Merge branch 'youngyangyang04:master' into master

README.md

@@ -531,7 +531,8 @@
 
 如果是已工作，备注：姓名-城市-岗位-组队刷题。如果学生，备注：姓名-学校-年级-组队刷题。**备注没有自我介绍不通过哦**
 
-<div align="center"><img src="https://code-thinking-1253855093.file.myqcloud.com/pics/20220426233122.png" data-img="1" width="200" height="200"></img></div>
+
+<div align="center"><img src="https://code-thinking-1253855093.file.myqcloud.com/pics/第二企业刷题活码.png" data-img="1" width="200" height="200"></img></div>
 
 
 
@@ -543,6 +544,7 @@
 
 **来看看就知道了，你会发现相见恨晚！**
 
+
 <a name="公众号"></a>
 <div align="center"><img src="https://code-thinking-1253855093.file.myqcloud.com/pics/20211026122841.png" data-img="1" width="650" height="500"></img></div>
 

problems/0027.移除元素.md

@@ -281,9 +281,7 @@ func removeElement(_ nums: inout [Int], _ val: Int) -> Int {
 
     for fastIndex in 0..<nums.count {
         if val != nums[fastIndex] {
-            if slowIndex != fastIndex {
                 nums[slowIndex] = nums[fastIndex]
-            }
                 slowIndex += 1
         }
     }

problems/0121.买卖股票的最佳时机.md

@@ -311,7 +311,36 @@ class Solution:
 ```
 
 Go:
+> 贪心法：
+```Go
+func maxProfit(prices []int) int {
+    low := math.MaxInt32
+    rlt := 0
+    for i := range prices{
+        low = min(low, prices[i])
+        rlt = max(rlt, prices[i]-low)
+    }
 
+    return rlt
+}
+func min(a, b int) int {
+    if a < b{
+        return a
+    }
+
+    return b
+}
+
+func max(a, b int) int {
+    if a > b{
+        return a
+    }
+
+    return b
+}
+```
+
+> 动态规划：版本一
 ```Go
 func maxProfit(prices []int) int {
 	length:=len(prices)
@@ -338,6 +367,29 @@ func max(a,b int)int {
 }
 ```
 
+> 动态规划：版本二
+```Go
+func maxProfit(prices []int) int {
+    dp := [2][2]int{}
+    dp[0][0] = -prices[0]   
+    dp[0][1] = 0
+    for i := 1; i < len(prices); i++{
+        dp[i%2][0] = max(dp[(i-1)%2][0], -prices[i])
+        dp[i%2][1] = max(dp[(i-1)%2][1], dp[(i-1)%2][0]+prices[i])
+    }
+
+    return dp[(len(prices)-1)%2][1]
+}
+
+func max(a, b int) int {
+    if a > b{
+        return a 
+    }
+
+    return b
+}
+```
+
 JavaScript:
 
 > 动态规划

problems/0122.买卖股票的最佳时机II.md

@@ -264,7 +264,7 @@ const maxProfit = (prices) => {
         dp[i][1] = Math.max(dp[i-1][1], dp[i-1][0] + prices[i]);
     }
 
-    return dp[prices.length -1][0];
+    return dp[prices.length -1][1];
 };
 ```
 

problems/0122.买卖股票的最佳时机II（动态规划）.md

@@ -276,7 +276,7 @@ const maxProfit = (prices) => {
         dp[i][1] = Math.max(dp[i-1][1], dp[i-1][0] + prices[i]);
     }
 
-    return dp[prices.length -1][0];
+    return dp[prices.length -1][1];
 };
 
 // 方法二：动态规划（滚动数组）

problems/0135.分发糖果.md

@@ -238,6 +238,32 @@ var candy = function(ratings) {
 };
 ```
 
+### TypeScript
+
+```typescript
+function candy(ratings: number[]): number {
+    const candies: number[] = [];
+    candies[0] = 1;
+    // 保证右边高分孩子一定比左边低分孩子发更多的糖果
+    for (let i = 1, length = ratings.length; i < length; i++) {
+        if (ratings[i] > ratings[i - 1]) {
+            candies[i] = candies[i - 1] + 1;
+        } else {
+            candies[i] = 1;
+        }
+    }
+    // 保证左边高分孩子一定比右边低分孩子发更多的糖果
+    for (let i = ratings.length - 2; i >= 0; i--) {
+        if (ratings[i] > ratings[i + 1]) {
+            candies[i] = Math.max(candies[i], candies[i + 1] + 1);
+        }
+    }
+    return candies.reduce((pre, cur) => pre + cur);
+};
+```
+
+
+
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0406.根据身高重建队列.md

@@ -290,6 +290,24 @@ var reconstructQueue = function(people) {
 };
 ```
 
+### TypeScript
+
+```typescript
+function reconstructQueue(people: number[][]): number[][] {
+    people.sort((a, b) => {
+        if (a[0] === b[0]) return a[1] - b[1];
+        return b[0] - a[0];
+    });
+    const resArr: number[][] = [];
+    for (let i = 0, length = people.length; i < length; i++) {
+        resArr.splice(people[i][1], 0, people[i]);
+    }
+    return resArr;
+};
+```
+
+
+
 
 -----------------------
 <div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

problems/0416.分割等和子集.md

@@ -50,7 +50,7 @@
 
 ## 01背包问题
 
-背包问题，大家都知道，有N件物品和一个最多能被重量为W 的背包。第i件物品的重量是weight[i]，得到的价值是value[i] 。每件物品只能用一次，求解将哪些物品装入背包里物品价值总和最大。
+背包问题，大家都知道，有N件物品和一个最多能背重量为W 的背包。第i件物品的重量是weight[i]，得到的价值是value[i] 。每件物品只能用一次，求解将哪些物品装入背包里物品价值总和最大。
 
 **背包问题有多种背包方式，常见的有：01背包、完全背包、多重背包、分组背包和混合背包等等。**
 

problems/0503.下一个更大元素II.md

@@ -166,20 +166,19 @@ JavaScript:
  * @return {number[]}
  */
 var nextGreaterElements = function (nums) {
-  // let map = new Map();
+  const len = nums.length;
   let stack = [];
-  let res = new Array(nums.length).fill(-1);
-  for (let i = 0; i < nums.length * 2; i++) {
+  let res = Array(len).fill(-1);
+  for (let i = 0; i < len * 2; i++) {
     while (
       stack.length &&
-      nums[i % nums.length] > nums[stack[stack.length - 1]]
+      nums[i % len] > nums[stack[stack.length - 1]]
     ) {
-      let index = stack.pop();
-      res[index] = nums[i % nums.length];
+      const index = stack.pop();
+      res[index] = nums[i % len];
     }
-    stack.push(i % nums.length);
+    stack.push(i % len);
   }
-
   return res;
 };
 ```

problems/0739.每日温度.md

@@ -301,25 +301,22 @@ func dailyTemperatures(num []int) []int {
 
 JavaScript：
 ```javascript
-/**
- * @param {number[]} temperatures
- * @return {number[]}
- */
+// 版本一
 var dailyTemperatures = function(temperatures) {
-    let n = temperatures.length;
-    let res = new Array(n).fill(0);
-    let stack = [];  // 递减栈：用于存储元素右面第一个比他大的元素下标
+    const n = temperatures.length;
+    const res = Array(n).fill(0);
+    const stack = [];  // 递增栈：用于存储元素右面第一个比他大的元素下标
     stack.push(0);
     for (let i = 1; i < n; i++) {
         // 栈顶元素
-        let top = stack[stack.length - 1];
+        const top = stack[stack.length - 1];
         if (temperatures[i] < temperatures[top]) {
             stack.push(i);
         } else if (temperatures[i] === temperatures[top]) {
             stack.push(i);
         } else {
             while (stack.length && temperatures[i] > temperatures[stack[stack.length - 1]]) {
-                let top = stack.pop();
+                const top = stack.pop();
                 res[top] = i - top;
             }
             stack.push(i);
@@ -327,6 +324,23 @@ var dailyTemperatures = function(temperatures) {
     }
     return res;
 };
+
+
+// 版本二
+var dailyTemperatures = function(temperatures) {
+    const n = temperatures.length;
+    const res = Array(n).fill(0);
+    const stack = [];  // 递增栈：用于存储元素右面第一个比他大的元素下标
+    stack.push(0);
+    for (let i = 1; i < n; i++) {
+        while (stack.length && temperatures[i] > temperatures[stack[stack.length - 1]]) {
+            const top = stack.pop();
+            res[top] = i - top;
+        }
+        stack.push(i);
+    }
+    return res;
+};
 ```
 
 

problems/0860.柠檬水找零.md

@@ -252,5 +252,39 @@ var lemonadeChange = function(bills) {
 
 ```
 
+### TypeScript
+
+```typescript
+function lemonadeChange(bills: number[]): boolean {
+    let five: number = 0,
+        ten: number = 0;
+    for (let bill of bills) {
+        switch (bill) {
+            case 5:
+                five++;
+                break;
+            case 10:
+                if (five < 1) return false;
+                five--;
+                ten++
+                break;
+            case 20:
+                if (ten > 0 && five > 0) {
+                    five--;
+                    ten--;
+                } else if (five > 2) {
+                    five -= 3;
+                } else {
+                    return false;
+                }
+                break;
+        }
+    }
+    return true;
+};
+```
+
+
+
 -----------------------
 <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

@@ -250,11 +250,9 @@ func removeDuplicates(s string) string {
 
 javaScript: 
 
+法一：使用栈
+
 ```js
-/**
- * @param {string} s
- * @return {string}
- */
 var removeDuplicates = function(s) {
     const stack = [];
     for(const x of s) {
@@ -267,6 +265,25 @@ var removeDuplicates = function(s) {
 };
 ```
 
+法二：双指针（模拟栈）
+
+```js
+// 原地解法（双指针模拟栈）
+var removeDuplicates = function(s) {
+    s = [...s];
+    let top = -1; // 指向栈顶元素的下标
+    for(let i = 0; i < s.length; i++) {
+        if(top === -1 || s[top] !== s[i]) { // top === -1 即空栈
+            s[++top] = s[i]; // 入栈
+        } else {
+            top--; // 推出栈
+        }
+    }
+    s.length = top + 1; // 栈顶元素下标 + 1 为栈的长度
+    return s.join('');
+};
+```
+
 TypeScript：
 
 ```typescript