Merge branch 'youngyangyang04:master' into master

problems/0015.三数之和.md

@@ -345,6 +345,76 @@ var threeSum = function(nums) {
     return res
 };
 ```
+
+解法二：nSum通用解法。递归
+
+```js
+/**
+ *  nsum通用解法，支持2sum，3sum，4sum...等等
+ *  时间复杂度分析：
+ *  1. n = 2时，时间复杂度O(NlogN)，排序所消耗的时间。、
+ *  2. n > 2时，时间复杂度为O(N^n-1)，即N的n-1次方，至少是2次方，此时可省略排序所消耗的时间。举例：3sum为O(n^2)，4sum为O(n^3)
+ * @param {number[]} nums
+ * @return {number[][]}
+ */
+var threeSum = function (nums) {
+    // nsum通用解法核心方法
+    function nSumTarget(nums, n, start, target) {
+        // 前提：nums要先排序好
+        let res = [];
+        if (n === 2) {
+            res = towSumTarget(nums, start, target);
+        } else {
+            for (let i = start; i < nums.length; i++) {
+                // 递归求(n - 1)sum
+                let subRes = nSumTarget(
+                    nums,
+                    n - 1,
+                    i + 1,
+                    target - nums[i]
+                );
+                for (let j = 0; j < subRes.length; j++) {
+                    res.push([nums[i], ...subRes[j]]);
+                }
+                // 跳过相同元素
+                while (nums[i] === nums[i + 1]) i++;
+            }
+        }
+        return res;
+    }
+
+    function towSumTarget(nums, start, target) {
+        // 前提：nums要先排序好
+        let res = [];
+        let len = nums.length;
+        let left = start;
+        let right = len - 1;
+        while (left < right) {
+            let sum = nums[left] + nums[right];
+            if (sum < target) {
+                while (nums[left] === nums[left + 1]) left++;
+                left++;
+            } else if (sum > target) {
+                while (nums[right] === nums[right - 1]) right--;
+                right--;
+            } else {
+                // 相等
+                res.push([nums[left], nums[right]]);
+                // 跳过相同元素
+                while (nums[left] === nums[left + 1]) left++;
+                while (nums[right] === nums[right - 1]) right--;
+                left++;
+                right--;
+            }
+        }
+        return res;
+    }
+    nums.sort((a, b) => a - b);
+    // n = 3，此时求3sum之和
+    return nSumTarget(nums, 3, 0, 0);
+};
+```
+
 TypeScript:
 
 ```typescript

problems/0020.有效的括号.md

@@ -400,6 +400,37 @@ bool isValid(char * s){
     return !stackTop;
 }
 ```
+
+
+PHP:
+```php
+// https://www.php.net/manual/zh/class.splstack.php
+class Solution
+{
+    function isValid($s){
+        $stack = new SplStack();
+        for ($i = 0; $i < strlen($s); $i++) {
+            if ($s[$i] == "(") {
+                $stack->push(')');
+            } else if ($s[$i] == "{") {
+                $stack->push('}');
+            } else if ($s[$i] == "[") {
+                $stack->push(']');
+            // 2、遍历匹配过程中，发现栈内没有要匹配的字符 return false
+            // 3、遍历匹配过程中，栈已为空，没有匹配的字符了，说明右括号没有找到对应的左括号 return false
+            } else if ($stack->isEmpty() || $stack->top() != $s[$i]) {
+                return false;
+            } else {//$stack->top() == $s[$i]
+                $stack->pop();
+            }
+        }
+        // 1、遍历完，但是栈不为空,说明有相应的括号没有被匹配,return false
+        return $stack->isEmpty();
+    }
+}
+```
+
+
 Scala:
 ```scala
 object Solution {
@@ -422,5 +453,6 @@ object Solution {
   }
 }
 ```
+
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0034.在排序数组中查找元素的第一个和最后一个位置.md

@@ -480,6 +480,62 @@ var searchRange = function(nums, target) {
     return [-1, -1];
 };
 ```
+
+
+### TypeScript
+
+```typescript
+function searchRange(nums: number[], target: number): number[] {
+    const leftBoard: number = getLeftBorder(nums, target);
+    const rightBoard: number = getRightBorder(nums, target);
+    // target 在nums区间左侧或右侧
+    if (leftBoard === (nums.length - 1) || rightBoard === 0) return [-1, -1];
+    // target 不存在与nums范围内
+    if (rightBoard - leftBoard <= 1) return [-1, -1];
+    // target 存在于nums范围内
+    return [leftBoard + 1, rightBoard - 1];
+};
+// 查找第一个大于target的元素下标
+function getRightBorder(nums: number[], target: number): number {
+    let left: number = 0,
+        right: number = nums.length - 1;
+    // 0表示target在nums区间的左边
+    let rightBoard: number = 0;
+    while (left <= right) {
+        let mid = Math.floor((left + right) / 2);
+        if (nums[mid] <= target) {
+            // 右边界一定在mid右边（不含mid）
+            left = mid + 1;
+            rightBoard = left;
+        } else {
+            // 右边界在mid左边（含mid）
+            right = mid - 1;
+        }
+    }
+    return rightBoard;
+}
+// 查找第一个小于target的元素下标
+function getLeftBorder(nums: number[], target: number): number {
+    let left: number = 0,
+        right: number = nums.length - 1;
+    // length-1表示target在nums区间的右边
+    let leftBoard: number = nums.length - 1;
+    while (left <= right) {
+        let mid = Math.floor((left + right) / 2);
+        if (nums[mid] >= target) {
+            // 左边界一定在mid左边（不含mid）
+            right = mid - 1;
+            leftBoard = right;
+        } else {
+            // 左边界在mid右边（含mid）
+            left = mid + 1;
+        }
+    }
+    return leftBoard;
+}
+```
+
+
 ### Scala
 ```scala
 object Solution {
@@ -527,5 +583,6 @@ object Solution {
 }
 ```
 
+
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0098.验证二叉搜索树.md

@@ -589,7 +589,50 @@ function isValidBST(root: TreeNode | null): boolean {
 };
 ```
 
+## Scala
 
+辅助数组解决:
+```scala
+object Solution {
+  import scala.collection.mutable
+  def isValidBST(root: TreeNode): Boolean = {
+    var arr = new mutable.ArrayBuffer[Int]()
+    // 递归中序遍历二叉树，将节点添加到arr
+    def traversal(node: TreeNode): Unit = {
+      if (node == null) return
+      traversal(node.left)
+      arr.append(node.value)
+      traversal(node.right)
+    }
+    traversal(root)
+    // 这个数组如果是升序就代表是二叉搜索树
+    for (i <- 1 until arr.size) {
+      if (arr(i) <= arr(i - 1)) return false
+    }
+    true  
+  }
+}
+```
+
+递归中解决:
+```scala
+object Solution {
+  def isValidBST(root: TreeNode): Boolean = {
+    var flag = true
+    var preValue:Long = Long.MinValue // 这里要使用Long类型
+
+    def traversal(node: TreeNode): Unit = {
+      if (node == null || flag == false) return
+      traversal(node.left)
+      if (node.value > preValue) preValue = node.value
+      else flag = false
+      traversal(node.right)
+    }
+    traversal(root)
+    flag  
+  }
+}
+```
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0189.旋转数组.md

@@ -7,6 +7,8 @@
 
 # 189. 旋转数组
 
+[力扣题目链接](https://leetcode.cn/problems/rotate-array/)
+
 给定一个数组，将数组中的元素向右移动 k 个位置，其中 k 是非负数。
 
 进阶：
@@ -160,6 +162,27 @@ var rotate = function (nums, k) {
 };
 ```
 
+## TypeScript
+
+```typescript
+function rotate(nums: number[], k: number): void {
+    const length: number = nums.length;
+    k %= length;
+    reverseByRange(nums, 0, length - 1);
+    reverseByRange(nums, 0, k - 1);
+    reverseByRange(nums, k, length - 1);
+};
+function reverseByRange(nums: number[], left: number, right: number): void {
+    while (left < right) {
+        const temp = nums[left];
+        nums[left] = nums[right];
+        nums[right] = temp;
+        left++;
+        right--;
+    }
+}
+```
+
 
 
 -----------------------

problems/0225.用队列实现栈.md

@@ -816,7 +816,6 @@ class MyStack {
 }
 ```
 Scala:
-
 使用两个队列模拟栈:
 ```scala
 import scala.collection.mutable
@@ -897,6 +896,86 @@ class MyStack() {
   def empty(): Boolean = {
     queue.isEmpty
   }
+  }
+```
+
+
+PHP
+> 双对列
+```php
+// SplQueue 类通过使用一个双向链表来提供队列的主要功能。(PHP 5 >= 5.3.0, PHP 7, PHP 8)
+// https://www.php.net/manual/zh/class.splqueue.php
+class MyStack {
+    public $queueMain; // 保存数据
+    public $queueTmp;  // 辅助作用
+
+    function __construct() {
+        $this->queueMain=new SplQueue();
+        $this->queueTmp=new SplQueue();
+    }
+    
+    // queueMain: 1,2,3 <= add
+    function push($x) {
+        $this->queueMain->enqueue($x);
+    }
+                                    
+    function pop() {
+       $qmSize = $this->queueMain->Count();
+       $qmSize --;
+       // queueMain: 3,2,1 => pop =>2,1 => add => 2,1 :queueTmp
+       while($qmSize --){
+           $this->queueTmp->enqueue($this->queueMain->dequeue());
+       }
+       // queueMain: 3
+       $val = $this->queueMain->dequeue();
+       // queueMain <= queueTmp 
+       $this->queueMain = $this->queueTmp;
+       // 清空queueTmp,下次使用 
+       $this->queueTmp = new SplQueue();
+       return $val;
+    }
+
+    function top() {
+        // 底层是双链表实现：从双链表的末尾查看节点
+        return $this->queueMain->top(); 
+    }
+
+    function empty() {
+        return $this->queueMain->isEmpty();
+    }
+}
+```
+> 单对列
+```php
+class MyStack {
+    public $queue;
+
+    function __construct() {
+        $this->queue=new SplQueue();
+    }
+    
+    function push($x) {
+        $this->queue->enqueue($x);
+    }
+                                 
+    function pop() {
+       $qmSize = $this->queue->Count();
+       $qmSize --;
+       //queue: 3,2,1 => pop =>2,1 => add => 2,1,3 :queue
+       while($qmSize --){
+           $this->queue->enqueue($this->queue->dequeue());
+       }
+       $val = $this->queue->dequeue();
+       return $val;
+    }
+
+    function top() {
+        return $this->queue->top(); 
+    }
+
+    function empty() {
+        return $this->queue->isEmpty();
+    }
 }
 ```
 -----------------------

problems/0232.用栈实现队列.md

@@ -495,6 +495,53 @@ void myQueueFree(MyQueue* obj) {
     obj->stackOutTop = 0;
 }
 ```
+
+
+PHP:
+```php
+// SplStack 类通过使用一个双向链表来提供栈的主要功能。[PHP 5 >= 5.3.0, PHP 7, PHP 8]
+// https://www.php.net/manual/zh/class.splstack.php
+class MyQueue {
+    // 双栈模拟队列：In栈存储数据；Out栈辅助处理
+    private $stackIn;
+    private $stackOut;
+    
+    function __construct() {
+        $this->stackIn = new SplStack();
+        $this->stackOut = new SplStack();
+    }
+
+    // In: 1 2 3  <= push  
+    function push($x) {
+        $this->stackIn->push($x);
+    }
+
+    function pop() {
+        $this->peek();
+        return $this->stackOut->pop();
+    }
+
+    function peek() {
+        if($this->stackOut->isEmpty()){
+            $this->shift();
+        }
+        return $this->stackOut->top();
+    }
+
+    function empty() {
+        return $this->stackOut->isEmpty() && $this->stackIn->isEmpty();
+    }
+
+    // 如果Out栈为空，把In栈数据压入Out栈
+    // In: 1 2 3 => pop    push => 1 2 3 :Out  
+    private function shift(){
+        while(!$this->stackIn->isEmpty()){
+            $this->stackOut->push($this->stackIn->pop());
+        }
+    }
+    }
+```
+
 Scala:
 ```scala
 class MyQueue() {
@@ -533,6 +580,7 @@ class MyQueue() {
   def empty(): Boolean = {
     stackIn.isEmpty && stackOut.isEmpty
   }
+
 }
 ```
 -----------------------

problems/0235.二叉搜索树的最近公共祖先.md

@@ -381,7 +381,36 @@ function lowestCommonAncestor(root: TreeNode | null, p: TreeNode | null, q: Tree
 };
 ```
 
+## Scala
 
+递归:
+
+```scala
+object Solution {
+  def lowestCommonAncestor(root: TreeNode, p: TreeNode, q: TreeNode): TreeNode = {
+    // scala中每个关键字都有其返回值，于是可以不写return
+    if (root.value > p.value && root.value > q.value) lowestCommonAncestor(root.left, p, q)
+    else if (root.value < p.value && root.value < q.value) lowestCommonAncestor(root.right, p, q)
+    else root
+  }
+}
+```
+
+迭代:
+
+```scala
+object Solution {
+  def lowestCommonAncestor(root: TreeNode, p: TreeNode, q: TreeNode): TreeNode = {
+    var curNode = root  // 因为root是不可变量，所以要赋值给curNode一个可变量
+    while(curNode != null){
+      if(curNode.value > p.value && curNode.value > q.value) curNode = curNode.left
+      else if(curNode.value < p.value && curNode.value < q.value) curNode = curNode.right
+      else return curNode
+    }
+    null
+  }
+}
+```
 
 
 -----------------------

problems/0236.二叉树的最近公共祖先.md

@@ -343,7 +343,25 @@ function lowestCommonAncestor(root: TreeNode | null, p: TreeNode | null, q: Tree
 };
 ```
 
+## Scala
 
+```scala
+object Solution {
+  def lowestCommonAncestor(root: TreeNode, p: TreeNode, q: TreeNode): TreeNode = {
+    // 递归结束条件
+    if (root == null || root == p || root == q) {
+      return root
+    }
+
+    var left = lowestCommonAncestor(root.left, p, q)
+    var right = lowestCommonAncestor(root.right, p, q)
+
+    if (left != null && right != null) return root
+    if (left == null) return right
+    left
+  }
+}
+```
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0283.移动零.md

@@ -133,6 +133,27 @@ var moveZeroes = function(nums) {
 };
 ```
 
+TypeScript：
+
+```typescript
+function moveZeroes(nums: number[]): void {
+    const length: number = nums.length;
+    let slowIndex: number = 0,
+        fastIndex: number = 0;
+    while (fastIndex < length) {
+        if (nums[fastIndex] !== 0) {
+            nums[slowIndex++] = nums[fastIndex];
+        };
+        fastIndex++;
+    }
+    while (slowIndex < length) {
+        nums[slowIndex++] = 0;
+    }
+};
+```
+
+
+
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0450.删除二叉搜索树中的节点.md

@@ -582,7 +582,35 @@ function deleteNode(root: TreeNode | null, key: number): TreeNode | null {
 };
 ```
 
+## Scala
 
+```scala
+object Solution {
+  def deleteNode(root: TreeNode, key: Int): TreeNode = {
+    if (root == null) return root // 第一种情况，没找到删除的节点，遍历到空节点直接返回
+    if (root.value == key) {
+      // 第二种情况: 左右孩子都为空，直接删除节点，返回null
+      if (root.left == null && root.right == null) return null
+      // 第三种情况: 左孩子为空，右孩子不为空，右孩子补位
+      else if (root.left == null && root.right != null) return root.right
+      // 第四种情况: 左孩子不为空，右孩子为空，左孩子补位
+      else if (root.left != null && root.right == null) return root.left
+      // 第五种情况: 左右孩子都不为空，将删除节点的左子树头节点(左孩子)放到
+      //           右子树的最左边节点的左孩子上，返回删除节点的右孩子
+      else {
+        var tmp = root.right
+        while (tmp.left != null) tmp = tmp.left
+        tmp.left = root.left
+        return root.right
+      }
+    }
+    if (root.value > key) root.left = deleteNode(root.left, key)
+    if (root.value < key) root.right = deleteNode(root.right, key)
+
+    root // 返回根节点，return关键字可以省略
+  }
+}
+```
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0501.二叉搜索树中的众数.md

@@ -9,7 +9,9 @@
 
 # 501.二叉搜索树中的众数
 
-[力扣题目链接](https://leetcode.cn/problems/find-mode-in-binary-search-tree/solution/)
+
+[力扣题目链接](https://leetcode.cn/problems/find-mode-in-binary-search-tree/)
+
 
 给定一个有相同值的二叉搜索树（BST），找出 BST 中的所有众数（出现频率最高的元素）。
 
@@ -798,7 +800,76 @@ function findMode(root: TreeNode | null): number[] {
 };
 ```
 
+## Scala
 
+暴力:
+```scala
+object Solution {
+  // 导包
+  import scala.collection.mutable // 集合包
+  import scala.util.control.Breaks.{break, breakable} // 流程控制包
+  def findMode(root: TreeNode): Array[Int] = {
+    var map = mutable.HashMap[Int, Int]() // 存储节点的值，和该值出现的次数
+    def searchBST(curNode: TreeNode): Unit = {
+      if (curNode == null) return
+      var value = map.getOrElse(curNode.value, 0)
+      map.put(curNode.value, value + 1) 
+      searchBST(curNode.left)
+      searchBST(curNode.right)
+    }
+    searchBST(root) // 前序遍历把每个节点的值加入到里面
+    // 将map转换为list，随后根据元组的第二个值进行排序
+    val list = map.toList.sortWith((map1, map2) => {
+      if (map1._2 > map2._2) true else false
+    })
+    var res = mutable.ArrayBuffer[Int]()
+    res.append(list(0)._1) // 将第一个加入结果集
+    breakable {
+      for (i <- 1 until list.size) {
+        // 如果值相同就加入结果集合，反之break
+        if (list(i)._2 == list(0)._2) res.append(list(i)._1)
+        else break
+      }
+    }
+    res.toArray // 最终返回res的Array格式，return关键字可以省略
+  }
+}
+```
+
+递归(利用二叉搜索树的性质):
+```scala
+object Solution {
+  import scala.collection.mutable
+  def findMode(root: TreeNode): Array[Int] = {
+    var maxCount = 0 // 最大频率
+    var count = 0 // 统计频率
+    var pre: TreeNode = null
+    var result = mutable.ArrayBuffer[Int]()
+
+    def searchBST(cur: TreeNode): Unit = {
+      if (cur == null) return
+      searchBST(cur.left)
+      if (pre == null) count = 1 // 等于空置为1
+      else if (pre.value == cur.value) count += 1 // 与上一个节点的值相同加1
+      else count = 1 // 与上一个节点的值不同
+      pre = cur
+
+      // 如果和最大值相同，则放入结果集
+      if (count == maxCount) result.append(cur.value)
+
+      // 如果当前计数大于最大值频率，更新最大值，清空结果集
+      if (count > maxCount) {
+        maxCount = count
+        result.clear()
+        result.append(cur.value)
+      }
+      searchBST(cur.right)
+    }
+    searchBST(root)
+    result.toArray  // return关键字可以省略
+  }
+}
+```
 
 
 -----------------------

problems/0509.斐波那契数.md

@@ -234,6 +234,7 @@ func fib(n int) int {
 }
 ```
 ### Javascript 
+解法一
 ```Javascript
 var fib = function(n) {
     let dp = [0, 1]
@@ -244,6 +245,23 @@ var fib = function(n) {
     return dp[n]
 };
 ```
+解法二：时间复杂度O(N)，空间复杂度O(1)
+```Javascript
+var fib = function(n) {
+    // 动规状态转移中，当前结果只依赖前两个元素的结果，所以只要两个变量代替dp数组记录状态过程。将空间复杂度降到O(1)
+    let pre1 = 1
+    let pre2 = 0
+    let temp
+    if (n === 0) return 0
+    if (n === 1) return 1
+    for(let i = 2; i <= n; i++) {
+        temp = pre1
+        pre1 = pre1 + pre2
+        pre2 = temp
+    }
+    return pre1
+};
+```
 
 TypeScript
 

problems/0530.二叉搜索树的最小绝对差.md

@@ -431,7 +431,84 @@ function getMinimumDifference(root: TreeNode | null): number {
 };
 ```
 
+## Scala
 
+构建二叉树的有序数组:
+
+```scala
+object Solution {
+  import scala.collection.mutable
+  def getMinimumDifference(root: TreeNode): Int = {
+    val arr = mutable.ArrayBuffer[Int]()
+    def traversal(node: TreeNode): Unit = {
+      if (node == null) return
+      traversal(node.left)
+      arr.append(node.value)
+      traversal(node.right)
+    }
+    traversal(root)
+    // 在有序数组上求最小差值
+    var result = Int.MaxValue
+    for (i <- 1 until arr.size) {
+      result = math.min(result, arr(i) - arr(i - 1))
+    }
+    result // 返回最小差值
+  }
+}
+```
+
+递归记录前一个节点:
+
+```scala
+object Solution {
+  def getMinimumDifference(root: TreeNode): Int = {
+    var result = Int.MaxValue // 初始化为最大值
+    var pre: TreeNode = null // 记录前一个节点
+
+    def traversal(cur: TreeNode): Unit = {
+      if (cur == null) return
+      traversal(cur.left)
+      if (pre != null) {
+        // 对比result与节点之间的差值
+        result = math.min(result, cur.value - pre.value)
+      }
+      pre = cur
+      traversal(cur.right)
+    }
+
+    traversal(root)
+    result // return关键字可以省略
+  }
+}
+```
+
+迭代解决:
+
+```scala
+object Solution {
+  import scala.collection.mutable
+  def getMinimumDifference(root: TreeNode): Int = {
+    var result = Int.MaxValue // 初始化为最大值
+    var pre: TreeNode = null // 记录前一个节点
+    var cur = root
+    var stack = mutable.Stack[TreeNode]()
+    while (cur != null || !stack.isEmpty) {
+      if (cur != null) {
+        stack.push(cur)
+        cur = cur.left
+      } else {
+        cur = stack.pop()
+        if (pre != null) {
+          result = math.min(result, cur.value - pre.value)
+        }
+        pre = cur
+        cur = cur.right
+      }
+    }
+    result // return关键字可以省略
+  }
+}
+```
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0541.反转字符串II.md

@@ -53,10 +53,10 @@ public:
             // 2. 剩余字符小于 2k 但大于或等于 k 个，则反转前 k 个字符
             if (i + k <= s.size()) {
                 reverse(s.begin() + i, s.begin() + i + k );
-                continue;
+            } else {
+                // 3. 剩余字符少于 k 个，则将剩余字符全部反转。
+                reverse(s.begin() + i, s.end());
             }
-            // 3. 剩余字符少于 k 个，则将剩余字符全部反转。
-            reverse(s.begin() + i, s.begin() + s.size());
         }
         return s;
     }

problems/0617.合并二叉树.md

@@ -631,7 +631,60 @@ function mergeTrees(root1: TreeNode | null, root2: TreeNode | null): TreeNode |
 };
 ```
 
+## Scala
 
+递归:
+```scala
+object Solution {
+  def mergeTrees(root1: TreeNode, root2: TreeNode): TreeNode = {
+    if (root1 == null) return root2 // 如果root1为空，返回root2
+    if (root2 == null) return root1 // 如果root2为空，返回root1
+    // 新建一个节点，值为两个节点的和
+    var node = new TreeNode(root1.value + root2.value)
+    // 往下递归
+    node.left = mergeTrees(root1.left, root2.left)
+    node.right = mergeTrees(root1.right, root2.right)
+    node // 返回node，return关键字可以省略
+  }
+}
+```
+
+迭代:
+```scala
+object Solution {
+  import scala.collection.mutable
+  def mergeTrees(root1: TreeNode, root2: TreeNode): TreeNode = {
+    if (root1 == null) return root2
+    if (root2 == null) return root1
+    var stack = mutable.Stack[TreeNode]()
+    // 先放node2再放node1
+    stack.push(root2)
+    stack.push(root1)
+    while (!stack.isEmpty) {
+      var node1 = stack.pop()
+      var node2 = stack.pop()
+      node1.value += node2.value
+      if (node1.right != null && node2.right != null) {
+        stack.push(node2.right)
+        stack.push(node1.right)
+      } else {
+        if(node1.right == null){
+          node1.right = node2.right
+        }
+      }
+      if (node1.left != null && node2.left != null) {
+        stack.push(node2.left)
+        stack.push(node1.left)
+      } else {
+        if(node1.left == null){
+          node1.left = node2.left
+        }
+      }
+    }
+    root1
+  }
+}
+```
 
 
 -----------------------

problems/0654.最大二叉树.md

@@ -476,7 +476,33 @@ func traversal(_ nums: inout [Int], _ left: Int, _ right: Int) -> TreeNode? {
 }
 ```
 
+## Scala
 
+```scala
+object Solution {
+  def constructMaximumBinaryTree(nums: Array[Int]): TreeNode = {
+    if (nums.size == 0) return null
+    // 找到数组最大值
+    var maxIndex = 0
+    var maxValue = Int.MinValue
+    for (i <- nums.indices) {
+      if (nums(i) > maxValue) {
+        maxIndex = i
+        maxValue = nums(i)
+      }
+    }
+
+    // 构建一棵树
+    var root = new TreeNode(maxValue, null, null)
+
+    // 递归寻找左右子树
+    root.left = constructMaximumBinaryTree(nums.slice(0, maxIndex))
+    root.right = constructMaximumBinaryTree(nums.slice(maxIndex + 1, nums.length))
+
+    root // 返回root
+  }
+}
+```
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0700.二叉搜索树中的搜索.md

@@ -363,7 +363,34 @@ function searchBST(root: TreeNode | null, val: number): TreeNode | null {
 };
 ```
 
+## Scala
 
+递归:
+```scala
+object Solution {
+  def searchBST(root: TreeNode, value: Int): TreeNode = {
+    if (root == null || value == root.value) return root
+    // 相当于三元表达式，在Scala中if...else有返回值
+    if (value < root.value) searchBST(root.left, value) else searchBST(root.right, value)
+  }
+}
+```
+
+迭代:
+```scala
+object Solution {
+  def searchBST(root: TreeNode, value: Int): TreeNode = {
+    // 因为root是不可变量，所以需要赋值给一个可变量
+    var node = root
+    while (node != null) {
+      if (value < node.value) node = node.left
+      else if (value > node.value) node = node.right
+      else return node
+    }
+    null // 没有返回就返回空
+  }
+}
+```
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0701.二叉搜索树中的插入操作.md

@@ -585,6 +585,43 @@ function insertIntoBST(root: TreeNode | null, val: number): TreeNode | null {
 ```
 
 
+## Scala
+
+递归:
+
+```scala
+object Solution {
+  def insertIntoBST(root: TreeNode, `val`: Int): TreeNode = {
+    if (root == null) return new TreeNode(`val`)
+    if (`val` < root.value) root.left = insertIntoBST(root.left, `val`) 
+    else root.right = insertIntoBST(root.right, `val`)
+    root  // 返回根节点
+  }
+}
+```
+
+迭代:
+
+```scala
+object Solution {
+  def insertIntoBST(root: TreeNode, `val`: Int): TreeNode = {
+    if (root == null) {
+      return new TreeNode(`val`)
+    }
+    var parent = root   // 记录当前节点的父节点
+    var curNode = root
+    while (curNode != null) {
+      parent = curNode
+      if(`val` < curNode.value) curNode = curNode.left
+      else curNode = curNode.right
+    }
+    if(`val` < parent.value) parent.left = new TreeNode(`val`)
+    else parent.right = new TreeNode(`val`)
+    root  // 最终返回根节点
+  }
+}
+```
+
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0724.寻找数组的中心索引.md

@@ -140,6 +140,24 @@ var pivotIndex = function(nums) {
 };
 ```
 
+### TypeScript
+
+```typescript
+function pivotIndex(nums: number[]): number {
+    const length: number = nums.length;
+    const sum: number = nums.reduce((a, b) => a + b);
+    let leftSum: number = 0;
+    for (let i = 0; i < length; i++) {
+        const rightSum: number = sum - leftSum - nums[i];
+        if (leftSum === rightSum) return i;
+        leftSum += nums[i];
+    }
+    return -1;
+};
+```
+
+
+
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/1047.删除字符串中的所有相邻重复项.md

@@ -374,6 +374,34 @@ func removeDuplicates(_ s: String) -> String {
     return String(stack)
 }
 ```
+
+
+PHP:
+```php
+class Solution {
+    function removeDuplicates($s) {
+        $stack = new SplStack();
+        for($i=0;$i<strlen($s);$i++){
+            if($stack->isEmpty() || $s[$i] != $stack->top()){
+                $stack->push($s[$i]);
+            }else{
+               $stack->pop(); 
+            }
+        }
+
+        $result = "";
+        while(!$stack->isEmpty()){
+            $result.= $stack->top();
+            $stack->pop();
+        }
+        
+        // 此时字符串需要反转一下
+        return strrev($result);
+    }
+}
+```
+
+
 Scala:
 ```scala
 object Solution {
@@ -396,5 +424,6 @@ object Solution {
   }
 }
 ```
+
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>