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Examine Top-Quality Algorithm Assignment Samples
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| Assignment Type | Turnaround Time | Price (USD) |
|---|---|---|
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- Design and Analysis of Algorithms Assignment Help
- Implementation of Merge Sort Algorithm
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Design and Analysis of Algorithms Assignment Help
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Implementation of Merge Sort Algorithm
One popular algorithm often encountered in Design and Analysis of Algorithms assignments is the Merge Sort. Merge Sort is a classic divide-and-conquer algorithm known for its efficiency in sorting arrays or lists. Here's how it works:
def merge_sort(arr):
if len(arr) > 1:
mid = len(arr) // 2 # Finding the mid of the array
left_half = arr[:mid] # Dividing the array elements into 2 halves
right_half = arr[mid:]
merge_sort(left_half) # Sorting the first half
merge_sort(right_half) # Sorting the second half
i = j = k = 0
# Merge the temporary arrays back into arr
while i < len(left_half) and j < len(right_half):
if left_half[i] < right_half[j]:
arr[k] = left_half[i]
i += 1
else:
arr[k] = right_half[j]
j += 1
k += 1
# Checking if any element was left
while i < len(left_half):
arr[k] = left_half[i]
i += 1
k += 1
while j < len(right_half):
arr[k] = right_half[j]
j += 1
k += 1
return arr
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