notes/OJ notes/pages/Leetcode Insert-Into-a-Binary-Search-Tree.md
2022-07-10 08:29:59 +08:00

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# Leetcode Insert-Into-a-Binary-Search-Tree
#### 2022-07-07 08:50
> ##### Algorithms:
> #algorithm #recursion #DFS
> ##### Data structures:
> #DS #binary_tree
> ##### Difficulty:
> #coding_problem #difficulty-medium
> ##### Additional tags:
> #leetcode
> ##### Revisions:
> N/A
##### Related topics:
```expander
tag:#DFS
```
- [[Leetcode Binary-Tree-Inorder-Traversal]]
- [[Leetcode Binary-Tree-Postorder-Traversal]]
- [[Leetcode Binary-Tree-Preorder-Traversal]]
- [[Leetcode Invert-Binary-Tree]]
- [[Leetcode Lowest-Common-Ancestor-Of-a-Binary-Search-Tree]]
- [[Leetcode Maximum-Depth-Of-Binary-Tree]]
- [[Leetcode Path-Sum]]
- [[Leetcode Search-In-a-Binary-Tree]]
- [[Leetcode Symmetric-Tree]]
- [[Leetcode Validate-Binary-Search-Tree]]
##### Links:
- [Link to problem](https://leetcode.com/problems/insert-into-a-binary-search-tree/)
___
### Problem
You are given the root node of a binary search tree (BST) and a value to insert into the tree. Return the root node of the BST after the insertion. It is guaranteed that the new value does not exist in the original BST.
Notice that there may exist multiple valid ways for the insertion, as long as the tree remains a BST after insertion. You can return any of them.
#### Examples
**Example 1:**
![](https://assets.leetcode.com/uploads/2020/10/05/insertbst.jpg)
**Input:** root = [4,2,7,1,3], val = 5
**Output:** [4,2,7,1,3,5]
**Explanation:** Another accepted tree is:
![](https://assets.leetcode.com/uploads/2020/10/05/bst.jpg)
**Example 2:**
**Input:** root = [40,20,60,10,30,50,70], val = 25
**Output:** [40,20,60,10,30,50,70,null,null,25]
**Example 3:**
**Input:** root = [4,2,7,1,3,null,null,null,null,null,null], val = 5
**Output:** [4,2,7,1,3,5]
#### Constraints
- The number of nodes in the tree will be in the range `[0, 104]`.
- `-108 <= Node.val <= 108`
- All the values `Node.val` are **unique**.
- `-108 <= val <= 108`
- It's **guaranteed** that `val` does not exist in the original BST.
### Thoughts
> [!summary]
> This is a #DFS problem.
Seems that no one seems to care about the second way, since it's way too complex.
#### DFS
DFS-like solution is a simple recursion problem, using a helper function.
##### Edge case:
root is null, simple return a new node.
##### Base cases:
- left side is empty, and val < root->val: place it in
- right side is empty, and val > root->val: place it in
##### Pseudocode:
- check for base cases
- if val < root->val, insert(root->left, val)
- vice, versa.
#### BFS
### Solution