![]() When you are searching for a dataset stored in contiguous memory.When we are dealing with a small dataset.Linear search has a time complexity of O(N), which in turn makes it slow for large datasets.It is a well-suited algorithm for small datasets.Does not require any additional memory.It can be used on arrays of any data type. Linear search can be used irrespective of whether the array is sorted or not.So the worst-case complexity is O(N) where N is the size of the list.Īuxiliary Space: O(1) as except for the variable to iterate through the list, no other variable is used. Boolean search is a query methodology that is used to broaden, narrow or refine search results. Worst Case: In the worst case, the key might be present at the last index i.e., opposite to the end from which the search has started in the list.Best Case: In the best case, the key might be present at the first index.Output Element is present at index 3 Complexity Analysis of Linear Search: ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.DevOps Engineering - Planning to Production.Writing a successful search strategy takes an intimate knowledge of bibliographic databases. Python Backend Development with Django(Live) It is recommended that you work with a librarian to help you design comprehensive search strategies across a variety of databases.Android App Development with Kotlin(Live).Full Stack Development with React & Node JS(Live).Java Programming - Beginner to Advanced.Data Structure & Algorithm-Self Paced(C++/JAVA). ![]()
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