|
| 1 | +# Separate Squares I (Medium) |
| 2 | + |
| 3 | +**Problem ID:** 3453 |
| 4 | +**Date:** 2026-01-13 |
| 5 | +**Link:** https://leetcode.com/problems/separate-squares-i/ |
| 6 | + |
| 7 | +## Approach |
| 8 | + |
| 9 | +To solve the problem of finding the minimum y-coordinate value of a horizontal line that separates the total area of squares above and below it, we can follow a systematic approach: |
| 10 | + |
| 11 | +### Main Idea: |
| 12 | +The key idea is to utilize a binary search combined with a sweep line technique to efficiently compute the areas above and below a potential horizontal line at various y-coordinates. The goal is to find a y-coordinate where the areas are equal. |
| 13 | + |
| 14 | +### Approach: |
| 15 | +1. **Calculate Total Area**: First, calculate the total area of all squares. This will help in determining the target area for both above and below the line. |
| 16 | + |
| 17 | +2. **Binary Search Setup**: Since the y-coordinates can range significantly (up to \(10^9\)), we can use binary search to efficiently find the y-coordinate. Set the initial search bounds from 0 to the maximum y-coordinate of the squares plus their side lengths. |
| 18 | + |
| 19 | +3. **Area Calculation Function**: For a given y-coordinate (midpoint in binary search), compute the areas above and below the line: |
| 20 | + - For each square, determine the portion of its area that lies above and below the line. This can be done by checking the square's y-coordinate and its height against the current midpoint. |
| 21 | + - Accumulate the areas for all squares to get the total area above and below the line. |
| 22 | + |
| 23 | +4. **Adjust Binary Search**: Compare the areas: |
| 24 | + - If the area above the line is greater than the area below, move the search to lower y-coordinates (i.e., adjust the upper bound). |
| 25 | + - If the area below is greater, move to higher y-coordinates (i.e., adjust the lower bound). |
| 26 | + - Continue this process until the search converges to a point where the areas are approximately equal (within the specified tolerance). |
| 27 | + |
| 28 | +5. **Precision Handling**: Since the problem requires the answer to be accurate within \(10^{-5}\), ensure that the binary search continues until the difference between the lower and upper bounds is less than this threshold. |
| 29 | + |
| 30 | +### Data Structures: |
| 31 | +- A simple list or array to store the squares and their properties (coordinates and side lengths). |
| 32 | +- Variables to track the total area and the areas above and below the line during calculations. |
| 33 | + |
| 34 | +### Complexity: |
| 35 | +- The binary search will run in \(O(\log(\text{max\_y}))\), where \(\text{max\_y}\) is the maximum y-coordinate considered. |
| 36 | +- For each midpoint in the binary search, calculating the areas involves iterating through all squares, which takes \(O(n)\), where \(n\) is the number of squares. |
| 37 | +- Therefore, the overall time complexity is \(O(n \log(\text{max\_y}))\). |
| 38 | + |
| 39 | +This approach efficiently narrows down the potential y-coordinate while ensuring that we accurately compute the areas, handling overlaps as specified in the problem statement. |
0 commit comments