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DSA · Theory

Bitonic Sort

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Theory

140/810

Bitonic Sort

If you can teach Bitonic Sort using names A→Z, you know it. If you only know the heading, you don’t.

Do Bitonic Sort once by hand. n log n vs n². Change one input. Say the new result out loud.

Skip Bitonic Sort and unstable sort when equal keys matter shows up in the roll list.

Use Bitonic Sort when names A→Z must stay clear. If a simpler DSA step works, use that instead.

If names A→Z breaks under Bitonic Sort, check unstable sort when equal keys matter first.

After Bitonic Sort, Amit should still remember unstable sort when equal keys matter.

One breath for Bitonic Sort, then names A→Z, then unstable sort when equal keys matter. Sit down.

Exam tip

Board: names A→Z. Dry-run Bitonic Sort. Name the trap: unstable sort when equal keys matter.

Example

# Bitonic Sort
data = [4, 1, 3]
print("start", data)
if data[0] > data[1]:
    data[0], data[1] = data[1], data[0]
print("after one step", data)

Bitonic Sort: dry-run [4, 1, 3]. Say the list after one step.

Short notes

  • DefBitonic Sort — Amit uses it for names A→Z in the roll list.
  • RuleBitonic Sort → n log n vs n².
  • RememberBitonic Sort + a dry-run table (the roll list).
  • UseBitonic Sort in the roll list (names A→Z).
  • TrapBitonic Sort — unstable sort when equal keys matter.
  • ExBitonic Sort → names A→Z.

Questions

1

Amit asks: why does Bitonic Sort exist? Use names A→Z.

2

If you skip Bitonic Sort, what breaks in the roll list?

3

What trap does Amit hit with Bitonic Sort?

4

Write the smallest Bitonic Sort step on names A→Z. What happens?

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