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How to Solve Find First and Last Position of Element in Sorted Array Problem
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Medium#34
LeetCode ProblemFind First and Last Position of Element in Sorted Array
Given an array of integers nums sorted in non-decreasing order, find the starting and ending position of a given target value. If target is not found in the array, return [-1, -1]. You must write an algorithm with O(log n) runtime complexity.
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Problem Breakdown
Understanding the Find First and Last Position of Element in Sorted Array Problem
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Problem Statement
Given an array of integers nums sorted in non-decreasing order, find the starting and ending position of a given target value. If target is not found in the array, return [-1, -1]. You must write an algorithm with O(log n) runtime complexity.
MediumProblem #34
LeetCodeFind First and Last Position of Element in Sorted Array
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Examples
# Example 1
Input
nums = [5,7,7,8,8,10], target = 8
Output
[3,4]
# Example 2
Input
nums = [5,7,7,8,8,10], target = 6
Output
[-1,-1]
# Example 3
Input
nums = [], target = 0
Output
[-1,-1]
Constraints
0 <= nums.length <= 105
-109 <= nums[i] <= 109
nums is a non-decreasing array.
-109 <= target <= 109
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Solve Find First and Last Position of Element in Sorted Array — Given an array of integers nums sorted in non-decreasing order, find the startin...
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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 Find First and Last Position of Element in Sorted Array 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.
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Does PhantomCodeAI work with HackerRank, CodeSignal, and CoderPad?
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Yes. Capture the modified problem by screenshot or audio and get an updated solution within seconds, including new edge cases and optimizations.
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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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