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How to Solve Minimum Obstacle Removal to Reach Corner Problem
Master the Minimum Obstacle Removal to Reach Corner LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsHard#2290
LeetCode ProblemMinimum Obstacle Removal to Reach Corner
You are given a 0-indexed 2D integer array grid of size m x n. Each cell has one of two values: You can move up, down, left, or right from and to an empty cell. Return the minimum number of obstacles to remove so you can move from the upper left corner (0, 0) to the lower right corner (m - 1, n - 1).
ArrayBreadth-First SearchGraphHeap (Priority Queue)MatrixShortest Path
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Problem Breakdown
Understanding the Minimum Obstacle Removal to Reach Corner Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given a 0-indexed 2D integer array grid of size m x n. Each cell has one of two values: You can move up, down, left, or right from and to an empty cell. Return the minimum number of obstacles to remove so you can move from the upper left corner (0, 0) to the lower right corner (m - 1, n - 1).
HardProblem #2290
LeetCodeMinimum Obstacle Removal to Reach Corner
Related Topics
ArrayBreadth-First SearchGraphHeap (Priority Queue)MatrixShortest Path
How Phantom Code Helps
Get real-time assistance for Minimum Obstacle Removal to Reach Corner problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
grid = [[0,1,1],[1,1,0],[1,1,0]]
Output
2
# Example 2
Input
grid = [[0,1,0,0,0],[0,1,0,1,0],[0,0,0,1,0]]
Output
0
Constraints
m == grid.length
n == grid[i].length
1 <= m, n <= 105
2 <= m * n <= 105
grid[i][j] is either 0 or 1.
grid[0][0] == grid[m - 1][n - 1] == 0
How Phantom Code Helps with LeetCode Problems
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Solve Minimum Obstacle Removal to Reach Corner — You are given a 0-indexed 2D integer array grid of size m x n. Each cell has one...
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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Undetectability Checklist
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Platform Compatibility
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HackerRank
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CoderPad
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Undetectability and technical details
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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 Obstacle Removal to Reach Corner and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Minimum Obstacle Removal to Reach Corner 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 Obstacle Removal to Reach Corner?
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 Obstacle Removal to Reach Corner?
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 Obstacle Removal to Reach Corner 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 Obstacle Removal to Reach Corner 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 Obstacle Removal to Reach Corner 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 Obstacle Removal to Reach Corner 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 Obstacle Removal to Reach Corner 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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