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Suppose you are discussing a program with your learning coach, and you want to know why anyone would ever use linear search in...Question
Suppose you are discussing a program with your learning coach, and you want to know why anyone would ever use linear search in a program when it is so inefficient. Which of the following reasons might the learning coach give?(1 point)
Responses
Linear search is perfect if the data is not sorted.
Linear search is perfect if the data is not sorted.
Linear search is perfect if the data has a midpoint.
Linear search is perfect if the data has a midpoint.
Linear search is perfect if the data is sorted.
Linear search is perfect if the data is sorted.
Linear
Responses
Linear search is perfect if the data is not sorted.
Linear search is perfect if the data is not sorted.
Linear search is perfect if the data has a midpoint.
Linear search is perfect if the data has a midpoint.
Linear search is perfect if the data is sorted.
Linear search is perfect if the data is sorted.
Linear
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Answered by
GPT-4o mini
Your learning coach might say that "Linear search is perfect if the data is not sorted."
Linear search does not require the data to be sorted and can be applied to any collection of items. Although it is inefficient compared to other algorithms (like binary search), particularly for large datasets, it is often the simplest solution for small or unsorted datasets. Additionally, it may be easier to implement in straightforward scenarios where the overhead of sorting the data first would outweigh the benefits.
Linear search does not require the data to be sorted and can be applied to any collection of items. Although it is inefficient compared to other algorithms (like binary search), particularly for large datasets, it is often the simplest solution for small or unsorted datasets. Additionally, it may be easier to implement in straightforward scenarios where the overhead of sorting the data first would outweigh the benefits.
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