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Tree Set Data Structure Visualizer

STEM Interactive Visual Learning Program at TEC-Bridge AI

Tree Set Operations

Statistics

Tree Traversal

Tree Set Visualization

Operation Steps

How to Use

  1. Add: Enter element (e.g., "50") and click "Add"
  2. Sample Data: Click Sample Data to populate with examples.
  3. Contains: Enter element to check if it exists
  4. Remove: Enter element to remove from tree
  5. Traversals: Click traversal buttons to see different orders

Tree Set Concept

Tree Set is a sorted set implementation using a balanced binary search tree (Red-Black Tree).

Key Characteristics:

  • Maintains elements in sorted order
  • No duplicate elements allowed
  • Self-balancing for optimal performance
  • Supports range operations efficiently
  • O(log n) time complexity for basic operations

Binary Search Tree Property: For each node, all elements in the left subtree are smaller, and all elements in the right subtree are larger.

Self-Balancing: The tree automatically maintains balance to ensure O(log n) performance, preventing degeneration into a linked list.

Applications

  • Maintaining sorted collections
  • Range queries and operations
  • Finding closest elements
  • Ordered iteration
  • Priority-based processing

Hash Set vs Tree Set

AspectHash SetTree Set
Time ComplexityO(1) averageO(log n)
OrderingNo orderSorted order
ImplementationHash tableBinary search tree
Memory UsageLowerHigher (tree nodes)
Range OperationsNot supportedEfficient
Iteration OrderUnpredictableSorted
Best Use CaseFast lookupsSorted data

Time Complexity

OperationAverageWorst
AddO(log n)O(log n)
ContainsO(log n)O(log n)
RemoveO(log n)O(log n)
TraversalO(n)O(n)

Space Complexity

ComponentSpace
Tree StorageO(n)
Recursion StackO(log n)

Strengths

  • Guaranteed O(log n) performance
  • Maintains sorted order
  • Efficient range operations
  • Self-balancing

Limitations

  • Higher overhead than hash sets
  • More complex implementation
  • Slower than hash sets for basic operations
  • Requires comparable elements

When to Choose

Choose Hash Set when:

  • Need fastest possible lookups
  • Order doesn't matter
  • Memory is a concern
  • Simple membership testing

Choose Tree Set when:

  • Need sorted iteration
  • Range operations required
  • Finding min/max elements
  • Ordered data processing

Code Implementation

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