Consider the following modification to the Merge Sort algorithm: divide the input array into thirds (rather than halves), recursively sort each third, and finally combine the results using a three-way Merge subroutine. What is the running time of this algorithm as a function of the length n of the input array, ignoring constant factors and lower-order terms

The correct answer to the following question will be "n logn".

Explanation:

Time Complexity should be the same as the whole last particular instance, just the log base keeps changing with three.  Throughout the circumstance of separating 2 arrays, we want one correlation. however, for splitting between 3-way arrays, will require 2 comparisons to sort. However, after breaking the array into 3, we can lower the number of transfers by growing the comparison. So the time complexity would then persist the same, but the log should get base 3 as we've classified into different parts.

So the time complexity will be:

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A parallel circuit may work better than a series circuit in an application with more than one objects receiving electricity. This way, if one of the objects cannot receive electricity and transmit it over, then there is another path for the electricity to follow.