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HomeLeetCode ProblemsMinimum Rectangles to Cover Points
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How to Solve Minimum Rectangles to Cover Points Problem

Master the Minimum Rectangles to Cover Points LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Medium#3111
LeetCode Problem

Minimum Rectangles to Cover Points

You are given a 2D integer array points, where points[i] = [xi, yi]. You are also given an integer w. Your task is to cover all the given points with rectangles. Each rectangle has its lower end at some point (x1, 0) and its upper end at some point (x2, y2), where x1 <= x2, y2 >= 0, and the condition x2 - x1 <= w must be satisfied for each rectangle. A point is considered covered by a rectangle if it lies within or on the boundary of the rectangle. Return an integer denoting the minimum number of rectangles needed so that each point is covered by at least one rectangle. Note: A point may be covered by more than one rectangle.

ArrayGreedySorting

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Problem Breakdown

Understanding the Minimum Rectangles to Cover Points Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

You are given a 2D integer array points, where points[i] = [xi, yi]. You are also given an integer w. Your task is to cover all the given points with rectangles. Each rectangle has its lower end at some point (x1, 0) and its upper end at some point (x2, y2), where x1 <= x2, y2 >= 0, and the condition x2 - x1 <= w must be satisfied for each rectangle. A point is considered covered by a rectangle if it lies within or on the boundary of the rectangle. Return an integer denoting the minimum number of rectangles needed so that each point is covered by at least one rectangle. Note: A point may be covered by more than one rectangle.

MediumProblem #3111
LeetCode

Minimum Rectangles to Cover Points

Related Topics

ArrayGreedySorting

How PhantomCodeAI Helps

Get real-time assistance for Minimum Rectangles to Cover Points problems during coding interviews. PhantomCodeAI provides instant solutions and explanations.

Examples

# Example 1

Input
points = [[2,1],[1,0],[1,4],[1,8],[3,5],[4,6]], w = 1
Output
2

# Example 2

Input
points = [[0,0],[1,1],[2,2],[3,3],[4,4],[5,5],[6,6]], w = 2
Output
3

# Example 3

Input
points = [[2,3],[1,2]], w = 0
Output
2

Constraints

1 <= points.length <= 105
points[i].length == 2
0 <= xi == points[i][0] <= 109
0 <= yi == points[i][1] <= 109
0 <= w <= 109
All pairs (xi, yi) are distinct.

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Solve Minimum Rectangles to Cover Points — You are given a 2D integer array points, where points[i] = [xi, yi]. You are als...

Here's the optimal approach using Array:

def solve(input):
# Optimal O(n) solution
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Time: O(n)  |  Space: O(n)

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Undetectability Checklist

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Undetectability and technical details

Our native desktop architecture avoids common detection vectors used by browser extensions. We provide a clear checklist so you can run basic checks and confirm the app will be invisible.

Platform compatibility and limitations

We work with Zoom, HackerRank, CodeSignal, CoderPad and other web-based platforms. Check the compatibility note and request a browser link if a specific desktop app is unsupported.

Frequently Asked Questions

Common questions about solving Minimum Rectangles to Cover Points and using PhantomCodeAI during coding interviews.

How does PhantomCodeAI help with LeetCode problems during a coding interview?
PhantomCodeAI reads the problem from a screenshot or listens to it via audio, then generates a complete solution with a step-by-step approach and time/space complexity, so you can focus on explaining your reasoning rather than getting stuck on implementation.
Which programming languages does PhantomCodeAI support?
11 languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set a preferred language to get idiomatic solutions.
Does PhantomCodeAI work with HackerRank, CodeSignal, and CoderPad?
Yes — it works alongside LeetCode, HackerRank, CodeSignal, CoderPad, and HackerEarth, plus any browser-based coding environment.
Can PhantomCodeAI handle follow-up questions and modifications?
Yes. Capture the modified problem by screenshot or audio and get an updated solution within seconds, including new edge cases and optimizations.
Is PhantomCodeAI detectable during live interviews?
PhantomCodeAI runs as a native desktop overlay that does not appear in screen shares, recordings, or proctoring software, and works with Zoom, Google Meet, Microsoft Teams, and major coding platforms.
Should I still practice these problems on my own first?
Yes. The most durable preparation is solving problems unaided first, then using AI afterward to review your approach, complexity, and missed edge cases — use it to debrief and learn, not to skip the reps.

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