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Dynamic_Programming and Recursion

There are several programms that focuses on problem solving using dynamic programming in python and C++

  • 01_knapsack (3 approaches):

    1.Using Recursion

    2.Using Recursion+Memoization

    3.Using Dynamic Programming

  • Unbounded Knapsack :- Maximum Profit achieved by including items for multiple number of times

  • Coin change :- number of ways given sum can be obtained from denominations of coins

  • Subset Sum

    1.Subset Sum using dp related to knapsack approach

    2.Leetcode Problem of Partition Equall Subset Sum :- Partition subset into 2 equall parts

    3.Subset Sum Count :- Count number of subset from array given sum k

  • String

    1.Longest Common Subsequence(lcs.py)

    2.Longest Common Subsequence pattern print(lcs_pattern_print.py)

    3.Longest Common Substring

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