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Construct Quad Tree

Medium
59.7%
Updated 6/1/2025

Construct Quad Tree

What is this problem about?

The Construct Quad Tree interview question involves converting a 2D N x N binary matrix (where N is a power of 2) into a Quad Tree. A Quad Tree is a tree data structure where each internal node has exactly four children: topLeft, topRight, bottomLeft, and bottomRight. If all values in a grid section are the same, that section becomes a leaf node.

Why is this asked in interviews?

Companies like Palantir and Google use the Construct Quad Tree coding problem to test a candidate's proficiency with multidimensional data and divide-and-conquer strategies. It's a classic representation of image compression techniques and spatial indexing.

Algorithmic pattern used

This utilizes the Array, Matrix, Divide and Conquer, Tree interview pattern.

  1. Check if all values in the current N x N matrix are the same.
  2. If yes, return a leaf node with that value.
  3. If no, create an internal node and recursively split the matrix into four quadrants (N/2 x N/2).
  4. Assign the results of the recursive calls to the four children.

Example explanation

Grid:

1 1
1 1

All values are 1. Create a leaf node with isLeaf = True and val = 1.

Grid:

1 1 0 0
1 1 0 0
0 0 1 1
0 0 1 1
  1. Not all same. Split into 4 quadrants.
  2. Top-left is all 1s -> Leaf(1).
  3. Top-right is all 0s -> Leaf(0).
  4. Bottom-left is all 0s -> Leaf(0).
  5. Bottom-right is all 1s -> Leaf(1).
  6. Root is an internal node with these 4 leaves.

Common mistakes candidates make

  • Inefficient "all same" check: Scanning the entire matrix repeatedly in every level of recursion, leading to O(N^2 log N) or worse. Using 2D prefix sums can optimize this check to O(1).
  • Index errors: Messing up the boundaries when splitting the grid into four quadrants.
  • Base case: Forgetting that a 1 x 1 grid is always a leaf node.

Interview preparation tip

For any recursive matrix problem, clearly define your base cases and the boundary variables (r1, r2, c1, c2). Writing a helper function to check if a range is uniform will make your code much more readable.

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