Javascript Program For Inserting Node In The Middle Of The Linked List
Last Updated :
23 Jul, 2025
Given a linked list containing n nodes. The problem is to insert a new node with data x at the middle of the list. If n is even, then insert the new node after the (n/2)th node, else insert the new node after the (n+1)/2th node.
Examples:
Input : list: 1->2->4->5
x = 3
Output : 1->2->3->4->5
Input : list: 5->10->4->32->16
x = 41
Output : 5->10->4->41->32->16
Method 1(Using length of the linked list):
Find the number of nodes or length of the linked using one traversal. Let it be len. Calculate c = (len/2), if len is even, else c = (len+1)/2, if len is odd. Traverse again the first c nodes and insert the new node after the cth node.
JavaScript
// Javascript implementation to insert node
// at the middle of the linked list
let head; // head of list
/* Node Class */
class Node {
// Constructor to create a new node
constructor(d) {
this.data = d;
this.next = null;
}
}
// function to insert node at the
// middle of the linked list
function insertAtMid(x) {
// if list is empty
if (head == null)
head = new Node(x);
else {
// get a new node
let newNode = new Node(x);
let ptr = head;
let len = 0;
// calculate length of the linked list
// , i.e, the number of nodes
while (ptr != null) {
len++;
ptr = ptr.next;
}
// 'count' the number of nodes after which
// the new node is to be inserted
let count = ((len % 2) == 0) ? (len / 2) :
(len + 1) / 2;
ptr = head;
// 'ptr' points to the node after which
// the new node is to be inserted
while (count-- > 1)
ptr = ptr.next;
// insert the 'newNode' and adjust
// the required links
newNode.next = ptr.next;
ptr.next = newNode;
}
}
// function to display the linked list
function display() {
let temp = head;
while (temp != null) {
console.log(temp.data);
temp = temp.next;
}
}
// Driver program to test above
// Creating the list 1.2.4.5
head = new Node(1);
head.next = new Node(2);
head.next.next = new Node(4);
head.next.next.next = new Node(5);
console.log("Linked list before insertion: ");
display();
let x = 3;
insertAtMid(x);
console.log("Linked list after insertion: ");
display();
// This code contributed by Rajput-Ji
OutputLinked list before insertion:
1
2
4
5
Linked list after insertion:
1
2
3
4
5
Complexity Analysis:
- Time Complexity : O(n)
- Auxiliary Space : O(1)
Method 2(Using two pointers):
Based on the tortoise and hare algorithm which uses two pointers, one known as slow and the other known as fast. This algorithm helps in finding the middle node of the linked list. It is explained in the front and black split procedure of this post. Now, you can insert the new node after the middle node obtained from the above process. This approach requires only a single traversal of the list.
JavaScript
// Javascript implementation to insert node
// at the middle of the linked list
let head; // head of list
/* Node Class */
class Node {
// Constructor to create a new node
constructor(val) {
this.data = val;
this.next = null;
}
}
// function to insert node at the
// middle of the linked list
function insertAtMid(x) {
// if list is empty
if (head == null)
head = new Node(x);
else {
// get a new node
let newNode = new Node(x);
// assign values to the slow
// and fast pointers
let slow = head;
let fast = head.next;
while (fast != null && fast.next != null) {
// move slow pointer to next node
slow = slow.next;
// move fast pointer two nodes
// at a time
fast = fast.next.next;
}
// insert the 'newNode' and adjust
// the required links
newNode.next = slow.next;
slow.next = newNode;
}
}
// function to display the linked list
function display() {
let temp = head;
while (temp != null) {
console.log(temp.data + " ");
temp = temp.next;
}
}
// Driver program to test above
// Creating the list 1.2.4.5
head = null;
head = new Node(1);
head.next = new Node(2);
head.next.next = new Node(4);
head.next.next.next = new Node(5);
console.log("Linked list before insertion: ");
display();
let x = 3;
insertAtMid(x);
console.log("Linked list after insertion: ");
display();
// This code is contributed by todaysgaurav
OutputLinked list before insertion:
1
2
4
5
Linked list after insertion:
1
2
3
4
5
Complexity Analysis:
- Time Complexity: O(n)
- Space complexity: O(n) where n is size of linked list
Please refer complete article on Insert node into the middle of the linked list for more details!
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