Which of the following searching algorithms has the best average-case time complexity when dealing with an unsorted array?

Linear search is the most efficient method for searching through an unsorted array, as it works by sequentially checking each element until the target value is found or the list ends. The average-case time complexity of linear search is O(n), which is the best possible performance for searching in an unsorted array because there is no inherent ordering or structure to take advantage of, as in binary search or interpolation search. Other algorithms like binary or jump search require a sorted array to function optimally, making them less suitable for unsorted arrays. Why Other Options Are Wrong : B) Binary search has a time complexity of O(log n) but can only be applied to sorted arrays. C) Interpolation search is O(log log n) in the average case but is designed for arrays with uniformly distributed values and requires a sorted array. D) Jump search has a time complexity of O(√n) and requires a sorted array. E) Fibonacci search is also O(log n) but is only applicable to sorted arrays.