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Graph coloring

As explained in Advanced Algorithms and Data Structures

Graph coloring is the assignment of colors to graph vertices subject to specified restrictions on the colors of adjacent vertices.

Graph coloring assigns colors to vertices while preventing adjacent vertices from receiving the same color. With two colors, this condition is equivalent to bipartiteness: the colors identify the graph’s two partitions. section 15.2.3

A practical two-coloring algorithm modifies breadth-first search. Color a starting vertex red, visit its neighbors, and assign each the opposite color. If an edge joins vertices with the same color, reject the graph as non-bipartite; otherwise, the color groups form its partitions. section 15.2.3

Testing a graph in planarity analysis

When checking whether a graph matches K3,3, first verify six vertices and nine edges, then use two-coloring to confirm bipartiteness and verify that both color classes contain three vertices. section 15.2.3

How Advanced Algorithms and Data Structures covers it

How deep it goes
Develops a BFS-based implementation with a queue, color table, conflict test, and partition output, but omits complexity analysis.
Examples
Uses two-colorable and non-two-colorable graphs, plus K3,3 recognition requiring partitions of size three.
What it assumes
Assumes graph traversal, adjacency lists, queues, and vertex and edge terminology while framing bipartiteness through coloring.
What you can do after
Diagnose bipartiteness with BFS and recover the two vertex partitions when coloring succeeds.
How it connects
Connects graph coloring with breadth-first search, bipartite graphs, graph partitions, planarity testing, and K3,3.

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