Consider the following variant of Mergesort. If the array has more thantwo elements, it recursively sorts the first two-third and the last one-third. Then, it mergesthe first two-third with the last one-third. If the array has at most two elements, then ittrivially sorts the array. For completeness, here is the pseudocode for sorting the arrayA[l..r]. Write a recurrence relation for the worst-case running time of Newsort. Solve the recurrencerelation to obtain aΘ-bound on the running time of the algorithm, in terms of the lengthnof the array. You must use the tree method to solve the recurrence. You may also ignorefloors and ceilings in your calculations.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Consider the following variant of Mergesort. If the array has more thantwo elements, it recursively sorts the first two-third and the last one-third. Then, it mergesthe first two-third with the last one-third. If the array has at most two elements, then ittrivially sorts the array. For completeness, here is the pseudocode for sorting the arrayA[l..r].

Write a recurrence relation for the worst-case running time of Newsort. Solve the recurrencerelation to obtain aΘ-bound on the running time of the algorithm, in terms of the lengthnof the array. You must use the tree method to solve the recurrence. You may also ignorefloors and ceilings in your calculations.

 

Input: A, l,r
Result: A sorted in ascending order
1 if r – l+1= 2 and A[l] > A[r] then
swap(A[C], A[r])
exit
4 if r – l +1> 2 then
m+ [(r – l + 1)/3]
NewSort(A, l, l + 2m – 1)
NewSort(A, l + 2m, r)
Merge(A, l, l+ 2m – 1,r)
6
7
Transcribed Image Text:Input: A, l,r Result: A sorted in ascending order 1 if r – l+1= 2 and A[l] > A[r] then swap(A[C], A[r]) exit 4 if r – l +1> 2 then m+ [(r – l + 1)/3] NewSort(A, l, l + 2m – 1) NewSort(A, l + 2m, r) Merge(A, l, l+ 2m – 1,r) 6 7
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