LibraryLinked Lists: Singly, Doubly, Circular

Linked Lists: Singly, Doubly, Circular

Learn about Linked Lists: Singly, Doubly, Circular as part of GATE Computer Science - Algorithms and Data Structures

Linked Lists: Singly, Doubly, and Circular

Linked lists are fundamental linear data structures that store a collection of elements, called nodes. Unlike arrays, linked lists do not store elements in contiguous memory locations. Instead, each node contains the data element and a pointer (or link) to the next node in the sequence. This dynamic nature allows for efficient insertion and deletion of elements.

Singly Linked Lists

A singly linked list is the most basic form. Each node contains two parts: the data and a pointer to the next node. The last node's pointer typically points to

code
NULL
or
code
None
, indicating the end of the list. Traversal is only possible in the forward direction.

Singly linked lists allow forward traversal via a single pointer per node.

Each node has data and a 'next' pointer. The last node points to null. Operations like insertion and deletion at the beginning are O(1), but at the end or middle require O(n) traversal.

In a singly linked list, each node is structured as Node { data: value, next: pointer_to_next_node }. The list is managed by a head pointer, which points to the first node. To traverse the list, you start at the head and follow the next pointers until you reach a node whose next pointer is null. Insertion at the beginning involves creating a new node, setting its next pointer to the current head, and updating the head to point to the new node. Deletion at the beginning is similar: update the head to point to the second node. Operations in the middle or at the end, however, require traversing the list to find the correct position, making them O(n) time complexity.

What is the time complexity for inserting an element at the beginning of a singly linked list?

O(1)

Doubly Linked Lists

A doubly linked list enhances the singly linked list by providing bidirectional traversal. Each node in a doubly linked list contains three parts: a pointer to the previous node, the data, and a pointer to the next node. This structure allows for efficient traversal in both forward and backward directions.

A doubly linked list node has three components: prev (pointer to the previous node), data (the actual value), and next (pointer to the next node). The head points to the first node, and a tail pointer often points to the last node. The prev pointer of the first node is NULL, and the next pointer of the last node is NULL. This structure enables efficient insertion and deletion at any point in the list, as well as traversal in both directions. For example, to insert a node after a given node X, you would update X.next.prev, X.next, and X.prev pointers.

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The ability to traverse backward significantly simplifies operations like deletion, as you can easily access the previous node. Insertion and deletion at any position (beginning, middle, or end) can be performed in O(1) time, provided you have a pointer to the node where the operation needs to occur. If you only have the value, finding the node still takes O(n) time.

What is the advantage of a doubly linked list over a singly linked list regarding traversal?

Doubly linked lists allow traversal in both forward and backward directions, while singly linked lists only allow forward traversal.

Circular Linked Lists

A circular linked list is a variation where the last node's pointer points back to the first node (the head), forming a circle. This eliminates the need for a

code
NULL
pointer to signify the end. Circular linked lists can be singly or doubly linked.

In a circular singly linked list, the

code
next
pointer of the last node points to the head. This is useful for implementing round-robin scheduling or managing queues where the last element needs to connect back to the first. Traversal can continue indefinitely until a specific condition is met or a full cycle is completed. Operations like insertion and deletion are similar to their linear counterparts but require careful handling of the circular pointers.

FeatureSingly Linked ListDoubly Linked ListCircular Linked List
Node StructureData, Next PointerData, Next Pointer, Previous PointerData, Next Pointer (last points to head)
Traversal DirectionForward OnlyForward and BackwardForward (potentially infinite loop if not managed)
End of ListNext pointer is NULLNext pointer is NULLNext pointer points to Head
Insertion/Deletion (at known node)O(1) at head, O(n) elsewhereO(1) anywhereO(1) at head, O(n) elsewhere (requires careful pointer management)
Memory OverheadLowerHigher (due to prev pointer)Similar to Singly/Doubly depending on type

Understanding the pointer manipulation for insertion and deletion at various positions is crucial for linked list problems in competitive exams.

Applications and Considerations

Linked lists are used in various applications, including implementing stacks, queues, dynamic memory allocation, and representing polynomial expressions. When choosing between singly, doubly, or circular linked lists, consider the specific requirements of the problem, such as the need for backward traversal or efficient deletion at arbitrary positions.

Learning Resources

GeeksforGeeks: Linked Lists(documentation)

A comprehensive resource covering all types of linked lists with detailed explanations, C/C++/Java implementations, and common operations.

TutorialsPoint: Linked List(tutorial)

Provides clear explanations and step-by-step algorithms for various linked list operations, including insertion, deletion, and traversal.

Programiz: Singly Linked List(tutorial)

Focuses specifically on singly linked lists with visual aids and code examples in Python, making it easy to grasp the core concepts.

Programiz: Doubly Linked List(tutorial)

Explains doubly linked lists with clear diagrams and Python code, highlighting the advantages of bidirectional traversal.

Programiz: Circular Linked List(tutorial)

Details circular linked lists, including their implementation and use cases, with illustrative examples.

Coursera: Data Structures and Algorithms Specialization (Linked Lists Module)(video)

Offers video lectures and assignments on data structures, including a thorough module on linked lists from a reputable university.

Khan Academy: Linked Lists(wikipedia)

A foundational explanation of linked lists, suitable for beginners, covering the basic concepts and structure.

Stack Overflow: Linked List Questions(blog)

A community forum where you can find answers to specific questions and common issues related to linked lists.

InterviewBit: Linked Lists(tutorial)

Focuses on linked list concepts relevant to coding interviews and competitive programming, with practice problems.

Wikipedia: Linked List(wikipedia)

Provides a broad overview of linked lists, their history, variations, and applications in computer science.