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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