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dynamic programming || introduction to dynamic programming || dynamic programming fibonacci || dp problems || dp problem solving || what is dynamic programming || how to solve dynamic programming problems || dynamic programming gate || dynamic programming gate pyq || dynamic programming in daa || dp fibonacci sequence || memoization || optimal substructure || overlapping sub problems What You Will Learn: Basics of Dynamic Programming: Understand what dynamic programming is and how it differs from other programming techniques. Key Principles: Explore the core principles of DP, including overlapping subproblems and optimal substructure. Step-by-Step Examples: See dynamic programming in action through detailed examples that demonstrate how to break down complex problems into manageable parts. Common DP Problems: Get familiar with classic DP problems, such as Fibonacci sequence, knapsack problem, and longest common subsequence. Techniques and Strategies: Learn about memoization and tabulation to optimize your solutions and reduce computational overhead. Practical Tips: Gain insights on when and how to use dynamic programming in real-world scenarios. Contact Details (You can follow me at) Instagram: / thegatehub LinkedIn: / thegatehub Twitter: / thegatehub ................................................................................................................... Email: thegatehub2020@gmail.com Website: https://thegatehub.com/ ................................................................................................................... 📚 Subject Wise Playlist 📚 ▶️Data Structures: http://tinyurl.com/bwptf6f7 ▶️Theory of Computation: http://tinyurl.com/5bhtzhtd ▶️Compiler Design: http://tinyurl.com/2p9wtykf ▶️Design and Analysis of Algorithms: http://tinyurl.com/ywk8uuzc ▶️Graph Theory: http://tinyurl.com/3e8mynaw ▶️Discrete Mathematics: http://tinyurl.com/y82r977y ▶️C Programming:http://tinyurl.com/2556mrmm #DynamicProgramming#Algorithm#DAA#GATECSE