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Binary Tree IntroductionDoubly linked lists are an advanced type of linear data structure that extends the capabilities of singly linked lists. In a doubly linked list, each node stores references to both its next and previous nodes, allowing bidirectional traversal. This structure is ideal for use cases that require frequent insertions and deletions from both ends.
A doubly linked list consists of nodes where each node contains three parts: a data value, a pointer to the next node, and a pointer to the previous node. The list starts at the head
node and ends at the tail
, which has its next
set to null
. The head
's prev
is also null
, indicating the start of the list.
Each node holds a reference to both the next and previous nodes, allowing traversal from front to back or back to front. This makes certain operations more flexible than singly linked lists.
With access to both directions, inserting or deleting nodes at either end or in the middle of the list is faster and doesn’t require a full traversal to find the previous node.
Each node in a doubly linked list stores two pointers instead of one, which increases memory consumption. This is a trade-off for the increased functionality.
Nodes are dynamically created in memory and linked using pointers, which means there's no need for contiguous memory blocks like in arrays.
While doubly linked lists are more complex to implement due to additional pointers, they provide better flexibility for many applications involving frequent data manipulation.
Because doubly linked lists allow traversal in both directions, they are ideal for implementing navigation systems like browser history or undo-redo functionality in applications.
When building a media playlist or player, moving back and forth between tracks is naturally modeled with a doubly linked list.
Deque operations (inserting and removing elements from both ends) can be done efficiently using a doubly linked list, making it the preferred structure in such cases.
In an LRU (Least Recently Used) Cache, a doubly linked list is used to track element usage order. Moving and removing elements efficiently is key to maintaining performance.
Doubly linked lists may be used as part of adjacency lists, threaded binary trees, or other complex traversal algorithms that benefit from easy backward access.
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