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How to Solve Minimum Absolute Difference Queries Problem
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LeetCode ProblemMinimum Absolute Difference Queries
The minimum absolute difference of an array a is defined as the minimum value of |a[i] - a[j]|, where 0 <= i < j < a.length and a[i] != a[j]. If all elements of a are the same, the minimum absolute difference is -1. You are given an integer array nums and the array queries where queries[i] = [li, ri]. For each query i, compute the minimum absolute difference of the subarray nums[li...ri] containing the elements of nums between the 0-based indices li and ri (inclusive). Return an array ans where ans[i] is the answer to the ith query. A subarray is a contiguous sequence of elements in an array. The value of |x| is defined as:
ArrayHash Table
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Problem Breakdown
Understanding the Minimum Absolute Difference Queries Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
The minimum absolute difference of an array a is defined as the minimum value of |a[i] - a[j]|, where 0 <= i < j < a.length and a[i] != a[j]. If all elements of a are the same, the minimum absolute difference is -1. You are given an integer array nums and the array queries where queries[i] = [li, ri]. For each query i, compute the minimum absolute difference of the subarray nums[li...ri] containing the elements of nums between the 0-based indices li and ri (inclusive). Return an array ans where ans[i] is the answer to the ith query. A subarray is a contiguous sequence of elements in an array. The value of |x| is defined as:
MediumProblem #1906
LeetCodeMinimum Absolute Difference Queries
Related Topics
ArrayHash Table
How Phantom Code Helps
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Examples
# Example 1
Input
nums = [1,3,4,8], queries = [[0,1],[1,2],[2,3],[0,3]]
Output
[2,1,4,1]
# Example 2
Input
nums = [4,5,2,2,7,10], queries = [[2,3],[0,2],[0,5],[3,5]]
Output
[-1,1,1,3]
Constraints
2 <= nums.length <= 105
1 <= nums[i] <= 100
1 <= queries.length <= 2 * 104
0 <= li < ri < nums.length
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Solve Minimum Absolute Difference Queries — The minimum absolute difference of an array a is defined as the minimum value of...
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Frequently Asked Questions
Common questions about solving Minimum Absolute Difference Queries and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Minimum Absolute Difference 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 Minimum Absolute Difference 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 Minimum Absolute Difference 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 Minimum Absolute Difference 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 Minimum Absolute Difference 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 Minimum Absolute Difference Queries during live interviews?
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How does Phantom Code help when I'm struggling with Minimum Absolute Difference 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.
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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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