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Merge pull request #1381 from wzqwtt/tree07
添加(0104.二叉树的最大深度、0111.二叉树的最小深度)Scala版本
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@ -495,7 +495,7 @@ class solution:
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## go
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### 104.二叉树的最大深度
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```go
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/**
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* definition for a binary tree node.
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@ -548,6 +548,8 @@ func maxdepth(root *treenode) int {
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## javascript
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### 104.二叉树的最大深度
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```javascript
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var maxdepth = function(root) {
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if (root === null) return 0;
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@ -595,6 +597,8 @@ var maxDepth = function(root) {
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};
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```
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### 559.n叉树的最大深度
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N叉树的最大深度 递归写法
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```js
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var maxDepth = function(root) {
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@ -627,9 +631,9 @@ var maxDepth = function(root) {
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};
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```
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## TypeScript:
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## TypeScript
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> 二叉树的最大深度:
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### 104.二叉树的最大深度
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```typescript
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// 后续遍历(自下而上)
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@ -672,7 +676,7 @@ function maxDepth(root: TreeNode | null): number {
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};
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```
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> N叉树的最大深度
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### 559.n叉树的最大深度
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```typescript
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// 后续遍历(自下而上)
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@ -702,6 +706,8 @@ function maxDepth(root: TreeNode | null): number {
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## C
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### 104.二叉树的最大深度
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二叉树最大深度递归
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```c
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int maxDepth(struct TreeNode* root){
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@ -758,7 +764,8 @@ int maxDepth(struct TreeNode* root){
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## Swift
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>二叉树最大深度
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### 104.二叉树的最大深度
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```swift
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// 递归 - 后序
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func maxDepth1(_ root: TreeNode?) -> Int {
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@ -797,7 +804,8 @@ func maxDepth(_ root: TreeNode?) -> Int {
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}
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```
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>N叉树最大深度
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### 559.n叉树的最大深度
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```swift
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// 递归
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func maxDepth(_ root: Node?) -> Int {
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@ -833,5 +841,84 @@ func maxDepth1(_ root: Node?) -> Int {
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}
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```
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## Scala
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### 104.二叉树的最大深度
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递归法:
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```scala
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object Solution {
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def maxDepth(root: TreeNode): Int = {
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def process(curNode: TreeNode): Int = {
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if (curNode == null) return 0
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// 递归左节点和右节点,返回最大的,最后+1
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math.max(process(curNode.left), process(curNode.right)) + 1
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}
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// 调用递归方法,return关键字可以省略
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process(root)
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}
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}
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```
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迭代法:
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```scala
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object Solution {
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import scala.collection.mutable
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def maxDepth(root: TreeNode): Int = {
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var depth = 0
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if (root == null) return depth
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val queue = mutable.Queue[TreeNode]()
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queue.enqueue(root)
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while (!queue.isEmpty) {
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val len = queue.size
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for (i <- 0 until len) {
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val curNode = queue.dequeue()
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if (curNode.left != null) queue.enqueue(curNode.left)
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if (curNode.right != null) queue.enqueue(curNode.right)
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}
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depth += 1 // 只要有层次就+=1
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}
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depth
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}
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}
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```
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### 559.n叉树的最大深度
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递归法:
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```scala
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object Solution {
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def maxDepth(root: Node): Int = {
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if (root == null) return 0
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var depth = 0
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for (node <- root.children) {
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depth = math.max(depth, maxDepth(node))
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}
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depth + 1
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}
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}
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```
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迭代法: (层序遍历)
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```scala
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object Solution {
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import scala.collection.mutable
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def maxDepth(root: Node): Int = {
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if (root == null) return 0
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var depth = 0
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val queue = mutable.Queue[Node]()
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queue.enqueue(root)
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while (!queue.isEmpty) {
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val len = queue.size
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depth += 1
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for (i <- 0 until len) {
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val curNode = queue.dequeue()
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for (node <- curNode.children) queue.enqueue(node)
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}
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}
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depth
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}
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}
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```
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-----------------------
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<div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>
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@ -488,6 +488,46 @@ func minDepth(_ root: TreeNode?) -> Int {
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}
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```
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## Scala
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递归法:
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```scala
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object Solution {
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def minDepth(root: TreeNode): Int = {
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if (root == null) return 0
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if (root.left == null && root.right != null) return 1 + minDepth(root.right)
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if (root.left != null && root.right == null) return 1 + minDepth(root.left)
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// 如果两侧都不为空,则取最小值,return关键字可以省略
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1 + math.min(minDepth(root.left), minDepth(root.right))
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}
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}
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```
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迭代法:
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```scala
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object Solution {
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import scala.collection.mutable
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def minDepth(root: TreeNode): Int = {
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if (root == null) return 0
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var depth = 0
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val queue = mutable.Queue[TreeNode]()
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queue.enqueue(root)
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while (!queue.isEmpty) {
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depth += 1
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val len = queue.size
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for (i <- 0 until len) {
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val curNode = queue.dequeue()
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if (curNode.left != null) queue.enqueue(curNode.left)
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if (curNode.right != null) queue.enqueue(curNode.right)
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if (curNode.left == null && curNode.right == null) return depth
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}
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}
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depth
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}
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}
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```
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rust:
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```rust
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impl Solution {
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@ -550,6 +590,7 @@ impl Solution {
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}
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min_depth
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}
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```
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-----------------------
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