Suppose we have a Queue as follows: E -> D -> C -> B
We maintain a head pointer to E and a tail pointer to B.
To add an element, we make a new queue item (say A), we set B->next = A, and set tail = A.
To delete an element, we let a temp pointer to the head (say tempHead = head), set head = E->next and deallocate tempHead.
examples:- delete this node (identified by a pointer)- insert a new node before this node- replace this node with another node
Assume the Linked list has following operations 1.node* insert(node* node, bool head); /* head = true if insertion at head else insertion at tail */ 2. node* remove(bool head); /* head = true if removal at head else removal at tail */ Now implement the stack functions as below. STK_RET push(node* pnode) { node* head; head = insert(pnode, true); /* insert the node at head */ if (head) return STK_OK; else return STK_NOK; } similarly pop can be implemented to remove the node at head Also the conventioin of inserting and removal from the tail can be used.
In a doubly linked list, you can iterate backwards as easily as forwards, as each element contains links to both the prior and the following element. You can also insert or delete an element without needing to iterate and remember the prior element's link. This comes at a cost. You are adding storage to each element for the second link, and you are adding processing overhead to the insert and delete operation. You have to determine the tradeoff.
Well, in a singly linked list you can only move forward, if the pointer you seek is behind your current position you'll have to cross the hole list to get there. In a doubly linked list you can simply move back as well as forward.... hope this helps...
You sort a doubly linked list the same way you sort any other kind of list or array. You implement a procedure to sort the list or array, and that procedure calls the appropriate insert, delete, or move methods of the list or array.
examples:- delete this node (identified by a pointer)- insert a new node before this node- replace this node with another node
Assume the Linked list has following operations 1.node* insert(node* node, bool head); /* head = true if insertion at head else insertion at tail */ 2. node* remove(bool head); /* head = true if removal at head else removal at tail */ Now implement the stack functions as below. STK_RET push(node* pnode) { node* head; head = insert(pnode, true); /* insert the node at head */ if (head) return STK_OK; else return STK_NOK; } similarly pop can be implemented to remove the node at head Also the conventioin of inserting and removal from the tail can be used.
It is easier to insert into a singly linked list.
Yes it is possible to implement stack and queue using linked list
Yes, it is easy.
One advantage of a linked list (with pointers) is that it is fairly cheap to insert or delete an element - once you know where it is. A disadvantage is that getting a specific element - for example, the 1000th. element - is expensive.
In a doubly linked list, you can iterate backwards as easily as forwards, as each element contains links to both the prior and the following element. You can also insert or delete an element without needing to iterate and remember the prior element's link. This comes at a cost. You are adding storage to each element for the second link, and you are adding processing overhead to the insert and delete operation. You have to determine the tradeoff.
Well, in a singly linked list you can only move forward, if the pointer you seek is behind your current position you'll have to cross the hole list to get there. In a doubly linked list you can simply move back as well as forward.... hope this helps...
You sort a doubly linked list the same way you sort any other kind of list or array. You implement a procedure to sort the list or array, and that procedure calls the appropriate insert, delete, or move methods of the list or array.
void pointer
When inserting or extracting at the end of a singly-linked list or at the beginning or end of a doubly-linked list, the complexity is constant time. Inserting or extracting in the middle of a list has linear complexity, with best case O(1) when the insertion or extraction point is already known in advance and a worst case of O(n) when it is not.
CRUD stands for Create, Read, Update, and Delete, which are the four basic operations for managing data in a database or data structure. In C programming, these operations can be implemented using structures and arrays or linked lists. For example, you can create a new entry by adding a structure to an array, read data by accessing elements, update data by modifying specific fields, and delete data by removing or marking elements. CRUD operations are fundamental for developing applications that require data management.