Data structures are an essential part of computer science, providing a way to organize and store data efficiently. Advanced data structures are more complex and powerful than basic ones like arrays and linked lists. They can greatly enhance the performance of algorithms and applications.

Common Advanced Data Structures

Here are some common advanced data structures:

  • Binary Trees: A tree-like data structure where each node has at most two children, referred to as the left child and the right child.
  • Graphs: A collection of nodes, called vertices, and the connections between them, called edges.
  • Hash Tables: A data structure that stores key-value pairs and allows for fast retrieval of values based on their keys.
  • Heaps: A specialized tree-based data structure that satisfies the heap property, which allows for efficient retrieval of the maximum or minimum element.
  • Trie: A tree-like data structure used to store strings, providing fast lookup and efficient storage.
  • B-Trees: A self-balancing tree data structure that maintains sorted data and allows for efficient insertion and deletion.

Learning Resources

For more information on advanced data structures, you can check out our Data Structures Tutorial.

Binary Tree

Graph

Hash Table

Heap

Trie

B-Tree