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Big O Notation and Algorithm Efficiency

Space complexity and sorting in place

  • 3 things to know
  • Component 1

Overview

Space complexity of a bubble sort, space complexity of an insertion sort and space complexity of a quicksort.

What you need to know

Answer each one before you reveal it.

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Key term

Compare the memory an insertion sort and a quicksort need.

Key term

What does it mean to say a sorting algorithm works in place?

Key term

State the space complexity of a bubble sort.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What does it mean to say a sorting algorithm works in place?

    Model answer

    An in-place algorithm rearranges the data within the original array. Only a fixed small amount of extra memory is needed.

  2. 2

    State the space complexity of a bubble sort.

    Model answer

    A bubble sort is O(1) in space. The algorithm needs only one temporary variable to hold a value during a swap.

  3. 3

    State the space complexity of an insertion sort.

    Model answer

    An insertion sort is O(1) in space, because the item being placed is held in one temporary variable.

  4. 4

    State the space complexity of a quicksort.

    Model answer

    A quicksort partitions in place but needs stack space for its recursive calls. The space complexity is O(log n) on average.

  5. 5

    Why does a recursive algorithm consume memory even when it stores no new data?

    Model answer

    Each recursive call places a stack frame on the call stack holding its parameters and return address. The frames are only released as the calls unwind.

  6. 6

    What is the space complexity of a quicksort in its worst case?

    Model answer

    The worst case is O(n), because the recursion reaches a depth of n when every partition is maximally unbalanced.

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