The document discusses greedy algorithms, their characteristics, and an example problem. Greedy algorithms make locally optimal choices at each step in the hope of finding a global optimum. They are simpler and faster than dynamic programming but may not always find the true optimal solution. The coin changing problem is used to illustrate a greedy approach of always selecting the largest valid coin denomination at each step.