# JavaScript Program for Finding Intersection Point of Two Linked Lists

In this tutorial, we will discuss two approaches to find the intersection point of two linked lists. The first approach involves using the loops, and the second approach involves using the difference of nodes technique which works in the linear time.

We will be given two linked lists that are not sorted. Note that there is another version of this problem in which we are given a sorted pair of linked lists and have to find the intersection. We have to find the elements after which all the elements in both linked lists are same. We will provide a proper code with an explanation.

## Introduction to Problem

In this problem, we are given two linked lists and both contain some numbers in an unsorted manner we have to find the numbers after which all the elements in both linked lists are the same.

For example −

If the given linked lists are:
List1: 1 -> 3 -> 2 -> 9 -> 3 -> 5 -> 8
List2: 8 -> 1 -> 4 -> 3 -> 5 -> 8
From the given linked lists, we have common points:
3, 5, and 8, and it starts from 3, so we will return 3 as the answer.


If none of the nodes is like this present that after that node all the elements including the current node are equal, then we will return null as the result.

## Nested Loop Method

In this approach, we can use two nested loops, and using both loops we can traverse over the linked lists and check if they both are same or not. We will define two linked lists and for each of them we will add a common linked list at the end to get it using the loops. Let us see the code −

### Example

class Node{
constructor(data){
this.value = data
this.next = null
}
}

while(temp != null) {
console.log(temp.value)
temp = temp.next
}
}
while(temp1 != null){
while(temp2 != null){
if(temp1 == temp2){
console.log("The intersection point is: " + temp2.value)
return
}
temp2 = temp2.next
}
temp1 = temp1.next
}
console.log("There is no intersection point")
}

var common = new Node(3)
common.next = new Node(5)
common.next.next = new Node(8)

// defining the first linked list

// defining the second linked list

// finding the intersection point


### Time and Space Complexity

The time complexity of the above code is O(N*M) where N is the size of first linked list and M is the size of the second linked list. The space complexity of the above code is O(1) as we are not using any extra space here.

## Using Difference of Nodes

In this method we will get the size of both the linked lists and then calculate the difference between the nodes of the both linked lists.

Then we will move the largest one to the difference number of nodes forward and then we will check for each node that they are equal or not.

By using this technique we can reduce the time complexity to linear. Let’s see its code −

### Example

class Node{
constructor(data){
this.value = data
this.next = null
}
}

while(temp != null){
console.log(temp.value)
temp = temp.next
}
}
// finding length of the Linked lists
var count = 0
while(temp != null){
count++;
temp = temp.next
}
return count
}

while(diffrence != 0){
diffrence --
temp1 = temp1.next;
}
while(temp1 != null) {
if(temp1 == temp2){
console.log("The intersection point is: " + temp2.value)
return
}
temp1 = temp1.next
temp2 = temp2.next
}
console.log("There is no intersection point")
}
var common = new Node(3)
common.next = new Node(5)
common.next.next = new Node(8)

// defining the first linked list

// defining the second linked list

// getting differences of the both linked lists

// finding the intersection point


### Time and Space Complexity

The time complexity of the above code is O(N+M), where N is the number of elements present in the first linked list and M is the number of elements present in the second linked list. The space complexity of the above code is O(1) as we are not using any extra space.

There are some other approaches present such as using the hash maps, making the circles in the first linked list, and traversing over from the last node for both the linked lists. These approaches also works in the linear time complexity.

## Conclusion

In this tutorial, we have implemented a JavaScript program for finding the intersection point of two linked lists. We have given two linked lists that are not going to be sorted and we have to find the element after which all the elements are same in both linked lists. We have seen two approaches one is the by using the loops and another one is by using the difference of nodes technique which works in the linear time.

Updated on: 14-Apr-2023

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