# What Is Sorted Linked List in Data Structure?

//

Scott Campbell

A sorted linked list is a type of data structure that organizes its elements in a specific order. Unlike an array, which stores elements in contiguous memory locations, a linked list consists of nodes that are connected by pointers. Each node contains both the data and a pointer to the next node in the list.

• Efficient insertion and deletion: Since the elements are already sorted, inserting or deleting an element in a sorted linked list can be done in O(1) time complexity on average. In comparison, arrays require shifting elements to maintain sorting, resulting in an O(n) time complexity.
• Faster searching: Due to the sorted nature of the list, searching for an element can be accomplished using binary search. Binary search has a time complexity of O(log n), making it more efficient than linear search used with arrays (O(n)).
• Dynamic size: Linked lists can grow or shrink dynamically as needed without requiring pre-allocation of memory like arrays.

## Implementation of Sorted Linked List

To implement a sorted linked list, we need to ensure that elements are inserted in their appropriate position while maintaining the sorting order. Here’s a simple example:

``````<pre>
class Node {
constructor(data) {
this.data = data;
this.next = null;
}
}

constructor() {
}

insert(data) {
const newNode = new Node(data);

} else {

while (current.next !== null && data >= current.next.data) {
current = current.next;
}

newNode.next = current.next;
current.next = newNode;
}
}

// Other methods like delete, search, etc.
}
</pre>``````

## Conclusion

A sorted linked list is a useful data structure that maintains elements in a specific order. It offers efficient insertion, deletion, and searching operations compared to arrays. By using appropriate HTML styling elements like bold, underline,

unordered lists

, and

• list items
• , we can make our content visually engaging and easier to understand.

Now that you have a good understanding of sorted linked lists, you can explore further and implement various operations on your own. Happy coding!