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Fill a Special Grid

Medium
25%
Updated 8/1/2025

Asked by 1 Company

Fill a Special Grid

What is this problem about?

The Fill a Special Grid interview question typically asks you to populate an nimesnn imes n matrix with numbers following a specific set of rules. A common "special grid" requirement is that each row and column must sum to the same value, or that the numbers must follow a "magic square" or "Latin square" property. Another variation involves filling a grid with numbers 1 to n2n^2 in a way that minimizes or maximizes adjacent differences.

Why is this asked in interviews?

Companies like Google ask the Fill a Special Grid coding problem to evaluate your mathematical construction skills and your ability to work with Matrix interview pattern constraints. It tests whether you can derive a deterministic formula for grid placement or if you need to use a search-based approach like backtracking. It evaluates your spatial reasoning and your ability to implement non-trivial indexing logic.

Algorithmic pattern used

Depending on the specific rules, this problem uses Divide and Conquer or Constructive Math.

  1. Constructive Approach: For many special grids (like magic squares), there are known algorithms (e.g., the Siamese method for odd-order magic squares) that place numbers based on their values.
  2. Divide and Conquer: If the grid is large, you might fill smaller sub-grids and then combine them using a specific transformation rule.
  3. Backtracking: If the constraints are small and the rules are complex (like a Sudoku-style grid), a recursive search might be the only way to find a valid filling.

Example explanation

Suppose the rule is to fill a 3imes33 imes 3 grid such that it is a Latin square (each number 1-3 appears exactly once in each row and column).

  1. Row 1: [1, 2, 3]
  2. Row 2: Shift Row 1 by one: [2, 3, 1]
  3. Row 3: Shift Row 2 by one: [3, 1, 2] This simple cyclic shift construction ensures that every column also contains [1, 2, 3] without duplicates.

Common mistakes candidates make

  • Inefficient Search: Using backtracking for a problem that has a simple mathematical construction (O(N^2) vs exponential).
  • Indexing errors: Mistakes in calculating row and col positions, especially when handling "wrap-around" conditions.
  • Ignoring constraints: Failing to verify that both row and column constraints are met simultaneously.

Interview preparation tip

Whenever you encounter a grid-filling problem, look for "cyclic" patterns or "symmetry." Often, the solution involves taking a base sequence and shifting it for each row.

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