Optimal Binary Search! Find First and Last Position of Element in Sorted Array(LeetCode 34)|O(log N)
Автор: The Debug Diaries
Загружено: 2025-11-25
Просмотров: 16
In this video, we tackle LeetCode problem 34: Find First and Last Position of Element in Sorted Array! 🚀 I'll guide you through the initial Brute Force O(N) solution, then show you the essential Optimal O(log N) Binary Search technique that is required in all technical interviews. Stop getting stuck and start coding efficiently!
The Problem:
Given a sorted array of integers nums and a target value, the goal is to find the starting and ending position (first and last index) of that target. If the target doesn't exist, we must return [-1, -1].
The Optimal Approach:
The solution is to use a modified Binary Search executed twice: once to find the leftmost boundary, and once to find the rightmost boundary. This ensures the solution maintains the efficient O(log N) time complexity required for a sorted array problem.
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#LeetCode #BinarySearch #CodingInterview #Algorithm #DataStructures #FindFirstAndLastPosition #LeetCode34 #OptimalSolution #LogN #InterviewPrep #CodingTutorial
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