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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.

Phantom Code generates complete solutions and debugging hints that you can use while explaining your approach, so you stay calm and in control.

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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 Phantom Code Helps

Get real-time assistance for Minimum Rectangles to Cover Points problems during coding interviews. Phantom Code 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.

How Phantom Code Helps with LeetCode Problems

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Watch how Phantom Code helps solve LeetCode problems during live interviews

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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

Run compatibility test before interviews
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Platform Compatibility

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User results and traction

Thousands of developers use Phantom Code. Social proof signals that this approach helps real candidates land offers across a range of companies.

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 Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Minimum Rectangles to Cover Points during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Minimum Rectangles to Cover Points?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Minimum Rectangles to Cover Points?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Minimum Rectangles to Cover Points type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Minimum Rectangles to Cover Points interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Minimum Rectangles to Cover Points during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Minimum Rectangles to Cover Points style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Minimum Rectangles to Cover Points interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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