About Dynamic Programming

Dynamic programming optimizes recursive solutions by storing and reusing computed results. These problems cover 1D and 2D DP, memoization vs. tabulation, and classic patterns like knapsack, longest common subsequence, and coin change. DP is considered the hardest interview category but follows learnable patterns.

Practice 7 interactive coding problems with step-by-step execution visualization.

Dynamic Programming

Practice Dynamic Programming problems

Problems7 problems