This document discusses applications of dynamic programming including the 0/1 knapsack problem, mathematical optimization problems, shortest path problems, reliability design problems, longest common subsequence problems, and applications in flight control and robotics control. Dynamic programming breaks large problems into smaller overlapping subproblems and builds optimal solutions incrementally. It provides efficient algorithms for optimization problems like finding the highest profit selection of items within a weight limit or discovering the lowest cost path between points.