dynamic programming

Explore the overview of Dynamic Programming, including its definition, key principles, and real-world applications. Understand the recursive approach with its basic structure, memoization technique, and time and space complexity analysis. Delve into the iterative approach using tabulation method, space complexity optimization, and comparison with the recursive approach. Study case studies and examples such as the Fibonacci sequence, shortest path problems, and the knapsack problem. Conclude ...