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Graph coloring

Graph coloring is the assignment of colors to graph elements subject to constraints, such as requiring adjacent vertices to have different colors.

How 2 Manning books explain it

Fabulous Adventures in Data Structures and Algorithms

Graph coloring is the assignment of colors to graph elements subject to constraints such as adjacent vertices receiving different colors.

How it is used
Models incompatible assignments as edges between nodes that must receive different colors.
How deep it goes
Develops a recursive C# algorithm and backtracking strategy, then explains worst-case complexity without proving NP-completeness.
Examples
Uses a South America map, a Sudoku grid, and gate, classroom, and register-allocation scenarios.
What you can do after
Build it from scratch with an immutable C# graph and choose between low-degree recursion and backtracking search.

Read how Fabulous Adventures in Data Structures and Algorithms explains graph coloring →

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.

How it is used
Uses two-coloring to test bipartiteness while recognizing the forbidden graph K3,3 in planarity analysis.
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 you can do after
Diagnose bipartiteness with BFS and recover the two vertex partitions when coloring succeeds.

Read how Advanced Algorithms and Data Structures explains graph coloring →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.