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What is the 'Greedy Choice Property' that a problem must have in order to be solved using a greedy algorithm?
What is the 'Greedy Choice Property' that a problem must have in order to be solved using a greedy algorithm?
- The algorithm must always produce the global best result
- The algorithm must work in a top-down approach
- The problem must have an optimal substructure
- The optimal solution can be found by choosing the best choice at each step without reconsidering previous steps (correct)
What is the key characteristic of a greedy algorithm?
What is the key characteristic of a greedy algorithm?
- It reverses earlier decisions if they are wrong
- It selects the best option available at the moment (correct)
- It always finds the global best result
- It works in a bottom-up approach
What is the 'Optimal Substructure' property that a problem must have in order to be solved using a greedy algorithm?
What is the 'Optimal Substructure' property that a problem must have in order to be solved using a greedy algorithm?
- The optimal overall solution must correspond to the optimal solution of its subproblems (correct)
- The algorithm must always produce the global best result
- The problem must have the greedy choice property
- The algorithm must work in a bottom-up approach
What is the main drawback of using a greedy algorithm?
What is the main drawback of using a greedy algorithm?
In the example given, what is the greedy approach to finding the longest path from the root to a leaf node?
In the example given, what is the greedy approach to finding the longest path from the root to a leaf node?
What is the key difference between a greedy algorithm and a dynamic programming approach?
What is the key difference between a greedy algorithm and a dynamic programming approach?
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