Data Structures and Algorithms (DS Algo)

Dynamic Programming (DP) is intimidating at first but becomes intuitive with practice. Start by identifying overlapping subproblems and an optimal substructure. Transition from a recursive solution to an iterative one for better efficiency. Key tip: Learn to optimize space complexity by reducing multi-dimensional DP arrays to single dimensions where applicable. Classic problems like Knapsack, Longest Common Subsequence, and Fibonacci are great for building a solid DP foundation.