How to Solve Binary Tree Cameras Leetcode Problem - Interview Coder Guide
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How to Solve Binary Tree Cameras Problem

Master the Binary Tree Cameras LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#1008
LeetCode Problem

Binary Tree Cameras

You are given the root of a binary tree. We install cameras on the tree nodes where each camera at a node can monitor its parent, itself, and its immediate children. Return the minimum number of camer...

Dynamic ProgrammingTreeDepth-First Search+1 more

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Problem Breakdown

Understanding the Binary Tree Cameras Problem

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

Problem Statement

You are given the root of a binary tree. We install cameras on the tree nodes where each camera at a node can monitor its parent, itself, and its immediate children. Return the minimum number of cameras needed to monitor all nodes of the tree.

HardProblem #1008
LeetCode

Binary Tree Cameras

Related Topics
Dynamic ProgrammingTreeDepth-First SearchBinary Tree
How Interview Coder Helps

Get real-time assistance for Binary Tree Cameras problems during coding interviews. Interview Coder provides instant solutions and explanations.

Examples

Example 1
INPUT
root = [0,0,null,0,0]
OUTPUT
1
EXPLANATION

One camera is enough to monitor all nodes if placed as shown.

Example 2
INPUT
root = [0,0,null,0,null,0,null,null,0]
OUTPUT
2
EXPLANATION

At least two cameras are needed to monitor all nodes of the tree. The above image shows one of the valid configurations of camera placement.

Constraints

The number of nodes in the tree is in the range [1, 1000].
Node.val == 0

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Frequently Asked Questions

Common questions about solving Binary Tree Cameras and using Interview Coder during coding interviews.

Interview Coder 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.

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