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Home›Glossary›Maze Complexity

📊 What Is Maze Complexity?

Maze complexity is how we measure how difficult a maze is to solve. It's not just about size — a tiny maze with many deceptive branches can be harder than a huge maze with a clear path. Complexity comes from the interplay of solution length, junction count, dead-end density, and the branching factor at each decision point.

📏 Factors That Determine Complexity

📐 Solution Length Ratio

The length of the shortest solution divided by the maze dimensions. A 10×10 maze with a 50-step solution is more complex than one with a 15-step solution. We use BFS to compute this because it guarantees finding the true shortest path.

🔀 Decision Points

Junctions where you must choose between two or more paths. More junctions mean more chances to go wrong. The branching factor at each junction matters too: a 4-way crossroads is harder than a simple T-junction.

🚫 Dead-End Density

The percentage of cells that are dead ends. More dead ends = more wrong turns. But length matters too: a 20-cell dead end wastes more time than a 2-cell dead end. The product of count × length is the real penalty.

🗺️ Correct-Path Ratio

What fraction of the maze is on the solution path? If only 10% of cells are on the correct route, there's a 90% chance any random turn leads to a dead end. This ratio is the single best predictor of perceived difficulty for human players.

🎯 How Algorithms Affect Complexity

AlgorithmCorridor LengthDead EndsBranchingDifficulty
Recursive BacktrackingLongFewer, longerLow⭐⭐⭐⭐
Prim's AlgorithmShortMore, shorterHigh⭐⭐⭐
Kruskal'sMediumBalancedHigh⭐⭐⭐
Wilson'sVariedUniformUniform⭐⭐⭐⭐

🎮 Experience Different Difficulties

Try our mazes at different difficulty levels and feel how complexity changes the experience.

Easy Mazes →💪 Hard Mazes

❓ Frequently Asked Questions

What makes a maze difficult?

A combination of long solution paths, many junctions with multiple choices, long dead ends that waste time, and a low ratio of correct-path cells to total cells. The hardest mazes combine all of these.

Does bigger always mean harder?

No. Structure matters more than size. A small maze with deceptive branches can be harder than a large maze with a simple layout. Size contributes, but the algorithm and parameters have a bigger impact.

How do developers control difficulty?

By choosing the algorithm (recursive backtracking for hard, Prim's for easier), adjusting grid size, adding/removing loops, and tuning dead-end length.

📖 Related Terms

🚫
Dead End

The primary source of wrong-turn penalty

🔄
Recursive Backtracking

Creates the most challenging mazes

🌊
Breadth-First Search (BFS)

Used to measure solution length

🌳
Prim's Algorithm

Creates easier, more accessible mazes