Combinatorial Explorations in Su-Doku
Jean-Marie Chauvet

TL;DR
This paper investigates combinatorial aspects of Su-Doku puzzles, exploring their solution space, difficulty estimation, and the role of the alldifferent constraint in solving and analyzing these puzzles.
Contribution
It introduces new insights into Su-Doku's combinatorial properties and compares various algorithmic approaches based on different CSP formulations.
Findings
Number of distinct Su-Doku grids estimated
Comparison of algorithmic approaches for solving Su-Doku
Analysis of puzzle difficulty and minimal clues
Abstract
Su-Doku, a popular combinatorial puzzle, provides an excellent testbench for heuristic explorations. Several interesting questions arise from its deceptively simple set of rules. How many distinct Su-Doku grids are there? How to find a solution to a Su-Doku puzzle? Is there a unique solution to a given Su-Doku puzzle? What is a good estimation of a puzzle's difficulty? What is the minimum puzzle size (the number of "givens")? This paper explores how these questions are related to the well-known alldifferent constraint which emerges in a wide variety of Constraint Satisfaction Problems (CSP) and compares various algorithmic approaches based on different formulations of Su-Doku.
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Taxonomy
TopicsConstraint Satisfaction and Optimization · AI-based Problem Solving and Planning · Model-Driven Software Engineering Techniques
