Programming
  • M-coloring and Chromatic Numbers in Graph Coloring
  • Practice Problems on Graph Coloring for Competitive Programming

Similar Reads

What is Graph Coloring?

Graph coloring refers to the problem of coloring vertices of a graph in such a way that no two adjacent vertices have the same color. This is also called the vertex coloring problem. If coloring is done using at most m colors, it is called m-coloring....

Use cases of Bipartite Graph in Competitive Programming:

A bipartite graph is a graph in which the vertices can be divided into two disjoint sets, such that no two vertices within the same set are adjacent. In other words, it is a graph in which every edge connects a vertex of one set to a vertex of the other set....

M-coloring and Chromatic Numbers in Graph Coloring:

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Practice Problems on Graph Coloring for Competitive Programming:

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