Data Structures & Big-O Explained: Static & Dynamic arrays, Major Order & Sparse Matrices

Learn how static arrays, dynamic arrays, major order reduction, and sparse matrices really work — including their time complexity and memory behavior. 🚀 This video walks through push, pop, shift, unshift, row-major vs column-major traversal, 3D reductions, and dynamic sparse matrix implementations with two and four references. We analyze constant, linear, quadratic, and cubic complexity step by step while executing real code examples. 💡 Perfect for students studying data structures, algorithm analysis, or memory optimization. 00:00 Static Arrays Operations & Complexity 00:50 Dynamic Arrays Operations & Complexity 02:10 Matrix Reduction: Row-Major vs Column-Major 2D 03:40 3D Major Order & Cubic Complexity 05:20 Sparse Matrix (Two References / spreadsheet-style) 08:40 Sparse Matrix (Four References / Orthogonal List) 12:30 Closing DISCLAIMER: All logos and trademarks belong to their respective owners. #programming #datastructures #perl #bigo #algorithm #sparse #timecomplexity #computerscience #vscode #script