LeetCode Problem #836 — Rectangle Overlap Solve LeetCode Rectangle Overlap using JavaScript and Math & Logic. This solution finds the optimal result using Mathematical Simulation & Modular Arithmetic in O(n) time.
| Property | Value |
|---|---|
| Problem | Rectangle Overlap |
| LeetCode | #836 |
| Difficulty | Easy |
| Language | JavaScript |
| Algorithm | Mathematical Simulation & Modular Arithmetic |
| Data Structure | Primitive Types |
| Pattern | Math & Logic |
| Time Complexity | O(n) |
| Space Complexity | O(1) |
An axis-aligned rectangle is represented as a list [x1, y1, x2, y2] , where (x1, y1) is the coordinate of its bottom-left corner, and (x2, y2) is the coordinate of its top-right corner. Its top and bottom edges are parallel to the X-axis, and its left and right edges are parallel to the Y-axis.
Leverage Math & Logic with Primitive Types to process inputs efficiently and achieve optimal time and space complexity.
The code checks for overlap by verifying that neither rectangle is entirely to the left, right, above, or below the other. This is equivalent to checking that the intervals overlap in both dimensions:
rec1[0] < rec2[2]: rec1's left edge is to the left of rec2's right edge.rec2[0] < rec1[2]: rec2's left edge is to the left of rec1's right edge.rec1[1] < rec2[3]: rec1's bottom edge is below rec2's top edge.rec2[1] < rec1[3]: rec2's bottom edge is below rec1's top edge.
If all four conditions are true, the rectangles overlap. Time and space complexity are both
- Initialize state variables / data structure (Primitive Types).
- Process elements sequentially using Mathematical Simulation & Modular Arithmetic.
- Validate boundary conditions and return optimal result.
Consider the standard input for Rectangle Overlap. Applying Mathematical Simulation & Modular Arithmetic yields the target result step by step.
- Time Complexity: O(n)
- Space Complexity: O(1)
Math & Logic
- Math
- Simulation
JavaScript
By utilizing Math & Logic, each element is processed efficiently, ensuring optimal performance while avoiding unnecessary re-computations.
- Missing edge cases (empty inputs, boundary limits, negative values).
- Off-by-one errors in loop conditions.
- TLE due to suboptimal data structure choices.
- Tests: Fundamental DSA concepts, problem analysis, and edge-case handling.
- Follow-up: How would you scale this solution for large input streams?