<ul><li>Dynamic Programming (DP) is a powerful technique used to efficiently solve problems that can be divided into overlapping subproblems.</li><li>DP has real-world applications in various fields such as logistics, operating systems, and finance.</li><li>There are two main approaches in DP: Memoization and Tabulation.</li><li>Memoization is a top-down approach that uses recursion and stores results of subproblems to avoid redundancy. Tabulation is a bottom-up approach that iteratively solves subproblems and stores their results in a table.</li></ul>

What is Dynamic Programming?

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