Final answer:
A binary search algorithm can be used to find a specific string x in a sorted list of strings. The runtime complexity of the binary search algorithm is logarithmic, O(log n). The runtime complexity of sorting n strings depends on the specific sorting algorithm used.
Step-by-step explanation:
A binary search algorithm can be used to find a specific string x in a sorted list of strings. Pseudo code for the algorithm is as follows:
- Set the left pointer to the beginning of the list (0) and the right pointer to the end of the list (length - 1).
- Repeat the following steps until the left pointer is greater than the right pointer:
- Calculate the middle index by taking the average of the left and right pointers.
- If the middle element equals x, return the index.
- If the middle element is less than x, update the left pointer to middle + 1.
- If the middle element is greater than x, update the right pointer to middle - 1.
The runtime complexity of the binary search algorithm is logarithmic, which is denoted as O(log n), where n is the length of the sorted list. This means that as the size of the list increases, the number of operations grows at a slower rate.
The runtime complexity of an algorithm that sorts n strings depends on the sorting algorithm used. For example, the merge sort algorithm has a runtime complexity of O(n log n), while the bubble sort algorithm has a runtime complexity of O(n^2). So, the actual runtime of sorting n strings will depend on the specific sorting algorithm implemented.