Below is an example of a data node. To implement a list, we need two different structures, a head node and data node, as shown in the diagram below. How to search an element in linked list? Following are important terms to understand the concepts of Linked List. Sequential search is the most common search used on linked list structures. And if the predecessor is not null, we can add in the middle of the list of at the end of the list. 2. Depending upon whether the head is a null pointer or not, similar to the case of Insert Node, we can also remove a node from the beginning, middle or from the end of the list. Traverse List is used in an application that requires the entire list to be processed. Delete Node is used to remove a node from the list by changing various link pointers and then physically deleting the node from the dynamic memory. Linked list the second most used data structure after array. A linked-list is a sequence of data structures which are connected together via links. Each link contains a connection to another link. Linear Search ( Array A, Value x) Step 1: Set i to 1 Step 2: if i > n then go to step 7 Step 3: if A [i] = x then go to step 6 Step 4: Set i to i + 1 Step 5: Go to Step 2 Step 6: Print Element x Found at index i and go to step 8 Step 7: Print element not found Step 8: Exit. Sequential search is the most common search used on linked list structure. Now we will learn about the different operations that can be carried out on Linked List. Step-1: Initialise the Current pointer with the beginning of the List. In this section of the tutorial, we will discuss the use of Linked List in Data Structure and its implementation in programs. Let List be a pointer to a linked list. Then it sets the metadata to null. Linked lists can be used to perform different operations of the data present inside it. Below is an illustrated diagram to define the use of list search operation on Linked List. It can be implemented at the beginning, middle, or at the end of the list. 5.Search Search operation is used for finding a particular element in a linked list. In this algorithm a node X is inserted at the beginning of a linked list. Below is an illustrated diagram to define the use of traverse list operation on Linked List. INSERT AFTER A NODE. Declare two variable one to store index of found element and other to iterate through list. It is used to test how much the memory is left in the dynamic memory. It can be implemented at the beginning, middle, or at the end of the list. Step-2: Compare the KEY value with the Current node value; if they match then quit there else go to step-3. It returns a simple Boolean indicating the presence or absence of data in the list. It is useful because the calling module has no direct access to the list structure. Insert Node is used to add data to a list. Below is an illustrated diagram to define the use of delete node operation on Linked List. So we either add to an empty list or at the beginning of the list. Now let’s move on further to the introduction of Linked List in Data Structure. Destroy List is used to destroy the list when it is no longer needed. Retrieve Node is used to search and locate the data in the list. 1. STEPS: 1.X=new node; 2.Read(DATA(X); 3.If (FIRST=NULL) then { First=X; NEXT(X)=NULL; } Else { NEXT(X)=First; First=X; } 4.END. LinkedList− A LinkedList contains the connection li… Step-3: Move the Current pointer to point to the next node in the list and go to step-2, till the list is not over or else quit. In this algorithm a node X is inserted in the list after a node with data part equal to ‘VAL’. Traverse List is used to traverse a list from the first node while examining each node in succession until the last node. Create List is used to allocate the head and initializes the metadata for the list. A head node is used to store the head pointer and other data about the list. Now, to carry this out, we have two situations here: delete first node and delete any node. Linked List is a sequence of links which contains items. This video explains Searching a Linked List in Data Structure in HindiClick following link for complete Tutorial of Data Structure in Hindihttps://www.youtube.com/playlist?list=PLUhebcqFf6aHYUojqYufy5eXxLXVF6LyEClick following link for complete Tutorial of 'C' Programming in Hindihttps://www.youtube.com/playlist?list=PLUhebcqFf6aFm5SzSyI4X4a6l2nfvv6q8Click following link for complete Tutorial of 'C++' Programming in Hindihttps://www.youtube.com/playlist?list=PLUhebcqFf6aFqVv5UzmyXwxHLDJCjvXOnClick following link for complete Tutorial of Computer Graphics in Hindihttps://www.youtube.com/playlist?list=PLUhebcqFf6aEgf-t1yJ_75wix-lH23Ed1Click following link for complete Tutorial of Operating System in Hindihttps://www.youtube.com/playlist?list=PLUhebcqFf6aHlz_NO9G7oJH2bNfZL0ChuClick following link for CBSE UGC NET Solution of Computer Graphicshttps://www.youtube.com/playlist?list=PLUhebcqFf6aGJ3AxDW-oFXgq6hLQEhDCA To carry out this operation, we need to use a sequential search that will return the location of the data that we are searching for. In the next section of the tutorial, we will discuss the different types of Linked List in Data Structure such as, Doubly Linked List, Circular Linked List, and Circular Doubly List and their implementation in programs that will be used thoroughly in this Data Structure tutorial. Search an element in a Linked List (Iterative and Recursive) Write a function to get Nth node in a Linked List. Algorithm. When dealing with many problems we need a dynamic list, dynamic in the sense that the size requirement need not be known … If the data are found in the list, it moves the data to the output area and returns true.