DSA · Theory

AVL Tree Time Complexity

Theory

261/810

AVL Tree Time Complexity

AVL Tree Time Complexity is a DSA topic. In plain words you use it for folder on disk in a file explorer. Don’t start with a slogan — start with that picture.

Smallest example: left < root < right. Type it, run it, and say what you see. If you can do that from memory, you know AVL Tree Time Complexity.

From the example next to this theory: AVL Tree Time Complexity — big-O describes how work grows with input size — ignore constants.

Trap — unbalanced BST becoming a list. Fix that before you talk about advanced DSA.

Viva — what is AVL Tree Time Complexity? Then show left < root < right. Then name the trap.

Exam tip

What is AVL Tree Time Complexity? Show this: left < root < right. Trap: unbalanced BST becoming a list.

Example

def demo(n):
    # O(1)
    x = n + 1
    # O(n)
    total = sum(range(n))
    # O(n^2)
    pairs = 0
    for i in range(n):
        for j in range(n):
            pairs += 1
    return x, total, pairs

print(demo(3))

AVL Tree Time Complexity — big-O describes how work grows with input size — ignore constants.

Short notes

DefAVL Tree Time Complexity — folder on disk in a file explorer.
Ruleleft < root < right
Trapunbalanced BST becoming a list
Usea file explorer

DSA · Theory

AVL Tree Time Complexity

← All stacks

Theory

261/810

AVL Tree Time Complexity

AVL Tree Time Complexity is a DSA topic. In plain words you use it for folder on disk in a file explorer. Don’t start with a slogan — start with that picture.

Smallest example: left < root < right. Type it, run it, and say what you see. If you can do that from memory, you know AVL Tree Time Complexity.

From the example next to this theory: AVL Tree Time Complexity — big-O describes how work grows with input size — ignore constants.

Trap — unbalanced BST becoming a list. Fix that before you talk about advanced DSA.

Viva — what is AVL Tree Time Complexity? Then show left < root < right. Then name the trap.

Exam tip

What is AVL Tree Time Complexity? Show this: left < root < right. Trap: unbalanced BST becoming a list.

Example

def demo(n):
    # O(1)
    x = n + 1
    # O(n)
    total = sum(range(n))
    # O(n^2)
    pairs = 0
    for i in range(n):
        for j in range(n):
            pairs += 1
    return x, total, pairs

print(demo(3))

AVL Tree Time Complexity — big-O describes how work grows with input size — ignore constants.

Short notes

DefAVL Tree Time Complexity — folder on disk in a file explorer.
Ruleleft < root < right
Trapunbalanced BST becoming a list
Usea file explorer

AVL Tree Time Complexity

Example

Short notes

Questions

AVL Tree Time Complexity

Example

Short notes

Questions