Question
The sorting algorithm Mergesort is shown below in Python. It sorts a list of numbers U using a recursive divide-and-conquer algorithm, then returns a sorted
The sorting algorithm Mergesort is shown below in Python. It sorts a list of numbers U using a recursive divide-and-conquer algorithm, then returns a sorted list S. The function head returns the first element of a nonempty list Q, and the function tail returns all but the first element of a nonempty list Q. Lines 0607 detect if U is trivially sorted. Lines 0916 split U into two halves, L and R, of approximately equal lengths. Lines 1718 recursively sort L and R. Lines 1928 merge the sorted L and R back into a sorted list S.
01 def head(Q): 02 return Q[0] 03 def tail(Q): 04 return Q[1:] 05 def mergesort(U): 06 if U == [] or tail(U) == []: 07 return U 08 else: 09 L = [] 10 R = [] 11 while U != [] and tail(U) != []: 12 L = L + [head(U)] 13 U = tail(U) 14 R = R + [head(U)] 15 U = tail(U) 16 L = L + U 17 L = mergesort(L) 18 R = mergesort(R) 19 S = [] 20 while L != [] and R != []: 21 if head(L) <= head(R): 22 S = S + [head(L)] 23 L = tail(L) 24 else: 25 S = S + [head(R)] 26 R = tail(R) 27 S = S + L + R 28 return S
Here are some examples of how head, tail and mergesort work, where the arrow means returns.
head([3]) |
| 3 |
tail([3]) |
|
|
head([2, 0, 1]) |
| 2 |
tail([2, 0, 1]) |
| [0, 1] |
mergesort([]) |
| [] |
mergesort([1]) |
| [1] |
mergesort([1, 0]) |
| [0, 1] |
mergesort([4, 3, 2, 1, 0]) |
| [0, 1, 2, 3, 4] |
1. Prove that mergesorts splitting loop is correct (lines 0916). Do not prove that the rest of mergesort is correct. You must use a loop invariant. Your proof must have three parts: initialization, maintenance, and termination.
1a. | Find a loop invariant for the splitting loop. | |
1b. | Use your loop invariant to prove the initialization part. | |
1c. | Use your loop invariant to prove the maintenance part. | |
1d. | Use your loop invariant to prove the termination part. |
2. Find the worst case run time of mergesorts merging loop (lines 1928). Do not find the run time for the rest of mergesort. Do not use O, , or . Your answer must define T(n) where n is the number of elements to to be sorted. Asume that the run times of lines 19, 20 ..., 28 are constants c, c ..., c, respectively. All these constants are greater than 0, and some of them may be equal. Also assume that head, tail, and list concatenation all work in constant time.
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