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DSA · Theory

AVL Tree

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Theory

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AVL Tree

If you can teach AVL Tree using folder on disk, you know it. If you only know the heading, you don’t.

AVL Tree order — meaning → left < root < right → one limit. Dumping ten features helps nobody.

Without AVL Tree, a file explorer gets messy and folder on disk is hard to trust.

AVL Tree shows up in a file explorer. Name folder on disk, not “a real-world scenario”.

Don’t do this with AVL Tree — unbalanced BST becoming a list. Interviewers spot it in ten seconds.

After AVL Tree, Asha should still remember unbalanced BST becoming a list.

Close AVL Tree with — “If I skip it, folder on disk goes wrong like this: unbalanced BST becoming a list.”

Exam tip

Say AVL Tree in one breath, then left < root < right, then unbalanced BST becoming a list.

Example

# AVL Tree
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)

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

Short notes

  • DefAVL Tree — Asha uses it for folder on disk in a file explorer.
  • RuleAVL Tree → left < root < right.
  • RememberAVL Tree + time vs memory (a file explorer).
  • UseAVL Tree in a file explorer (folder on disk).
  • TrapAVL Tree — unbalanced BST becoming a list.
  • ExAVL Tree → folder on disk.

Questions

1

What is AVL Tree? Teach it with folder on disk.

2

Name one DSA screen/job that needs AVL Tree.

3

Viva: one wrong answer people give for AVL Tree.

4

Change one input on folder on disk. Predict the new result.

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