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The Greedy algorithm guarantees an optimal solution for all problems.
False
The Greedy algorithm makes globally optimal choices at each step.
False
The Greedy algorithm is a complex and difficult approach to solving optimization problems.
False
The first step in the Greedy algorithm is to determine the greedy choice that will be made at each step.
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The Greedy algorithm considers the overall consequences of each choice before making a decision.
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The Greedy algorithm is always effective in solving optimization problems.
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The termination condition of the Greedy algorithm is always reaching a specific subproblem.
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The Greedy algorithm requires post-processing or validation steps to ensure the solution is correct.
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The greedy-choice property ensures that making globally optimal choices leads to a locally optimal solution.
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The optimal substructure property states that a suboptimal solution to the problem contains optimal solutions to its subproblems.
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