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Doubly Linked List Visualizer

STEM Interactive Visual Learning Program at TEC-Bridge AI

List Setup

Tip: Doubly Linked List supports forward and backward traversal with both 'prev' and 'next' pointers

List Operations

List Visualization

Operation Steps

How to Use

  1. Setup: Enter values separated by commas or click "Random" to generate a list
  2. Traverse: Click "Traverse" to visit each node sequentially
  3. Search: Enter a value and click "Search" to find its position
  4. Insert: Enter position and value, then click "Insert" to add a new node
  5. Delete: Enter position and click "Delete" to remove a node
  6. Reset: Click "Reset" to restore the original list and clear all operations

Colors: Orange = Current Node, Green = Found/Success, Blue = New Node, Red = Deleted

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Note: Each node in a doubly linked list has both 'prev' (backward) and 'next' (forward) pointers for bidirectional traversal.

Doubly Linked List Concept

Doubly Linked List is a linear data structure where elements are stored in nodes, and each node contains data, a pointer to the next node, and a pointer to the previous node.

Key Characteristics:

  • Dynamic size (grows/shrinks during runtime)
  • Bidirectional traversal (forward and backward)
  • Each node has data, prev pointer, and next pointer
  • Head pointer points to first node
  • Tail pointer points to last node
  • First node's prev points to NULL
  • Last node's next points to NULL

Purpose & Applications

Why use Doubly Linked Lists?

  • Dynamic memory allocation
  • Efficient insertion/deletion at both ends
  • Bidirectional traversal capability
  • No memory waste
  • Flexible size management
  • Backward traversal support

Common Applications:

  • Implementation of deques (double-ended queues)
  • Undo/redo functionality in applications
  • Music playlist with forward/backward navigation
  • Web browser history with back/forward buttons
  • LRU (Least Recently Used) cache implementation
  • Text editor with bidirectional cursor navigation

Time & Space Complexity

Operation Time Complexity Space Complexity
Access O(n) O(1)
Search O(n) O(1)
Insert at Head O(1) O(1)
Insert at Position O(n) O(1)
Delete at Head O(1) O(1)
Delete at Position O(n) O(1)
Traversal O(n) O(1)

Strengths & Limitations

Strengths:

  • Dynamic size allocation
  • Efficient insertion at head O(1)
  • No memory waste
  • Simple structure
  • Easy to implement

Limitations:

  • No random access O(n)
  • Extra memory for two pointers (more than singly)
  • Not cache-friendly
  • More complex implementation than singly linked list
  • More pointer updates during insertion/deletion

Doubly Linked List Code Implementation

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