To analyze the time complexity of the provided algorithms:
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Merge Sort: This is a divide-and-conquer algorithm with a time complexity of \( O(n \log n) \).
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Insertion Sort: This algorithm has a time complexity of \( O(n^2) \) in the average and worst cases, but \( O(n) \) in the best case (when the array is already sorted).
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Binary Search: This algorithm is used to find an element in a sorted array and operates with a time complexity of \( O(\log n) \).
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Linear Search: This algorithm searches for an element in an unsorted array and has a time complexity of \( O(n) \).
Among these algorithms, binary search has the smallest time complexity of \( O(\log n) \).