This tutorial explains about linked List concept. it contains types of linked list also. All possible graphical representations are included for better understanding.
Size: 1.7 MB
Language: en
Added: Apr 06, 2020
Slides: 39 pages
Slide Content
Prepared By:
Dr. Chandan Kumar
Assistant Professor, Computer Science & Engineering Department
Invertis University, Bareilly
Introduction
A linked list is a linear data structure which is used to store
a collection of elements.
Each element in a linked list is represented by node.
It is a best example of dynamic data structure that uses
pointer for the implementation
Each node contain two parts
Data part or info part -which is used to store the element
Link part or address part-which is used to stores the link to
the next node.
Node
Data Link
Introduction
Linked list require more memory compare to array for
the same size of the elements because along with data
or value it also store pointer to next node.
It is the most common and simplest data structure.
They can be used to implement other data structure
like stack and queue etc.
Finally, we can say that a linked list is a set of
dynamically allocated nodes, organizedin
suchawaythateachnodehasavalueandapointer.
Introduction
ArraysandLinkedListsarebothlineardatastructures
sotheydohavesomeadvantagesanddrawbacksover
eachother.
Now let us look at the difference between arrays and
linked list.
Arrays Vs Linked List
Arrays Linked Lists
Collection of elements of
similar data type
Support random access using
indexing
Best suitable for fixed size
elements implementation
Insertion and deletion of
elements are inefficient i.e.
elements are usually shifted
An ordered collection of
elements of the same type
where each element is
linkedusingpointerstothe
nextone.
Doesn’t support random
access
Support Dynamic size
Insertion and deletion of
elements are efficient i.e. no
shifting
Arrays Vs Linked List
Arrays Linked Lists
Memory is allocated
statically or compile time
Wastage of memory if the
allocated memory is not fully
utilized
Data elements are stored in
computer memory in
contiguous location; so access
is faster
Size must be specified at the
time of array declaration
Memory is allocated
dynamically or run time
There is no wastage of memory
Newelementscanbestored
anywhere,anduse pointers
tocreateareferenceforthe
newelement; so access is slow
Size of a Linked list
grows/shrinks as and when new
elements are inserted/deleted.
Types of Linked List
There are two types of linked list
Single or Singly linked list (SLL)
Single Circular Linked List
Double or Doubly linked list (DLL)
Double Circular Linked List
Singly Linked List (SLL)
This is a fundamental type of linked list
Each node has two part
Data or info part-contain actual value or information
Next or link part –contain pointer or address of the next node
Last node contain NULL value in link part which indicated
end of the node
Traversing is allowed only in forward direction
It uses less memory as compare to doubly linked list per
node ( Single pointer)
Singly Linked List (SLL)
Complexity of insertion and deletion at a known
position is O(n)
We prefer SLL If we need to save memory and
searching is not required
Singly linked list can mostly be used for stacks
Singly Linked List (SLL)
For Example
Theabovefigureshowsasinglylinkedlist.Thefirstnode
isalwaysusedasareferencetotraversethelistandis
calledHEAD.ThelastnodepointstoNULL.
Singly Linked List (SLL)
ASingly linkedlistcanbeimplementedin C
programming langauge using the structure and
thepointer.
struct LinkedList
{
int data;
struct LinkedList *next;
};
This definition is used tobuild
everynodeinthelist.
Thedatafieldstorestheelement,
andthenext field is a pointer to
storethenextnode'saddress.
Implementation of SLL in C language
#include<conio.h>
#include<stdio.h>
void main()
{
structnode
{
intvalue;
structnode *next;
}*a,*b,*c;
clrscr();
a->value=5;
b->value=6;
c->value=7;
Implementation of SLL in C language
a->next=b;
b->next=c;
c->next=NULL;
printf("\nNodea\n value=%d and Next =%u",a->value,a->next);
printf("\nNodeb\n value=%d and next =%u",a->next->value,a-
>next->next);
printf("\nNodec\n value=%d and next=%u",a->next->next-
>value,a->next->next->next);
getch();
}
Output
Single Circular Linked List
Each node has two parts like SLL
No beginning and No end
Does not contain NULL pointer like SLL
Last node is connected to first node i.e. link part of last
node contain address of first node
Traversing allowed only in forward direction
Time saving when we want to go from last node to first
node
A good example where it is used is a timesharing
problem solved by operating system
Single Circular Linked List
For example
Doubly Linked List (DLL)
Each node has three parts, one data part and two link
part
Data part contain actual value
One link part contain next pointer to point next node
Another link part contain previous pointer to point
previous node
Doubly Linked List (DLL)
// C language to represent a node for DLL
struct node
{
int info;
struct node *next;
struct node *prev;
};
Doubly Linked List (DLL)
Traversing is possible in both directions i.e. forward and
backward directions
Required more memory as compare to SLL for the same
size ( two pointers required)
Previous link part value of first node and next link part
value of last node has value NULL
Complexity of insertion and deletion at a known position is
O(1)
We prefer DLL If we need better performance while
searching and memory is not a limitation
Can be used to implement stacks, heaps, binary trees
Doubly Linked List (DLL)
For Example:
Doubly Circular Linked List
Each node has three parts like DLL
No beginning and No end
Does not contain NULL pointer like DLL
First node is connected to the last node and Last node is
connected to first node i.e. previous pointer of the first
node contain address of last node and next pointer of last
node contain address of first node
Traversing allowed in both directions i.e. forward and
backward directions
Time saving when we want to go from last node to first
node and vice versa
Doubly Circular Linked List
For example
Operation performed on Linked List
The operations which can be performed on a linked list
follow:
1.Creation
2.Insertion
3.Deletion
4.Traversing
5.Searching
6.Concatenation
7.Display
Creation
This operation is used to create a linked list
Memory allocated for nodes
Creating first node
head = (node*) malloc (sizeof(node));
head -> data = 50;
head -> next = NULL;
Insertion
Used to insert a new node in the linked list
Insertion take place at different places such as
At beginning of the linked list
At the end of the linked list
At specified position i.e. between any two nodes
Inserting a node is a more than one step activity
Created node must be in same structure
Insertion
At beginning of the linked list
Here we want to add Node X
Before inserting Node X
Insertion
After inserting Node X
New Node becomes new head of the linked list and next pointer
points to the Node A
Insertion
At the end of the linked list
Here we want to add Node X
Before inserting Node X
Insertion
After inserting Node X
next pointer of Node D pointes to new Node X and the
value of next pointer of Node D becomes NULL
Insertion
At specified position i.e. between any two nodes
Here we want to add Node X between Node B and Node C
Before inserting Node X
Insertion
After inserting Node X
Here, next pointer of Node B pointes to new Node X and next
pointer of Node X pointes to Node C
Deletion
Used to delete a node from the list
Deletion take place at different places such as similarly
insertion operation
From beginning of the linked list
From the end of the linked list
From specified position i.e. between any two nodes
Deleting a node is a more than one step activity
Deletion
Here we want to delete third node i.e. Node C from the
linked list
Next pointer of node B points to Node D
Similarly other deletion process will be done
Traversing
It is a process of examine all nodes of linked list i.e.
one end to the other end
Recursive function is used to traverse a linked list in a
reverse order
Going through first node to last node is called forward
traversing
Going through last node to first node is called
backward traversing
Searching
Process to find a desired element in the linked list
Sequential or linear search is the most common search
used in linked list
Traverse all nodes one by one and matches with key
value
There are two outcomes
Search is successful, if desired element is found in the
linked list
Search is unsuccessful, is desired element is not found in
the linked list
Concatenation
Process of appending second list to the end of the first
list
After concatenation, the linked list size will increases
This is simply done by pointing next pointer of last
node of first linked list to first node of the second
linked list
Display
Used to print information of each nodes in a linked list
Also display complete linked list