Greedy algorithms are generally not optimal because they make local choices at each step, selecting the immediate best option without considering the overall consequences; this can lead to suboptimal solutions since the global optimum may require sacrifices in local decisions. For example, in the knapsack problem, choosing the highest value item at each step might prevent achieving a more valuable combination of items.
Data Structures and Algorithms Unit Test 22 of 2222 of 22 Items Question Why are greedy algorithms generally not optimal? Explain your answer in 1-2 sentences.(2 points) Short Answer Rubric (2 points) Points Awarded Criteria 2 The answer is very clear. The answer is fully supported by details. There may be a few errors in grammar, usage, or mechanics. Errors do not interfere with meaning. 1 The answer is somewhat clear. Details are weak or not related. There are some errors in grammar, usage, and mechanics. Errors interfere with meaning. 0 The question is not answered. Skip to navigation page 1 of 1
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