Greedy Algorithms
Learn the intuitive approach of making the best local choice at each step, and understand when this simple strategy leads to a global optimum.
What Is a Greedy Algorithm?
A greedy algorithm builds up a solution piece by piece, always choosing the next piece that offers the most obvious and immediate benefit. Think about giving change for 41 cents using standard US coins (25, 10, 5, 1). The greedy approach is what a human does naturally: take the biggest coin first (a quarter), then the biggest coin for the remainder (a dime), and so on. In this case, 25 + 10 + 5 + 1 works.
This strategy is appealing because it's simple and fast. However, the catch is that it doesn't always work. The greedy choice property—where a locally optimal choice leads to a globally optimal solution—only holds for certain types of problems. A key part of mastering greedy algorithms is learning to identify these problems and knowing when a more complex approach like Dynamic Programming is necessary.