Assume we have k heaps, each with a maximum of n items. These are to be combined into a single heap. Each of the following sub-parts provides a different method for merging the heaps, and you are required to calculate the large O running time for each method. We build a new linked list, L, that is empty. We continually remove the highest priority element from each of the k piles hi and insert it at the beginning of L, until hi is empty. The items of L are then transferred to an array and the array is heapified. What is the worst-case running time for a huge O?

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A: Merge  sоrt  is  mоre  effiсient  аnd  wоrks  fаster  thаn  quiсk  sоrt  in  саse  оf  lаrger  аrrаy…

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