The answer
A TLE error on coding platforms almost always means you submitted an O(N^2) nested-loop solution when the platform was testing with a massive input expecting an O(N) solution.
O(N^2) Quadratic Time: Recognizing Inefficiencies
What causes a Time Limit Exceeded (TLE) error?
More FAQs in O(N^2) Quadratic Time: Recognizing Inefficiencies
It is a time complexity where the execution time grows proportionally to the square of the input size, typically caused by checking every item against every other item.
No, only if both loops scale with N. If the outer loop runs N times and the inner loop runs a fixed 5 times, it is O(5N), which simplifies to O(N).
Yes, for intrinsically 2D problems like traversing an N x N matrix, or for sorting very tiny arrays where the overhead of complex O(N log N) algorithms isn't worth it.
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