Understanding Binary Search Trees (BST) and Their Types

Explore what Binary Search Trees are and discover the types including Standard and Self-Balancing BSTs.

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BST stands for Binary Search Tree, a data structure where each node has at most two children. It allows for efficient searching, insertion, and deletion. The main types include Standard BST, which maintains the basic properties of left child values being less than the parent and right child values being greater, and Self-Balancing BSTs like AVL Trees and Red-Black Trees, which ensure the tree remains balanced to optimize operations.

FAQs & Answers

  1. What is a Binary Search Tree? A Binary Search Tree (BST) is a data structure where each node has at most two children, facilitating efficient searching, insertion, and deletion.
  2. What are the types of BST? The main types of Binary Search Trees include Standard BSTs, AVL Trees, and Red-Black Trees, which focus on maintaining balance for optimized operations.
  3. What is the advantage of a self-balancing BST? Self-balancing BSTs, such as AVL and Red-Black Trees, automatically maintain their height, ensuring operations remain efficient even with numerous insertions and deletions.
  4. How do AVL Trees differ from Red-Black Trees? AVL Trees maintain a stricter balance than Red-Black Trees, which may allow for more unbalanced structures but tends to involve fewer rotations during insertions and deletions.