Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
perTier
int64
puzzles
int64
mismatches
int64
byTier
dict
overall
dict
10
40
0
{ "naive": { "easy": { "avgMs": 0.016, "avgNodes": 59 }, "medium": { "avgMs": 0.071, "avgNodes": 598 }, "hard": { "avgMs": 0.964, "avgNodes": 10750 }, "expert": { "avgMs": 9.084, "avgNodes": 103932 } }, "mrv": { "easy": { "a...
{ "naive": { "avgMs": 2.534, "avgNodes": 28835 }, "mrv": { "avgMs": 0.222, "avgNodes": 177 }, "logic": { "avgMs": 0.114, "avgNodes": 2 } }

Sudoku Solver Benchmark — Backtracking vs MRV vs Constraint Propagation

Search cost (recursive calls / "nodes") and solve time for three ways to solve a 9×9 Sudoku, measured on the same shipped engine that powers the LK Forge Sudoku Solver, across a reproducible, seed-generated corpus of easy → expert puzzles. All three strategies are asserted to return the same correct solution, so no wrong number ships.

Headline numbers (overall averages)

Strategy Avg search nodes Avg solve time
Naive backtracking (next-empty cell) 28,835 2.536 ms
MRV backtracking (most-constrained cell first) 177 0.220 ms
Constraint propagation (naked + hidden singles) 2 0.118 ms

So the MRV heuristic cuts search ~163× vs naive backtracking, and constraint propagation solves a typical puzzle in ~2 nodes — deducing the answer with almost no guessing, the same reasoning the solver's hint engine explains.

Files

  • data/sudoku-strategies.json — per-difficulty (easy/medium/hard/expert) and overall avgMs and avgNodes for each of the three strategies.

Method

  • Corpus: puzzles produced by the shipped generator with fixed seeds → reproducible.
  • Node count = recursive solver calls (a machine-independent measure of search effort).
  • Strategies: (1) naive backtracking in the shipped cell order; (2) MRV — always branch on the cell with the fewest candidates; (3) logic — apply naked + hidden singles as far as possible before guessing.
  • Correctness gate: all three must return the identical, valid solution for every puzzle.

Reproduce

node benchmark.js   # runs the shipped engine.js over the seeded corpus

Citation

LK Forge (2026). Sudoku Solver Benchmark — Backtracking vs MRV vs Constraint Propagation. https://lkforge.com/tools/puzzles/sudoku-solver/

Everything runs client-side, no login, no tracking.

Downloads last month
13