Greedy Approach
- The greedy approach makes the best choice at each step with the hope of finding a global optimum solution.
- It selects the locally optimal solution at each stage without considering the overall effect on the solution.
- Greedy algorithms are usually simple, easy to implement, and efficient, but they may not always lead to the best solution.
Greedy Approach vs Dynamic programming
Greedy approach and Dynamic programming are two different algorithmic approaches that can be used to solve optimization problems. Here are the main differences between these two approaches: