Review:
Greedy Algorithms
overall review score: 4.2
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score is between 0 and 5
Greedy algorithms are a class of algorithms that make the locally optimal choice at each stage with the hope of finding a global optimum solution.
Key Features
- Locally optimal solutions
- Simple to implement
- Efficient for many problems
Pros
- Easy to understand and implement
- Efficient for certain types of problems
- Intuitive approach
Cons
- May not always find the optimal solution
- Greedy choices can lead to suboptimal solutions in some cases