0/1 Knapsack Problem using Dynamic Programming || GATECSE || DAA
93.4 هزار بار بازدید -
2 سال پیش
-
01 knapsack problem || 0/1
01 knapsack problem || 0/1 knapsack problem using dynamic programming in hindi || 0/1 knapsack problem using dynamic programming || knapsack problem dynamic programming || knapsack problem in daa in hindi || 0/1 knapsack using dp
This video teaches how to solve the 0/1 Knapsack Problem using dynamic programming. The problem involves packing items with weights and values into a limited capacity knapsack. The goal is to maximize the total value while satisfying capacity constraints. The solution is to break the problem into smaller subproblems and solve them recursively, storing solutions in a tabular format.
What You Will Learn:
Dynamic Programming: An algorithmic technique to solve complex problems by breaking them down into smaller subproblems and solving them recursively.
Tabulation: Storing the solutions to subproblems in a tabular format to avoid solving the problem from scratch each time.
Memoization: A technique used in dynamic programming to store the solutions to subproblems in memory for faster computation. 💪 Tips and Tricks:
Break down the problem into smaller subproblems.
Use a recursive approach to solve the subproblems.
Store the solutions to subproblems in a tabular format.
Use memoization to avoid unnecessary computations.
Contact Details (You can follow me at)
Instagram: Instagram: thegatehub
LinkedIn: LinkedIn: thegatehub
Twitter: Twitter: THEGATEHUB
...................................................................................................................
Email: [email protected]
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
This video teaches how to solve the 0/1 Knapsack Problem using dynamic programming. The problem involves packing items with weights and values into a limited capacity knapsack. The goal is to maximize the total value while satisfying capacity constraints. The solution is to break the problem into smaller subproblems and solve them recursively, storing solutions in a tabular format.
What You Will Learn:
Dynamic Programming: An algorithmic technique to solve complex problems by breaking them down into smaller subproblems and solving them recursively.
Tabulation: Storing the solutions to subproblems in a tabular format to avoid solving the problem from scratch each time.
Memoization: A technique used in dynamic programming to store the solutions to subproblems in memory for faster computation. 💪 Tips and Tricks:
Break down the problem into smaller subproblems.
Use a recursive approach to solve the subproblems.
Store the solutions to subproblems in a tabular format.
Use memoization to avoid unnecessary computations.
Contact Details (You can follow me at)
Instagram: Instagram: thegatehub
LinkedIn: LinkedIn: thegatehub
Twitter: Twitter: THEGATEHUB
...................................................................................................................
Email: [email protected]
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
2 سال پیش
در تاریخ 1401/02/23 منتشر شده
است.
93,467
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