No, log n is not considered a polynomial function. It is a logarithmic function, which grows at a slower rate than polynomial functions.
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The growth rate of a function is related to the shape of an n log n graph in that the n log n function grows faster than linear functions but slower than quadratic functions. This means that as the input size increases, the n log n graph will increase at a rate that is between linear and quadratic growth.
As the input size n increases, the function t(n) 2t(n/2) log n behaves in a logarithmic manner.
To simplify the expression log(log(n)), you can rewrite it as log(n) / log(10).
The function t(n) 2t(n/2) n2 represents the time complexity of an algorithm using the divide and conquer approach. This type of function is often associated with algorithms like merge sort or quicksort, which have a time complexity of O(n log n).
The time complexity of an algorithm that uses a binary search on a sorted array is O(log n), where n is the size of the input array.