Greedy algorithms involve making locally optimal choices at each stage with the hope of finding a global optimum. Here are tips and strategies for solving problems using greedy algorithms:
I. TIPS & STRATEGIES FOR SOLVING GREEDY ALGORITHMS PROBLEMS:
1. Understand the Problem:
- Clearly understand the problem statement, constraints, and the objective of the problem.
1.1. Characteristic of Greedy Algorithms:
i. Greedy Choice Property:
- A greedy algorithm makes the locally optimal choice at each step without reconsidering previous choices. The hope is that these choices will lead to a globally optimal solution.
- Look for situations where, at each step, you make the best choice based on the current information without considering future steps.
ii. Optimal Substructure:
- Greedy algorithms often have the property that making a locally optimal choice at each step leads to a globally optimal solution.
- Check if the problem can be broken down…
