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Applications of linked list data structure

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  • Difficulty Level : Medium
  • Last Updated : 29 Jan, 2023
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A linked list is a linear data structure, in which the elements are not stored at contiguous memory locations. The elements in a linked list are linked using pointers as shown in the below image: 


Applications of linked list in computer science:

  1. Implementation of stacks and queues
  2. Implementation of graphs: Adjacency list representation of graphs is the most popular which uses a linked list to store adjacent vertices.
  3. Dynamic memory allocation: We use a linked list of free blocks.
  4. Maintaining a directory of names
  5. Performing arithmetic operations on long integers
  6. Manipulation of polynomials by storing constants in the node of the linked list
  7. representing sparse matrices

Applications of linked list in the real world:

  1. Image viewer – Previous and next images are linked and can be accessed by the next and previous buttons.
  2. Previous and next page in a web browser – We can access the previous and next URL searched in a web browser by pressing the back and next buttons since they are linked as a linked list.
  3. Music Player – Songs in the music player are linked to the previous and next songs. So you can play songs either from starting or ending of the list.
  4. GPS navigation systems- Linked lists can be used to store and manage a list of locations and routes, allowing users to easily navigate to their desired destination.
  5. Robotics- Linked lists can be used to implement control systems for robots, allowing them to navigate and interact with their environment.

Applications of Circular Linked Lists:

  1. Useful for implementation of a queue. Unlike this implementation, we don’t need to maintain two-pointers for the front and rear if we use a circular linked list. We can maintain a pointer to the last inserted node and the front can always be obtained as next of last.
  2. Circular lists are useful in applications to go around the list repeatedly. For example, when multiple applications are running on a PC, it is common for the operating system to put the running applications on a list and then cycle through them, giving each of them a slice of time to execute, and then making them wait while the CPU is given to another application. It is convenient for the operating system to use a circular list so that when it reaches the end of the list it can cycle around to the front of the list.
  3. Circular Doubly Linked Lists are used for the implementation of advanced data structures like the Fibonacci Heap.
  4. Circular linked lists can be used to implement circular queues, which are often used in operating systems for scheduling processes and managing memory allocation.
  5. Used in database systems to implement linked data structures, such as B+ trees, which are used to optimize the storage and retrieval of data.
  6. Circular linked lists can be used in networking. For instance, to implement circular buffers for streaming data, such as video and audio, in networking applications.

Application of Doubly Linked Lists:

  1. Redo and undo functionality.
  2. Use of the Back and forward button in a browser.
  3. The most recently used section is represented by the Doubly Linked list.
  4. Other Data structures like Stack, HashTable, and BinaryTree can also be applied by Doubly Linked List.
  5. Used to implement game objects and their interactions in a game engine.
  6. Used in networking.
  7. Used in Graph algorithms.


Design a data structure that supports following operations efficiently.

  1. getMin : Gets minimum
  2. extractMin : Removes minimum
  3. getMax : Gets maximum
  4. extractMax : Removes maximum
  5. insert : Inserts an item. It may be assumed that the inserted item is always greater than maximum so far. For example, a valid insertion order is 10, 12, 13, 20, 50.

Explanation: Doubly linked list is the best solution here. We maintain head and tail pointers, since inserted item is always greatest, we insert at tail. Deleting an item from head or tail can be done in O(1) time. So all operations take O(1) time. 

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