If you have N random integers of size 0-M, worst case memory use and running time should both scale with my algorithm like O(N*N*M). In some cases memory use might scale a little better than that.

About a reproducible random shuffle, why not just call srand with some specific value and then shuffle using the fact that rand is now a known, deterministic function? For testing purposes you can combine different combinations of srand and datasets.

In reply to Re^18: Divide array of integers into most similar value halves by tilly
in thread Divide array of integers into most similar value halves by Pepe

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