if something like remove the number 24 is called on this non self balancing binary search tree, what value is going to be inside the root after the remove operation is done, the options are 30,14,18,11,21,20

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if something like remove the number 24 is called on this non self balancing binary search tree, what value is going to be inside the root after the remove operation is done, the options are 30,14,18,11,21,20

This diagram depicts a binary search tree (BST), a data structure used in computer science to maintain a dynamic set of items. A BST allows for efficient searching, insertion, and deletion operations.

### Diagram Details:

- **Root Node**: 
  - The topmost node is `24`, representing the root of the tree.

- **Left Subtree**:
  - From `24`, a line branches to `18`, which is the root of the left subtree.
  - `18` further branches to `11` on the left and `21` on the right.
  - `21` has a left child, `14`, and a right child, `20`.

- **Right Subtree**:
  - From `24`, a line branches to `30`, representing the right child.

### Characteristics of the Binary Search Tree:

- **Left Child Values**: Any node's left child contains a value less than the node.
- **Right Child Values**: Any node's right child contains a value greater than the node.

### Structural Explanation:

- **Node `24`**: The root of the tree.
- **Node `18`**: Left child of `24`, with children `11` and `21`.
- **Node `30`**: Right child of `24`, with no children.
- **Node `11`**: Left child of `18`, with no children.
- **Node `21`**: Right child of `18`, with children `14` and `20`.
- **Node `14`**: Left child of `21`, with no children.
- **Node `20`**: Right child of `21`, with no children.

This binary search tree effectively allows operations like search, insert, and delete with time complexity proportional to the height of the tree. The structure ensures any operations are logarithmic on average if the tree is balanced.
Transcribed Image Text:This diagram depicts a binary search tree (BST), a data structure used in computer science to maintain a dynamic set of items. A BST allows for efficient searching, insertion, and deletion operations. ### Diagram Details: - **Root Node**: - The topmost node is `24`, representing the root of the tree. - **Left Subtree**: - From `24`, a line branches to `18`, which is the root of the left subtree. - `18` further branches to `11` on the left and `21` on the right. - `21` has a left child, `14`, and a right child, `20`. - **Right Subtree**: - From `24`, a line branches to `30`, representing the right child. ### Characteristics of the Binary Search Tree: - **Left Child Values**: Any node's left child contains a value less than the node. - **Right Child Values**: Any node's right child contains a value greater than the node. ### Structural Explanation: - **Node `24`**: The root of the tree. - **Node `18`**: Left child of `24`, with children `11` and `21`. - **Node `30`**: Right child of `24`, with no children. - **Node `11`**: Left child of `18`, with no children. - **Node `21`**: Right child of `18`, with children `14` and `20`. - **Node `14`**: Left child of `21`, with no children. - **Node `20`**: Right child of `21`, with no children. This binary search tree effectively allows operations like search, insert, and delete with time complexity proportional to the height of the tree. The structure ensures any operations are logarithmic on average if the tree is balanced.
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