#dynamic-programming

Dynamic Programming

Introduction Dynamic Programming (DP) is an optimization technique that solves complex problems by breaking them into overlapping subproblems and storing their results so you never solve the same subproblem twice. Think of it like taking notes during a long calculation — instead of redoing work, you look up answers you’ve already figured out. If you’ve worked through Recursion, you’ve already seen the problem DP solves. Remember the naive recursive Fibonacci? It recalculates the same values over and over. Read more →

March 31, 2026