{"id":6740,"date":"2021-09-30T15:30:41","date_gmt":"2021-09-30T10:00:41","guid":{"rendered":"https:\/\/python-programs.com\/?p=6740"},"modified":"2021-11-22T18:39:29","modified_gmt":"2021-11-22T13:09:29","slug":"implementing-sentinel-search-in-python","status":"publish","type":"post","link":"https:\/\/python-programs.com\/implementing-sentinel-search-in-python\/","title":{"rendered":"Implementing Sentinel Search in Python"},"content":{"rendered":"

Don’t miss the chance of Java programs examples with output pdf free download<\/a> as it is very essential for all beginners to experienced programmers for cracking the interviews.<\/p>\n

Sentinel Search:<\/strong><\/p>\n

Sentinel Linear Search, as the name implies, is a form of Linear Search in which the number of comparisons is decreased as compared to a standard linear search. When a linear search is conducted on an array of size N,\u00a0a complete\u00a0<\/span>of N comparisons are made when the element to be searched is compared\u00a0to all or any\u00a0<\/span>the elements of the array and (N + 1) comparisons are made for the index of the element to be compared\u00a0in order that\u00a0<\/span>the index\u00a0isn’t\u00a0<\/span>out of bounds of the array, which can be decreased in a Sentinel Linear Search.<\/p>\n

In this search, the last element of the array is replaced with the element to be searched, and then the linear search is performed on the array without checking if the current index is inside the array’s index range or not, since the element to be searched would almost certainly be found within the array even though it was not present in the original array since the last element was replaced with i. As a result, the index to be tested will never be beyond the array’s limits. In the worst-case scenario, the number of comparisons would be (N + 2).<\/p>\n

Examples:<\/strong><\/p>\n

Input:<\/strong><\/p>\n

given_elements =[2, 7, 3, 4, 9, 15]\u00a0 \u00a0key= 9<\/pre>\n

Output:<\/strong><\/p>\n

Element 9 is found at index 4<\/pre>\n

Implementing Sentinel Search in Python<\/h2>\n