Algorithm Visualiser by ChechuDEV

Odd-Even 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 odd-even sort works

Odd-even sort alternates two phases. The odd phase compares and swaps the pairs (1,2), (3,4), ... and the even phase does the same for (0,1), (2,3), ... It stops when a full round makes no swap.

Read more

Every pair inside a phase is independent, so on parallel hardware each phase takes constant time. Run sequentially, as here, it is a bubble sort variant with O(n²) comparisons.

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.