If x matches with the middle element, we return the mid index.A simple approach to implement Binary Search: Repeatedly check until the value is found or the interval is empty. If the value of the search key is less than the item in the middle of the interval, narrow the interval to the lower half. Begin with an interval covering the whole array. Search a sorted array by repeatedly dividing the search interval in half. Note: Other search algorithms such as the binary search algorithm and hash tables allow significantly faster-searching comparison to Linear search. The time complexity of a linear search is O(n). In the best-case scenario, the element is present at the beginning of the list and in the worst-case, it is present at the end. The time required to search an element using a linear search algorithm depends on the size of the list. Implementing Linear Search in Java public static int search(int arr, int x) If x does not match with any of the elements, then return -1.If x matches with an element, then return the index.Begin with the leftmost element of arr and one by one compare x with each element.A simple approach to implement Linear Search: It checks each element of the list sequentially until a match is found or the whole list has been searched. In computer science, linear search is a very simple and basic search algorithm for finding an element within a list. This type of searching algorithms are much more efficient than Linear Search as they repeatedly target the center of the search structure and divide the search space in half. Interval Search: These algorithms are specifically designed for searching in sorted data-structures.Sequential Search: In this type of searching algorithms, the sorted/unsorted list or array is traversed sequentially and every element is checked.Based on the type of search operation, these algorithms are generally classified into two categories: Searching Algorithms are designed to find an element or retrieve an element from any data structure where it is stored.
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