Structure: Each node has data and a pointer to the next node.
Operations:
Insertion: O(1) at head; O(n) at tail (unless a tail pointer exists).
Deletion: O(1) at head; O(n) elsewhere (need previous node).
Traversal: O(n), must visit each node in sequence.
Search: O(n), full traversal in worst case.
Doubly Linked List
Structure: Each node has data, previous pointer, and next pointer.
Operations:
Insertion/Deletion: O(1) at head or tail; O(1) in middle if node reference is known.
Traversal: O(n) forward or backward.
Search: O(n), same as singly.
Benefit: Easier bidirectional traversal and deletion without needing previous node.
Circular Linked List
Structure: Last node points back to the first node, forming a loop.
Operations:
Insertion/Deletion: O(1) at head or tail.
Traversal: O(n), but continues indefinitely without careful stopping conditions.
Search: O(n), as with other linked lists.
Benefit: Useful for round-robin scheduling or applications requiring continuous cycling.
Advantages and Disadvantages of Linked Lists
Advantages
Dynamic Size: Can grow/shrink at runtime (unlike arrays).
Efficient Insertions/Deletions: No shifting; just update pointers (O(1) if node known).
Memory Utilization: Allocates memory on demand; avoids wasted capacity.
Flexibility: Can adapt into doubly or circular lists.
Disadvantages of Linked Lists
Access Time: O(n); no direct indexing (arrays have O(1) access).
Memory Overhead: Extra space for pointers.
No Random Access: Poor choice if frequent indexed access is required.
Complexity: Pointer management can cause bugs, leaks, or dangling pointers.
Hint
When to Use Linked Lists
When dataset size changes frequently.
When frequent insertions/deletions occur (especially mid-list).
When memory utilization is important and pointer overhead is acceptable.
Aspect
Linked List
Array
Memory Utilization
Allocates dynamically
Fixed upfront size (may waste space)
Insert/Delete
O(1) (if node known)
O(n) (shifting needed)
Access
O(n), sequential
O(1), direct indexing
Flexibility
Can adapt (doubly, circular)
Fixed structure
Tip
When comparing with arrays, always mention access time (O(1) vs O(n)) and insertion/deletion efficiency.
In code/diagram questions, clearly show pointer updates (e.g., for insertion/deletion).
Visualizing Linked List Operations
Insertion (Singly): Update previous node’s pointer → new node.
Deletion (Doubly): Link prev and next nodes → bypass deleted node.
Traversal (Circular): Continue until reaching head again.
Common Mistake
Thinking linked lists always have O(1) insertion: only true if node reference (or tail pointer) is available.
Forgetting that traversal is required to access arbitrary elements (no direct indexing).
End of article
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Note
Introduction to Linked Lists
A linked list is a linear data structure where elements are stored in nodes, and each node points to the next one. Unlike arrays, linked lists do not store elements in contiguous memory locations.
Each node typically contains:
Data: The value or information.
Pointer/Reference: A link to the next node.
The first node is called the head, and the last node points to null (or nil), indicating the end of the list.
DefinitionNodeA fundamental unit of a linked list containing data and a pointer to the next node.
AnalogyThink of a linked list like a chain of paper clips, where each clip holds a piece of paper (data) and hooks onto the next clip (pointer).
Example
A simple linked list with three nodes might look like this:
Node 1: Data = 10, Pointer = Address of Node 2
Node 2: Data = 20, Pointer = Address of Node 3
Node 3: Data = 30, Pointer = null
NoteUnlike arrays, linked lists do not require a predefined size, making them more flexible for dynamic data storage.