![]() ![]() The data structures used for this purpose are Arrays, Linked list, Stacks, and Queues. The arrangement of data in a sequential manner is known as a linear data structure. The non-primitive data structure is divided into two types: The int, char, float, double, and pointer are the primitive data structures that can hold a single value. The primitive data structures are primitive data types. These abstract data types are the set of rules. To structure the data in memory, 'n' number of algorithms were proposed, and all these algorithms are known as Abstract data types. It is a set of algorithms that we can use in any programming language to structure the data in the memory. The data structure is not any programming language like C, C++, java, etc. Let's see the different types of data structures. There are also other ways to organize the data in memory. This organization of data is done with the help of an array of data structures. In other words, we can say that array stores the elements in a continuous manner. Array is a collection of memory elements in which data is stored sequentially, i.e., one after another. There are many ways of organizing the data in the memory as we have already seen one of the data structures, i.e., array in C language. ![]() The data structure name indicates itself that organizing the data in memory. Our Data Structure tutorial includes all topics of Data Structure such as Array, Pointer, Structure, Linked List, Stack, Queue, Graph, Searching, Sorting, Programs, etc. Our Data Structure tutorial is designed for beginners and professionals.ĭata Structure is a way to store and organize data so that it can be used efficiently. To update the value of the node, we just need to set the data part to the new value.Data Structures (DS) tutorial provides basic and advanced concepts of Data Structure. While( temp != NULL) // traversing the list Node temp = head // creating a temp variable pointing to the head of the linked list To search any value in the linked list, we can traverse the linked list and compares the value present in the node. Return head // if no node matches in the Linked List If(temp.next = del) // finding the node to be deletedĭelete del // free the memory of that Node Return head.next // special case for the first Node If(head = del) // if the node to be deleted is the head node this function will return the head of the linked list Otherwise, we we have to connect the new node to the current head of the list and make the new node, the head of the list. If the list is empty, we make the new node as the head of the list. Since there is no need to find the end of the list. There can be three cases that will occur when we are inserting a node in a linked list. Then go to the next node(if exists) and access the node informationĬontinue until no more nodes (that is, you have reached the null node) Access the content of the head node if it is not null. , we may want to print the list or search for a specific node in the list. The idea here is to step through the list from beginning to end. Node next // variable containing the address of next node Int data // variable containing the data of the node We will see the various implementation of these operations on a singly linked list.įollowing is the structure of the node in a linked list: To arrange nodes in a linked list in a specific order. : To traverse all the nodes one after another. Operations in a circular linked list are complex as compared to a singly linked list and doubly linked list like reversing a circular linked list, etc. If not traversed carefully, then we could end up in an infinite loop because here we don't have any We can easily traverse to its previous node in a circular linked list, which is not possible in a singly linked list. In the case of a singly linked list, the next of the last node contains the address of the first node and in case of a doubly-linked list, the next of last node contains the address of the first node and prev of the first node contains the address of the last node.Ĭircular lists are the required data structure when we want a list to be accessed in a circle or loop. Here, we can implement the Circular Linked List by making the use of Singly or Doubly Linked List. The number of modification increase while doing various operations like insertion, deletion, etc.Ī circular linked list is either a singly or doubly linked list in which there are no It will require more space as each node has an extra memory to store the address of the previous node. The insert operation is more efficient if the node is given before which insertion should take place. Think! you will get the answer in the second half of this blog) ![]() The delete operation is more efficient if the node to be deleted is given. It can be traversed both forward and backward direction. ![]()
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