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This video breaks down Backtracking algorithms from first principles — how the state-space tree and pruning work, to practical implementations and real-world use cases (Subsets, Permutations, N-Queens, Sudoku, Rat-in-a-Maze, Word Search). You'll get clear explanations, pseudocode, and sample C++/Java patterns so you can implement these techniques in competitive programming, interviews, and production systems. What you’ll learn What backtracking is and why it’s “controlled brute force” How to model problems as a state-space tree and prune effectively Example problems: Subsets (Power Set), Permutations, N-Queens, Sudoku, Rat-in-a-Maze, Word Search Optimizations: bitmasks for N-Queens, Trie+DFS for Word Search, visited matrices and pruning tricks Code patterns in C++ and Java you can reuse Code & Resources I used the document Algorithmic Backtracking: A Comprehensive Analysis of Combinatorial Optimization and Constraint Satisfaction as the basis for this video. Source / reference: Backtracking Algorithms Explain… Subscribe & follow If this helped, hit LIKE, SUBSCRIBE, and ring the bell 🔔 for more algorithms & competitive programming guides. Comments / questions welcome — tell me which problem you want a full walkthrough for next! All content in this video (voiceover, visuals, explanation, and edits) is original and created by "NerdTeach" . If you believe this video contains copyrighted material that should be removed or credited differently, please contact me at @[email protected] with details. #Backtracking #Algorithms #Recursion #DSA #DataStructures #CompetitiveProgramming #CodingInterview #NQueens #SudokuSolver #Permutations #Subsets #ComputerScience #Backtracking #Algorithms #Recursion #DataStructures #ComputerScience #Subsets #WordSearch #CompetitiveProgramming #CodingInterview #DSA #LearnToCode #ProgrammingTutorial