Bucket Sort Algorithm

Have you ever needed to sort a large collection of data quickly and efficiently? Look no further than the Bucket Sort algorithm! Bucket Sort is an efficient sorting algorithm that can be used when the input data is uniformly distributed over a range.

How does Bucket Sort work?

Bucket Sort works by dividing the input into a fixed number of buckets and distributing the elements of the input into these buckets according to their values. Each bucket is then sorted individually, either using another sorting algorithm or recursively applying the Bucket Sort algorithm.

Here’s a step-by-step breakdown of the Bucket Sort algorithm:

  1. Determine the range of the input data and the number of buckets to be used.
  2. Create empty buckets with equal ranges.
  3. Distribute the input elements into the buckets based on their values.
  4. Sort each bucket individually using another sorting algorithm or recursively applying the Bucket Sort algorithm.
  5. Concatenate the sorted buckets to get the final sorted output.

Example Implementation in Python:

def bucket_sort(arr):
    # Determine the range of input data and number of buckets
    min_value = min(arr)
    max_value = max(arr)
    num_buckets = len(arr)

    # Create empty buckets
    buckets = [[] for _ in range(num_buckets)]

    # Distribute elements into buckets
    for num in arr:
        index = int((num - min_value) * (num_buckets - 1) / (max_value - min_value))
        buckets[index].append(num)

    # Sort each bucket individually
    for bucket in buckets:
        bucket.sort()

    # Concatenate the sorted buckets
    sorted_arr = [num for bucket in buckets for num in bucket]

    return sorted_arr

Advantages and Limitations:

The Bucket Sort algorithm has several advantages:

However, it also has certain limitations:

Overall, Bucket Sort is a great option for sorting uniformly distributed data efficiently. Consider using it in your next sorting task to improve performance!

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