Time Complexity - Polylogarithmic Time

An algorithm is said to run in polylogarithmic time if T(n) = O((log n)k), for some constant k. For example, matrix chain ordering can be solved in polylogarithmic time on a Parallel Random Access Machine.

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    The advantage of having a bad memory is that you can enjoy the same good things for the first time several times.
    Friedrich Nietzsche (1844–1900)