Find the Repeating Element in Array | 7 Powerful Approaches Explained | DSA Interview Must-Know скачать в хорошем качестве

Find the Repeating Element in Array | 7 Powerful Approaches Explained | DSA Interview Must-Know

“7 Ways to Find the Duplicate Number | Brute → XOR → Floyd’s Cycle | Full DSA Guide” “Find Duplicate in Array (1 to n-1) | ALL Approaches Explained | Interview Ready” “Duplicate Number Problem | 7 Methods from Naive to Floyd’s Cycle Detection” In this video, we solve a classic and very important DSA interview problem: 🔹 Given an array of size n containing numbers from 1 to n−1, 🔹 Exactly ONE number is repeated, 🔹 Your task is to find the repeating element. What makes this video special is that we solve the same problem using **7 DIFFERENT APPROACHES**, starting from brute force and gradually moving to the most optimal and elegant solutions used in real interviews. --- 🔥 APPROACHES COVERED IN THIS VIDEO 1️⃣ Naive Approach – Nested Loops Time: O(n²), Space: O(1) 2️⃣ Sorting Based Approach Time: O(n log n), Space: O(1) 3️⃣ Hash Set Approach Time: O(n), Space: O(n) 4️⃣ Sum Formula (Mathematical Approach) Time: O(n), Space: O(1) 5️⃣ XOR Based Approach Time: O(n), Space: O(1) 6️⃣ Using Elements as Indexes (Sign Marking Technique) Time: O(n), Space: O(1) 7️⃣ Floyd’s Cycle Detection Algorithm (Tortoise & Hare) Time: O(n), Space: O(1) ⭐ (MOST IMPORTANT FOR INTERVIEWS) Whether you're preparing for FAANG, product-based companies, coding rounds, or want to strengthen your fundamentals, this channel brings you the best structured DSA explanations with zero confusion. Step-by-step logic Mathematical reasoning Multiple approaches (Naive → Optimized) Time & Space complexity Real interview insights Clean and easy-to-understand code Data Structures (Arrays, Strings, Stacks, Queues, Trees, Graphs, LinkedList, Hashing, Heaps) Algorithms (Sorting, Searching, Binary Search, Greedy, DP, Recursion, Backtracking, Graph Algorithms) Math Logic for coding (Number Theory, Combinatorics, Modular Arithmetic) Coding interview questions with full proof and code Competitive programming tricks and optimizations LeetCode, GFG, Codeforces, HackerRank problem explanations Pattern printing & logic building Time complexity mastery 👍 Like the video 💬 Comment your doubts 🔔 Subscribe for daily coding content 📤 Share with your coding friends Your support motivates me to create more high-quality content. Tags: #DSA #Coding #CompetitiveProgramming #Programmer #DataStructures #Algorithms #LeetCode #GeeksForGeeks #CodingInterview #SoftwareEngineer #CodeWithMe #MathInCode #Optimization #CP #Java #Python #C++ #LogicBuilding #ProblemSolving #TechInterview #ProgrammingTutorial #ComputerScience #CodingChallenge #DSATutorial #CodingForBeginners #Code #BinarySearch #Recursion #DynamicProgramming coding, dsa, data structures and algorithms, competitive programming, problem solving, coding interview, interview preparation, geeks for geeks, leetcode solutions, codeforces, hackerRank, programming tutorial, algorithm explanation, data structures tutorial, dynamic programming, recursion, binary search, greedy algorithms, coding tricks, optimize code, coding shortcuts, math logic in code, beginners coding, java coding, python coding, cpp coding, technical interview, placements preparation, coding questions, solved problems, coding solution, youtube coding channel, logic building, number theory, mathematics for coding, time complexity, space complexity