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Practice Minimum Cost Tree From Leaf Values

Master the Minimum Cost Tree From Leaf Values LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Medium#1130
LeetCode Problem

Minimum Cost Tree From Leaf Values

Consider binary trees in which every node has either zero or two children, and the leaf values in left-to-right inorder order equal arr. Each internal node has the value obtained by multiplying the largest leaf value in its left subtree by the largest leaf value in its right subtree. Return the smallest possible sum of all internal-node values. The answer is guaranteed to fit in a 32-bit integer.

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Problem Breakdown

Understanding the Minimum Cost Tree From Leaf Values Problem

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

Problem Statement

Consider binary trees in which every node has either zero or two children, and the leaf values in left-to-right inorder order equal arr. Each internal node has the value obtained by multiplying the largest leaf value in its left subtree by the largest leaf value in its right subtree. Return the smallest possible sum of all internal-node values. The answer is guaranteed to fit in a 32-bit integer.

Source: Minimum Cost Tree From Leaf Values on LeetCode. Use the original task for its coding environment and submissions.

MediumProblem #1130
LeetCode

Minimum Cost Tree From Leaf Values

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How PhantomCodeAI Helps

Get real-time assistance for Minimum Cost Tree From Leaf Values problems during coding interviews. PhantomCodeAI provides instant solutions and explanations.

Examples

# Example 1

Input
arr = [6,2,4]
Output
32

# Example 2

Input
arr = [4,11]
Output
44

Constraints

2 <= arr.length <= 40
1 <= arr[i] <= 15
It is guaranteed that the answer fits into a 32-bit signed integer (i.e., it is less than 2^31).

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Frequently Asked Questions

Common questions about solving Minimum Cost Tree From Leaf Values 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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