AlgorithmsStudy Notes

Sorting Algorithm Comparison

Part of Binary SearchGCSE Computer Science

This study notes covers Sorting Algorithm Comparison within Binary Search for GCSE Computer Science. Revise Binary Search in Algorithms for GCSE Computer Science with 15 exam-style questions and 10 flashcards. This topic appears less often, but it can still be a useful differentiator on mixed-topic papers. It is section 4 of 8 in this topic. Use this study notes to connect the idea to the wider topic before moving on to questions and flashcards.

Topic position

Section 4 of 8

Practice

15 questions

Recall

10 flashcards

Sorting Algorithm Comparison

Algorithm How it Works Complexity Good For
Bubble Sort Compare adjacent pairs, swap if wrong order, repeat O(n²) Small lists, nearly sorted data
Insertion Sort Insert each element into correct position in sorted portion O(n²) Small lists, nearly sorted data
Merge Sort Divide list in half, sort each half, merge together O(n log n) Large lists, guaranteed performance

Keep building this topic

Read this section alongside the surrounding pages in Binary Search. That gives you the full topic sequence instead of a single isolated revision point.

Practice Questions for Binary Search

Which of the following is a requirement before binary search can be used?

  • A. The list must contain an even number of items
  • B. The list must be sorted in order
  • C. The list must be stored in a 2D array
  • D. The target value must be in the first half of the list
1 markfoundation

Describe how a binary search algorithm finds a target value in a sorted list.

3 marksstandard

Quick Recall Flashcards

What is the time complexity of binary search?
O(log n) - logarithmic time
What technique does binary search use?
Divide and conquer - repeatedly halves the search space

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