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Examine Top-Quality Algorithm Assignment Samples
Browse our samples to gain insights into expertly crafted solutions for Design and Analysis of Algorithms assignments. Our curated examples, prepared by Design and Analysis of Algorithms experts, offer a clear understanding of complex algorithms and their applications. Whether you need help with dynamic programming, graph algorithms, or computational complexity, our samples provide valuable guidance to enhance your learning and academic performance. Discover practical solutions and refine your algorithm analysis skills with our comprehensive samples.
Data Structures and Algorithms
Data Structures and Algorithms
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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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