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Home/ Questions/Q 9305219
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Editorial Team
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Editorial Team
Asked: June 18, 20262026-06-18T23:52:47+00:00 2026-06-18T23:52:47+00:00

We are going over the master theorem in my algorithms class, and for one

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We are going over the master theorem in my algorithms class, and for one problem, I’m trying to compare nlogn vs 1 to figure out which case of the MT it falls under. But I’m having a hard timing figuring out which is bigger.

Edit: This is for solving a recurrence problem. The equation is T(n) = 2T(n/4) + N*LogN. Just threw this in incase it helps.

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  1. Editorial Team
    Editorial Team
    2026-06-18T23:52:48+00:00Added an answer on June 18, 2026 at 11:52 pm

    Think about it this way:

    • O(N*LogN) will increase with N in such a way that for any X, no matter how large, you can find a value of N such that N*LogN is greater than X.
    • O(1) will stay the same, no matter what N is.

    This means that O(1) is asymptotically better, i.e. for some (perhaps very high) value of N the O(N*LogN) will become slower.

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