Two students are discussing the best algorithm to use to see if a specific element is in a sorted data set. Which classic algorithm should they choose?(1 point)%0D%0AResponses%0D%0A%0D%0Aquicksort%0D%0Aquicksort%0D%0A%0D%0Ahashing%0D%0Ahashing%0D%0A%0D%0Alinear search%0D%0Alinear search%0D%0A%0D%0Abinary search
The best algorithm to use to see if a specific element is in a sorted data set is the binary search algorithm.
The classic algorithm that the students should choose to see if a specific element is in a sorted data set is the binary search algorithm.
The classic algorithm that should be chosen to see if a specific element is in a sorted data set is the "binary search" algorithm. Binary search is an efficient algorithm that can quickly determine if a target element exists in a sorted list or array.
Here's how binary search works:
1. Start by identifying the middle element of the sorted data set.
2. Compare the target element with the middle element:
- If the target element is equal to the middle element, the search is successful.
- If the target element is less than the middle element, the search continues in the left half of the sorted data set.
- If the target element is greater than the middle element, the search continues in the right half of the sorted data set.
3. Repeat the above steps until the target element is found or until there are no more elements to search.
4. If the target element is not found after the binary search is completed, it means the element does not exist in the sorted data set.
Binary search has a time complexity of O(log n), where n is the number of elements in the sorted data set. This makes it significantly faster than linear search (which has a time complexity of O(n)) for large data sets.
To summarize, in the given scenario, the students should choose the "binary search" algorithm as the best option to see if a specific element is in a sorted data set.