Prompt · Developer Tools

Complexity Estimator

Estimates Big-O time and space complexity with line-by-line justification.

Have ready: Paste the algorithm and describe what n represents

Fill in · 4 fields

PASTE THE ALGORITHMLANGUAGEWHAT n REPRESENTSMY TYPICAL INPUT SIZE

Your prompt

Analyze the time and space complexity of this algorithm.

Code:
[PASTE THE ALGORITHM]
Language: [LANGUAGE]
Input description: [WHAT n REPRESENTS]

Deliver:
1. Big-O time complexity: best, average, and worst case, each with the reasoning tied to specific lines/loops.
2. Space complexity, including hidden costs (recursion depth, intermediate collections, framework overhead).
3. The input shape that triggers the worst case, construct a concrete example.
4. Whether the constant factors or the asymptotics dominate at MY scale: [MY TYPICAL INPUT SIZE].
5. If it is worse than it needs to be: the better approach and its complexity, with the tradeoff (code complexity, memory, etc.).

Do not just state the Big-O, show the derivation.

Paste it into Muse or any assistant. Blank fields stay as [brackets].

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