Introduction to Dynamic Programming || GATECSE || DAA

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  • čas přidán 7. 05. 2022
  • 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
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    Email: thegatehub2020@gmail.com
    Website: thegatehub.com/
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    📚 Subject Wise Playlist 📚
    ▶️Data Structures: tinyurl.com/bwptf6f7
    ▶️Theory of Computation: tinyurl.com/5bhtzhtd
    ▶️Compiler Design: tinyurl.com/2p9wtykf
    ▶️Design and Analysis of Algorithms: tinyurl.com/ywk8uuzc
    ▶️Graph Theory: tinyurl.com/3e8mynaw
    ▶️Discrete Mathematics: tinyurl.com/y82r977y
    ▶️C Programming:tinyurl.com/2556mrmm
    #DynamicProgramming#Algorithm#DAA#GATECSE

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