Скачать или смотреть Nth Root of a Number | Linear vs Binary Search vs Newton’s Method | Math + Java Code Explained

“Find Nth Root Fast! Linear Search → Binary Search → Newton’s Method (Full Math Proof)”
“Nth Root in Java | 3 Approaches + Newton’s Method Intuition Explained!”
“Master Nth Root of m | Math Logic + Optimized Algorithms + Java Implementation”

In this lecture, we learn how to find the *nth root of a number m* using three powerful techniques:
1️⃣ Linear Search
2️⃣ Binary Search
3️⃣ Newton’s Method (Fastest & Most Mathematical)

We start with the basic brute-force intuition, move into optimizing the search using binary search, and finally understand the beautiful mathematics behind *Newton–Raphson iteration* for computing nth roots with very high precision.

You are given 2 numbers n and m, the task is to find n√m (nth root of m). If the root is not integer then return -1.

nth root of m,
nth root algorithm,
newtons method nth root,
newton raphson nth root,
nth root java code,
binary search nth root,
linear search nth root,
find nth root without pow,
nth root explained,
nth root math derivation,
dsalgo nth root,
coding interview nth root,
nth root using newtons method,
nth root binary search approach,
java dsalgo problems,
algorithms math logic,
math tricks programming,
java numerical methods,
fast nth root algorithm,
math in programming,
compute nth root,
java newtons method,
precision errors nth root,
root finding algorithms



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