Merge Sort (AQA GCSE Computer Science)

Revision Note

Test yourself

What is a sorting algorithm?

  • Sorting algorithms are precise step-by-step instructions that a computer can follow to efficiently sort data in massive datasets

  • Two common sorting algorithms are:

    • Bubble sort

    • Merge sort

Merge Sort

What is a merge sort?

  • A merge sort is a sorting algorithm that uses the 'divide and conquer' strategy of dividing a dataset into smaller sub-datasets and merging them back together in the correct order

How do you perform a merge sort?

Table detailing three steps for dataset processing: 1. Divide dataset repeatedly in half. 2. Merge pairs of sub-datasets by comparing first values. 3. Repeat step 2 until one dataset.

Example

  • Perform a merge sort on the following dataset

Table showing the merge sort algorithm. The dataset [7, 4, 1, 2, 6, 3, 8, 5] is repeatedly divided, then merged back together by comparing values, resulting in a sorted array.

Examiner Tip

In the exam, the divide stage could already be done for you and you would only need to demonstrate the conquer stage!

A Merge Sort in Python

# List of numbers to perform merge sort on

numbers = [7, 4, 1, 2, 6, 3, 8, 5]


# Merge function to merge two sorted lists

def merge(left, right):

    merged = []

    left_index, right_index = 0, 0


    # Merge the two sorted lists

    while left_index < len(left) and right_index < len(right):

        if left[left_index] < right[right_index]:

            merged.append(left[left_index])

            left_index += 1

    else:

        merged.append(right[right_index])

        right_index += 1


    # Append remaining elements from left or right sublist if there are any remaining elements in the left sublist

    while left_index < len(left):

        merged.append(left[left_index])

        left_index += 1


    # If there are any remaining elements in the right sublist

    while right_index < len(right):

        merged.append(right[right_index])

        right_index += 1

   
    return merged


# Merge sort implementation without using a separate function

def merge_sort(arr):


    # Checks to see if the list has 1 or 0 elements, it's already sorted

    if len(arr) <= 1:

        return arr


    # Split the list into two halves

    mid = len(arr) // 2

    left_half = merge_sort(arr[:mid])  # Split and recursively sort left half

    right_half = merge_sort(arr[mid:])  # Split and recursively sort right half


    # Merge the sorted halves

    return merge(left_half, right_half)


# Perform merge sort

sorted_numbers = merge_sort(numbers)

print("Sorted numbers:", sorted_numbers)

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James Woodhouse

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James graduated from the University of Sunderland with a degree in ICT and Computing education. He has over 14 years of experience both teaching and leading in Computer Science, specialising in teaching GCSE and A-level. James has held various leadership roles, including Head of Computer Science and coordinator positions for Key Stage 3 and Key Stage 4. James has a keen interest in networking security and technologies aimed at preventing security breaches.

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