How many searching techniques in data structure

This algorithm can be executed on both internal as well as external data structures. The efficiency of searching an element increases the efficiency of any algorithm.

This is the traditional technique for searching an element in a collection of elements. In this type of search, all the elements of the list are traversed one by one to find if the element is present in the list or not. One example of such an algorithm is a linear search.

This is a straightforward and basic algorithm. Repeat while DATA[i]! This is a technique to search an element in the list using the divide and conquer technique. This type of technique is used in the case of sorted lists. Instead of searching an element one by one in the list, it directly goes to the middle element of the list, divides the array into 2 parts, and decides element lies in which sub-array the element exists.

Suppose ARR is an array with sorted n number of elements present in increasing order. With every step of this algorithm, the searching is confined within BEG and END, which are the beginning and ending index of sub-arrays.

The data generated on the internet is rising, and thus datasets are becoming complex. It is essential to organise, manage, access and analyse the data carefully and efficiently, a data structure is the most helpful technique, and the article focuses on the same!

In computer science , data structures are the basis for abstract data types ADT , where ADT are the logical form of the data type. The physical layout of the data type is implemented using the data structure. Different data structure types are used for different kinds of applications; some are specialised in particular tasks. The data structure is a collection of data values and relationships among them, operations and functions applicable to the data. It assists in organising, managing and storing data in a particular format.

Thus, users can have easy access and modify the data efficiently. Data structures help to manage large amounts of data, such as massive databases. Efficient algorithms are built based on efficient data structures. Besides efficient storage, data structures are also responsible for the efficient retrieval of information from stored memory. The article covers the concept of Searching in Data Structure and its methods. Two examples of algorithms are explained in detail to understand the concept clearly.

To gain further knowledge, skills and expertise, online courses on data structure are available, mentioned at the end of the article. These sets of items are in various forms, such as an array, tree, graph, or linked list. Another way of defining searching in the data structure is by locating the desired element of specific characteristics in a collection of items.

Searching in the data structure can be done by implementing searching algorithms to check for or retrieve an element from any form of stored data structure.

These algorithms are categorised based on their type of search operation, such as:. The array or list of elements is traversed sequentially while checking every component of the set. Algorithms designed explicitly for searching in sorted data structures are included in the interval search.

The efficiency of these algorithms is far better than linear search algorithms. These methods are examined based on the time taken by an algorithm to search an element matching the search item in the data collections and are given by,.

Dominant operations are used to simplify analysis and algorithm comparison. There are numerous searching algorithms in a data structure such as linear search, binary search, interpolation search, jump search, exponential search, Fibonacci search, sublist search, the ubiquitous binary search, unbounded binary search, recursive function for substring search, and recursive program to search an element linearly in the given array.

In Linear search, we search an element or value in a given array by traversing the array from the starting, till the desired element or value is found. It compares the element to be searched with all the elements present in the array and when the element is matched successfully, it returns the index of the element in the array, else it return Linear Search is applied on unsorted or unordered lists, when there are fewer elements in a list.

We will implement the Linear Search algorithm in the next tutorial. Binary Search is used with sorted array or list. In binary search, we follow the following steps:. Binary Search is useful when there are large number of elements in an array and they are sorted.

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