Work out space complexity estimator instantly with clear inputs, formula shown and shareable results.
Space complexity counts how much auxiliary memory an algorithm needs as the input grows. Multiplying the item count by the bytes per item gives a concrete figure to compare against available RAM.
Memory estimate
bytes ≈ items(n) × bytes per item
8 MB, comfortably in cache-adjacent memory.
A million items would need 8 terabytes. Quadratic space becomes infeasible far sooner than quadratic time.