Path step 2: Building on foundational algorithmic thinking, this lecture introduces dynamic programming as a powerful technique for solving optimization problems by breaking them into overlapping subproblems, exemplified by Fibonacci and shortest path calculations.
This introductory dynamic programming lecture covers the Fibonacci sequence calculation and its application to shortest path problems in directed acyclic graphs.