Algorithm Visualiser by ChechuDEV

Gnome Sort

  • Ω( n )
  • Θ( n2 )
  • O( n2 )
  • space O( 1 )
Array
Comparator strip Index down, time to the right
100 elements
×20 steps/frame

Comparisons 1
—
Reads 2
—
Writes 2
—
Swaps 3
—
Real time 4
—
Visual time 4
—
  1. Comparisons count only element-against-element checks; loop and index checks are never counted.
  2. Reads and writes include reads and writes to helper buffers (merge, counting, radix, bucket and tim sort).
  3. A swap counts once, as a swap. It is never also counted as a read or a write.
  4. Real time is the average time of the counted sort on this device over repeated runs, measured once before playback and independent of animation speed. Visual time is the time spent animating, excluding pauses.

How gnome sort works

Gnome sort walks along the array like a garden gnome sorting flower pots. If the current element is in order with the one before it, the gnome steps forward. Otherwise it swaps them and steps back.

Read more

It needs no nested loops, only a single position, and behaves like insertion sort with swaps instead of shifts. It is simple but slow: O(n²) comparisons on average.

Big O notation
Best time Ω( n ) good
Average time Θ( n2 ) poor
Worst time O( n2 ) poor
Worst space O( 1 ) good

Big O notation gives the lower, average and upper bounds of an algorithm. Time complexity bounds the number of operations; space complexity bounds the extra memory it uses.