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更新 053.最大子序和 排版格式修复
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@ -17,7 +17,7 @@
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## 算法公开课
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**《代码随想录》算法视频公开课:[看起来复杂,其实是简单动态规划 | LeetCode:53.最大子序和](https://www.bilibili.com/video/BV19V4y1F7b5),相信结合视频再看本篇题解,更有助于大家对本题的理解**。
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**[《代码随想录》算法视频公开课](https://programmercarl.com/other/gongkaike.html):[看起来复杂,其实是简单动态规划 | LeetCode:53.最大子序和](https://www.bilibili.com/video/BV19V4y1F7b5),相信结合视频再看本篇题解,更有助于大家对本题的理解**。
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## 思路
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@ -97,8 +97,8 @@ public:
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## 其他语言版本
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### Java:
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Java:
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```java
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/**
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* 1.dp[i]代表当前下标对应的最大值
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@ -140,7 +140,8 @@ class Solution {
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}
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```
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Python:
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### Python:
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```python
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class Solution:
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def maxSubArray(self, nums: List[int]) -> int:
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@ -153,7 +154,8 @@ class Solution:
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return result
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```
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Go:
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### Go:
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```Go
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// solution
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// 1, dp
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@ -184,7 +186,7 @@ func max(a,b int) int{
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}
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```
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JavaScript:
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### JavaScript:
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```javascript
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const maxSubArray = nums => {
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@ -203,8 +205,7 @@ const maxSubArray = nums => {
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};
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```
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Scala:
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### Scala:
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```scala
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object Solution {
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@ -221,7 +222,7 @@ object Solution {
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}
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```
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TypeScript:
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### TypeScript:
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```typescript
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function maxSubArray(nums: number[]): number {
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@ -244,3 +245,4 @@ function maxSubArray(nums: number[]): number {
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<a href="https://programmercarl.com/other/kstar.html" target="_blank">
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<img src="../pics/网站星球宣传海报.jpg" width="1000"/>
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</a>
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