Câu hỏi phỏng vấn Binary Tree
Câu hỏi

What are advantages and disadvantages of BST?

Câu trả lời

Advantages and Disadvantages of Binary Search Trees (BST)

Advantages

  1. Efficient Searching:

    • BSTs allow for efficient searching operations with a time complexity of $$O(\log n)$$ when the tree is balanced. This is because each comparison allows the algorithm to skip about half of the remaining tree, similar to binary search in a sorted array[2][4][6].
  2. Ordered Structure:

    • Elements in a BST are stored in a sorted order, which makes it easy to perform operations like finding the minimum or maximum element, and performing range queries. In-order traversal of a BST will yield elements in ascending order[9][12].
  3. Dynamic Insertion and Deletion:

    • BSTs support dynamic insertion and deletion of elements. These operations can also be performed in $$O(\log n)$$ time when the tree is balanced[6][14].
  4. Space Efficiency:

    • BSTs are relatively space-efficient as they only require pointers to child nodes, making them suitable for applications where memory usage is a concern[4].
  5. Versatility:

    • BSTs can be used to implement various data structures like TreeMap and TreeSet in Java, which are used for efficient data storage and retrieval[6].
  6. Range Queries:

    • BSTs are particularly good for range queries, where you need to find all elements within a certain range. This is more complex to implement with hash tables[12].

Disadvantages

  1. Not Self-Balancing:

    • A standard BST does not automatically balance itself. This can lead to poor performance if the tree becomes unbalanced, with operations degrading to $$O(n)$$ time complexity in the worst case[4][6][14].
  2. Complex Balancing Algorithms:

    • To maintain a balanced tree, additional algorithms like AVL trees or Red-Black trees are required. These algorithms add complexity and overhead to the implementation[4][14].
  3. Memory Overhead:

    • Each node in a BST requires additional memory to store pointers to its child nodes. This can be a significant overhead compared to other data structures like arrays or hash tables[4][14].
  4. Limited Functionality:

    • BSTs are primarily designed for searching, insertion, and deletion operations. They are not as versatile as other data structures like hash tables, ...
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Classify Tree Traversal Algorithms. Provide some visual explanation.

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Explain the difference between Binary Tree and Binary Search Tree with an example?

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What's the main reason for choosing Red Black (RB) trees instead of AVL trees?

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