![]() ![]() Let us understand each one of these types of searching algorithms in details with examples & illustrations-Ī linear search or sequential search is a method for finding an element within a list. There are few more types of algorithms left to be discussed here, but all cannot be covered in one post, so we will cover those left outs in another topic. Sublist Search (Search a linked list in another list).These type of searching algorithms are more efficient than Linear Search method, as they repeatedly target the center of the search structure and divide the search space in 2 half. Interval Search: These algorithms are specifically designed for searching in sorted data-structures.Sequential Search: In this, the list or array is traversed sequentially and every element is checked.These algorithms are mainly classified in 2 categories according to their type of search operations. These operations give one of the 2 possible outcomes- Success or Failure, i.e- ‘Success’ when target is found & ‘Failure’ when target is not found. They search for a target (key) in the search space, like. Searching Algorithms are designed to check or retrieve an element from any data structure where it is being stored. In computer science, there are various type of search algorithms available and the way they are used decides the performance and efficiency of the data available( the manner in which the data is being used).Īccording to Wikipedia- Search algorithm is-Īny algorithm which solves the search problem, namely, to retrieve information stored within some data structure, or calculated in the search space of a problem domain, either with discrete or continuous values. ![]() And they are expected to return a success or a failure status ( in boolean true or false value). Searching algorithms is a basic, fundamental step in computing done via step-by-step method to locate a specific data among a collection of data.Īll search algorithms make use of a search key in order to complete the procedure. When searching for data, the difference between a fast application and a slower one lies in the accurate use of search algorithm. ![]()
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