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DSA · Theory

Binary Search Tree vs Ternary Search Tree

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Theory

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Binary Search Tree vs Ternary Search Tree

Binary Search Tree vs Ternary Search Tree 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 Binary Search Tree vs Ternary Search Tree.

From the example next to this theory: Binary Search Tree vs Ternary Search Tree — binary search halves a sorted array each step — O(log n).

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

Viva — what is Binary Search Tree vs Ternary Search Tree? Then show left < root < right. Then name the trap.

Diagram
      8
     / \
    3   10
   / \
  1   6
Exam tip

What is Binary Search Tree vs Ternary Search Tree? Show this: left < root < right. Trap: unbalanced BST becoming a list.

Example

def binary_search(arr, target):
    lo, hi = 0, len(arr) - 1
    while lo <= hi:
        mid = (lo + hi) // 2
        if arr[mid] == target:
            return mid
        if arr[mid] < target:
            lo = mid + 1
        else:
            hi = mid - 1
    return -1

print(binary_search([1, 3, 5, 7, 9], 7))

Binary Search Tree vs Ternary Search Tree — binary search halves a sorted array each step — O(log n).

Short notes

  • DefBinary Search Tree vs Ternary Search Tree — folder on disk in a file explorer.
  • Ruleleft < root < right
  • Trapunbalanced BST becoming a list
  • Usea file explorer

Questions

1

What is Binary Search Tree vs Ternary Search Tree?

2

Give one small example of Binary Search Tree vs Ternary Search Tree.

3

What mistake do beginners make with Binary Search Tree vs Ternary Search Tree?

4

Where do you use Binary Search Tree vs Ternary Search Tree?

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