Problem Description
In an infinite 2D grid, every integer coordinate has an apple tree that produces |i| + |j| apples at position (i, j). You want to buy an axis-aligned square plot of land centered at (0, 0) that collects at least a given number of apples (the sum from all trees inside or on the perimeter of the square). The task is to find the minimum perimeter of such a square plot.
Key Insights
- The plot is a square centered at (0, 0) with corners at (k, k), (k, -k), (-k, k), and (-k, -k) where k is the half-side length.
- A tree at coordinate (i, j) provides |i| + |j| apples.
- Due to symmetry, the sum of apples in the square with |i|, |j| ≤ k can be computed efficiently using a derived formula.
- The total number is given by: S(k) = 2 * (2k + 1) * k * (k + 1).
- Since S(k) is monotonically increasing with k, binary search can be used to find the smallest k such that S(k) is at least neededApples.
Space and Time Complexity
Time Complexity: O(log X), where X is the value of k that meets the condition.
Space Complexity: O(1)
Solution
We first derive that the sum of apples, S, in the square plot with half-length k is:
S(k) = 2 * (2k + 1) * k * (k + 1)
This formula comes from summing |i| and |j| over all points in the square and using symmetry. Our goal is to find the smallest integer k for which S(k) ≥ neededApples, and then the perimeter of the square plot is 8 * k (since each side is of length 2k).
The solution uses a binary search:
- Set initial boundaries: left = 0 and right as an upper bound (found by doubling until S(right) is at least neededApples).
- Compute mid = (left + right) / 2.
- If S(mid) is greater than or equal to neededApples, store mid as a candidate and search for a smaller k (set right = mid – 1).
- Otherwise, continue the search with left = mid + 1.
- Finally, output the perimeter which is 8 * k.
This approach efficiently finds the minimal k needed and, consequently, the minimal perimeter.