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How to Solve K-th Nearest Obstacle Queries Problem
Master the K-th Nearest Obstacle Queries LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#3275
LeetCode ProblemK-th Nearest Obstacle Queries
There is an infinite 2D plane. You are given a positive integer k. You are also given a 2D array queries, which contains the following queries: After each query, you need to find the distance of the kth nearest obstacle from the origin. Return an integer array results where results[i] denotes the kth nearest obstacle after query i, or results[i] == -1 if there are less than k obstacles. Note that initially there are no obstacles anywhere. The distance of an obstacle at coordinate (x, y) from the origin is given by |x| + |y|.
ArrayHeap (Priority Queue)
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Problem Breakdown
Understanding the K-th Nearest Obstacle Queries Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
There is an infinite 2D plane. You are given a positive integer k. You are also given a 2D array queries, which contains the following queries: After each query, you need to find the distance of the kth nearest obstacle from the origin. Return an integer array results where results[i] denotes the kth nearest obstacle after query i, or results[i] == -1 if there are less than k obstacles. Note that initially there are no obstacles anywhere. The distance of an obstacle at coordinate (x, y) from the origin is given by |x| + |y|.
MediumProblem #3275
LeetCodeK-th Nearest Obstacle Queries
Related Topics
ArrayHeap (Priority Queue)
How Phantom Code Helps
Get real-time assistance for K-th Nearest Obstacle Queries problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
queries = [[1,2],[3,4],[2,3],[-3,0]], k = 2
Output
[-1,7,5,3]
# Example 2
Input
queries = [[5,5],[4,4],[3,3]], k = 1
Output
[10,8,6]
Constraints
1 <= queries.length <= 2 * 105
All queries[i] are unique.
-109 <= queries[i][0], queries[i][1] <= 109
1 <= k <= 105
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Solve K-th Nearest Obstacle Queries — There is an infinite 2D plane. You are given a positive integer k. You are also ...
Here's the optimal approach using Array:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving K-th Nearest Obstacle Queries and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like K-th Nearest Obstacle Queries 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 K-th Nearest Obstacle Queries?
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 K-th Nearest Obstacle Queries?
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 K-th Nearest Obstacle Queries 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 K-th Nearest Obstacle Queries 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 K-th Nearest Obstacle Queries 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 K-th Nearest Obstacle Queries 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 K-th Nearest Obstacle Queries 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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