Facebook's Favorite Interview Question! LeetCode 34: Find First & Last Position скачать в хорошем качестве

Facebook's Favorite Interview Question! LeetCode 34: Find First & Last Position

In this video, we solve LeetCode 34: Find First and Last Position of Element in Sorted Array, a classic problem that tests your understanding of Binary Search.While a linear scan $O(N)$ is easy to implement, interviewers at top tech companies like Facebook, Google, and Microsoft expect an $O(\log N)$ solution. I will show you how to modify the standard Binary Search algorithm to find both the starting and ending indices of a target value.📌 What we cover in this video:The Brute Force Approach: Why a simple for-loop ($O(N)$) isn't enough.Binary Search Logic: How to implement "Lower Bound" and "Upper Bound" concepts.The Optimal Strategy: Running Binary Search twice to get the answer in $O(\log N)$ time.Edge Cases: Handling scenarios where the target element doesn't exist ([-1, -1]).This is a fundamental pattern for 2026 placement preparation!⏱️ Timestamps:0:00 - Introduction & Problem Statement1:45 - Brute Force Approach ($O(N)$)3:30 - Why Binary Search is Required ($O(\log N)$)5:00 - Logic for Finding the "First" Position8:15 - Logic for Finding the "Last" Position11:30 - Full Code Implementation14:00 - Time & Space Complexity Analysis15:20 - Summary🔗 Code & Resources:Problem Link: https://leetcode.com/problems/find-fi... to Coding Story: [Insert your channel link here]#Hashtags:#LeetCode34 #BinarySearch #FindFirstAndLastPosition #DSA #CodingInterview #CodingStory #FacebookInterview #Algorithms #LowerBound #UpperBound