From 31eb619ea18d05e004da853d70b165ba47291c92 Mon Sep 17 00:00:00 2001
From: Anmizi <1845513904@qq.com>
Date: Fri, 29 Apr 2022 19:15:41 +0800
Subject: [PATCH 01/43] =?UTF-8?q?=E4=BC=98=E5=8C=96JS=E7=89=88=E6=9C=AC?=
=?UTF-8?q?=E4=BB=A3=E7=A0=81=20(0039.=E7=BB=84=E5=90=88=E6=80=BB=E5=92=8C?=
=?UTF-8?q?.md)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0039.组合总和.md | 5 ++---
1 file changed, 2 insertions(+), 3 deletions(-)
diff --git a/problems/0039.组合总和.md b/problems/0039.组合总和.md
index 98b37b84..e10a827f 100644
--- a/problems/0039.组合总和.md
+++ b/problems/0039.组合总和.md
@@ -370,18 +370,17 @@ func backtracking(startIndex,sum,target int,candidates,trcak []int,res *[][]int)
```js
var combinationSum = function(candidates, target) {
const res = [], path = [];
- candidates.sort(); // 排序
+ candidates.sort((a,b)=>a-b); // 排序
backtracking(0, 0);
return res;
function backtracking(j, sum) {
- if (sum > target) return;
if (sum === target) {
res.push(Array.from(path));
return;
}
for(let i = j; i < candidates.length; i++ ) {
const n = candidates[i];
- if(n > target - sum) continue;
+ if(n > target - sum) break;
path.push(n);
sum += n;
backtracking(i, sum);
From 5b3607c6a151b6fd6dd548c1b26f3f1fb8514047 Mon Sep 17 00:00:00 2001
From: Anmizi <1845513904@qq.com>
Date: Fri, 29 Apr 2022 23:18:33 +0800
Subject: [PATCH 02/43] =?UTF-8?q?=E4=BF=AE=E6=94=B9=200040.=E7=BB=84?=
=?UTF-8?q?=E5=90=88=E6=80=BB=E5=92=8CII.md?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0040.组合总和II.md | 15 ++++++++++-----
1 file changed, 10 insertions(+), 5 deletions(-)
diff --git a/problems/0040.组合总和II.md b/problems/0040.组合总和II.md
index de13e031..34ac64e6 100644
--- a/problems/0040.组合总和II.md
+++ b/problems/0040.组合总和II.md
@@ -508,22 +508,27 @@ func backtracking(startIndex,sum,target int,candidates,trcak []int,res *[][]int)
*/
var combinationSum2 = function(candidates, target) {
const res = []; path = [], len = candidates.length;
- candidates.sort();
+ candidates.sort((a,b)=>a-b);
backtracking(0, 0);
return res;
function backtracking(sum, i) {
- if (sum > target) return;
if (sum === target) {
res.push(Array.from(path));
return;
}
- let f = -1;
for(let j = i; j < len; j++) {
const n = candidates[j];
- if(n > target - sum || n === f) continue;
+ if(j > i && candidates[j] === candidates[j-1]){
+ //若当前元素和前一个元素相等
+ //则本次循环结束,防止出现重复组合
+ continue;
+ }
+ //如果当前元素值大于目标值-总和的值
+ //由于数组已排序,那么该元素之后的元素必定不满足条件
+ //直接终止当前层的递归
+ if(n > target - sum) break;
path.push(n);
sum += n;
- f = n;
backtracking(sum, j + 1);
path.pop();
sum -= n;
From 55c78be1280054615f23c9e5859d139a7f840705 Mon Sep 17 00:00:00 2001
From: dmzlingyin
Date: Fri, 29 Apr 2022 23:38:34 +0800
Subject: [PATCH 03/43] =?UTF-8?q?update=20(0739.=E6=AF=8F=E6=97=A5?=
=?UTF-8?q?=E6=B8=A9=E5=BA=A6.md):=20python=E4=BB=A3=E7=A0=81=E9=AB=98?=
=?UTF-8?q?=E4=BA=AE?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0739.每日温度.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/problems/0739.每日温度.md b/problems/0739.每日温度.md
index 710f5eb6..7deab0a3 100644
--- a/problems/0739.每日温度.md
+++ b/problems/0739.每日温度.md
@@ -233,7 +233,7 @@ class Solution {
}
```
Python:
-``` Python3
+```python
class Solution:
def dailyTemperatures(self, temperatures: List[int]) -> List[int]:
answer = [0]*len(temperatures)
From d0a79760b65a1078284b036be6dcf8fa8eec5076 Mon Sep 17 00:00:00 2001
From: dmzlingyin
Date: Fri, 29 Apr 2022 23:41:26 +0800
Subject: [PATCH 04/43] =?UTF-8?q?update=20(0739.=E6=AF=8F=E6=97=A5?=
=?UTF-8?q?=E6=B8=A9=E5=BA=A6.md):=20=E8=AF=AD=E8=A8=80=E8=A1=A8=E8=BF=B0?=
=?UTF-8?q?=E4=BF=AE=E5=A4=8D?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0739.每日温度.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/problems/0739.每日温度.md b/problems/0739.每日温度.md
index 7deab0a3..f0f782d2 100644
--- a/problems/0739.每日温度.md
+++ b/problems/0739.每日温度.md
@@ -34,7 +34,7 @@
那么单调栈的原理是什么呢?为什么时间复杂度是O(n)就可以找到每一个元素的右边第一个比它大的元素位置呢?
-单调栈的本质是空间换时间,因为在遍历的过程中需要用一个栈来记录右边第一个比当前元素的元素,优点是只需要遍历一次。
+单调栈的本质是空间换时间,因为在遍历的过程中需要用一个栈来记录右边第一个比当前元素大的元素,优点是只需要遍历一次。
在使用单调栈的时候首先要明确如下几点:
From 636550d44c4ac65521865cca00b1c3c8b9f7c756 Mon Sep 17 00:00:00 2001
From: dmzlingyin
Date: Fri, 29 Apr 2022 23:50:31 +0800
Subject: [PATCH 05/43] =?UTF-8?q?update=20(0739.=E6=AF=8F=E6=97=A5?=
=?UTF-8?q?=E6=B8=A9=E5=BA=A6.md):=20=E5=A2=9E=E5=8A=A0=E6=9C=AA=E7=B2=BE?=
=?UTF-8?q?=E7=AE=80=E7=89=88=E6=9C=ACGo=E4=BB=A3=E7=A0=81?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0739.每日温度.md | 30 +++++++++++++++++++++++++++++-
1 file changed, 29 insertions(+), 1 deletion(-)
diff --git a/problems/0739.每日温度.md b/problems/0739.每日温度.md
index f0f782d2..206bebd2 100644
--- a/problems/0739.每日温度.md
+++ b/problems/0739.每日温度.md
@@ -277,8 +277,36 @@ func dailyTemperatures(t []int) []int {
}
```
-> 单调栈法
+> 单调栈法(未精简版本)
+```go
+func dailyTemperatures(temperatures []int) []int {
+ res := make([]int, len(temperatures))
+ // 初始化栈顶元素为第一个下标索引0
+ stack := []int{0}
+
+ for i := 1; i < len(temperatures); i++ {
+ top := stack[len(stack)-1]
+ if temperatures[i] < temperatures[top] {
+ stack = append(stack, i)
+ } else if temperatures[i] == temperatures[top] {
+ stack = append(stack, i)
+ } else {
+ for len(stack) != 0 && temperatures[i] > temperatures[top] {
+ res[top] = i - top
+ stack = stack[:len(stack)-1]
+ if len(stack) != 0 {
+ top = stack[len(stack)-1]
+ }
+ }
+ stack = append(stack, i)
+ }
+ }
+ return res
+}
+```
+
+> 单调栈法(精简版本)
```go
// 单调递减栈
func dailyTemperatures(num []int) []int {
From 49ec574821f687ea8703c61245f815bf2dc76139 Mon Sep 17 00:00:00 2001
From: dmzlingyin
Date: Sat, 30 Apr 2022 11:04:17 +0800
Subject: [PATCH 06/43] =?UTF-8?q?update=20(0496.=E4=B8=8B=E4=B8=80?=
=?UTF-8?q?=E4=B8=AA=E6=9B=B4=E5=A4=A7=E5=85=83=E7=B4=A0I):=20=E5=A2=9E?=
=?UTF-8?q?=E5=8A=A0=E6=9C=AA=E7=B2=BE=E7=AE=80Go=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0496.下一个更大元素I.md | 33 +++++++++++++++++++++++++
1 file changed, 33 insertions(+)
diff --git a/problems/0496.下一个更大元素I.md b/problems/0496.下一个更大元素I.md
index f9dfa308..02339677 100644
--- a/problems/0496.下一个更大元素I.md
+++ b/problems/0496.下一个更大元素I.md
@@ -244,6 +244,39 @@ class Solution:
```
Go:
+
+> 未精简版本
+```go
+func nextGreaterElement(nums1 []int, nums2 []int) []int {
+ res := make([]int, len(nums1))
+ for i := range res { res[i] = -1 }
+ m := make(map[int]int, len(nums1))
+ for k, v := range nums1 { m[v] = k }
+
+ stack := []int{0}
+ for i := 1; i < len(nums2); i++ {
+ top := stack[len(stack)-1]
+ if nums2[i] < nums2[top] {
+ stack = append(stack, i)
+ } else if nums2[i] == nums2[top] {
+ stack = append(stack, i)
+ } else {
+ for len(stack) != 0 && nums2[i] > nums2[top] {
+ if v, ok := m[nums2[top]]; ok {
+ res[v] = nums2[i]
+ }
+ stack = stack[:len(stack)-1]
+ if len(stack) != 0 {
+ top = stack[len(stack)-1]
+ }
+ }
+ stack = append(stack, i)
+ }
+ }
+ return res
+}
+```
+> 精简版本
```go
func nextGreaterElement(nums1 []int, nums2 []int) []int {
res := make([]int, len(nums1))
From 82e8b9eaac23041c2a358af126ec4e268ee383fa Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Sat, 30 Apr 2022 21:18:55 +0800
Subject: [PATCH 07/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880509.=E6=96=90?=
=?UTF-8?q?=E6=B3=A2=E9=82=A3=E5=A5=91=E6=95=B0.md=EF=BC=89=EF=BC=9A?=
=?UTF-8?q?=E5=A2=9E=E5=8A=A0typescript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0509.斐波那契数.md | 22 ++++++++++++++++++++++
1 file changed, 22 insertions(+)
diff --git a/problems/0509.斐波那契数.md b/problems/0509.斐波那契数.md
index d339940c..1d17784d 100644
--- a/problems/0509.斐波那契数.md
+++ b/problems/0509.斐波那契数.md
@@ -245,7 +245,29 @@ var fib = function(n) {
};
```
+TypeScript
+
+```typescript
+function fib(n: number): number {
+ /**
+ dp[i]: 第i个斐波那契数
+ dp[0]: 0;
+ dp[1]:1;
+ ...
+ dp[i] = dp[i - 1] + dp[i - 2];
+ */
+ const dp: number[] = [];
+ dp[0] = 0;
+ dp[1] = 1;
+ for (let i = 2; i <= n; i++) {
+ dp[i] = dp[i - 1] + dp[i - 2];
+ }
+ return dp[n];
+};
+```
+
### C
+
动态规划:
```c
int fib(int n){
From 0cba2d22f2d032bbf478662ef622d8022af24f21 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Sat, 30 Apr 2022 21:53:14 +0800
Subject: [PATCH 08/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880070.=E7=88=AC?=
=?UTF-8?q?=E6=A5=BC=E6=A2=AF.md=EF=BC=89=EF=BC=9A=E5=A2=9E=E5=8A=A0typesc?=
=?UTF-8?q?ript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0070.爬楼梯.md | 51 ++++++++++++++++++++++++++++++++++++++
1 file changed, 51 insertions(+)
diff --git a/problems/0070.爬楼梯.md b/problems/0070.爬楼梯.md
index da19ea0e..34d41441 100644
--- a/problems/0070.爬楼梯.md
+++ b/problems/0070.爬楼梯.md
@@ -308,7 +308,58 @@ var climbStairs = function(n) {
};
```
+TypeScript
+
+> 爬2阶
+
+```typescript
+function climbStairs(n: number): number {
+ /**
+ dp[i]: i阶楼梯的方法种数
+ dp[1]: 1;
+ dp[2]: 2;
+ ...
+ dp[i]: dp[i - 1] + dp[i - 2];
+ */
+ const dp: number[] = [];
+ dp[1] = 1;
+ dp[2] = 2;
+ for (let i = 3; i <= n; i++) {
+ dp[i] = dp[i - 1] + dp[i - 2];
+ }
+ return dp[n];
+};
+```
+
+> 爬m阶
+
+```typescript
+function climbStairs(n: number): number {
+ /**
+ 一次可以爬m阶
+ dp[i]: i阶楼梯的方法种数
+ dp[1]: 1;
+ dp[2]: 2;
+ dp[3]: dp[2] + dp[1];
+ ...
+ dp[i]: dp[i - 1] + dp[i - 2] + ... + dp[max(i - m, 1)]; 从i-1加到max(i-m, 1)
+ */
+ const m: number = 2; // 本题m为2
+ const dp: number[] = new Array(n + 1).fill(0);
+ dp[1] = 1;
+ dp[2] = 2;
+ for (let i = 3; i <= n; i++) {
+ const end: number = Math.max(i - m, 1);
+ for (let j = i - 1; j >= end; j--) {
+ dp[i] += dp[j];
+ }
+ }
+ return dp[n];
+};
+```
+
### C
+
```c
int climbStairs(int n){
//若n<=2,返回n
From 1e81ef27100c8fc76bc38ec0135a4b18554398af Mon Sep 17 00:00:00 2001
From: Beim <73528776+162-jld@users.noreply.github.com>
Date: Sun, 1 May 2022 11:51:11 +0800
Subject: [PATCH 09/43] =?UTF-8?q?Update=200383.=E8=B5=8E=E9=87=91=E4=BF=A1?=
=?UTF-8?q?.md?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0383.赎金信.md | 28 +++++++++++++++-------------
1 file changed, 15 insertions(+), 13 deletions(-)
diff --git a/problems/0383.赎金信.md b/problems/0383.赎金信.md
index 00707347..56dcb8dd 100644
--- a/problems/0383.赎金信.md
+++ b/problems/0383.赎金信.md
@@ -110,23 +110,25 @@ Java:
```Java
class Solution {
public boolean canConstruct(String ransomNote, String magazine) {
- //记录杂志字符串出现的次数
- int[] arr = new int[26];
- int temp;
- for (int i = 0; i < magazine.length(); i++) {
- temp = magazine.charAt(i) - 'a';
- arr[temp]++;
+ // 定义一个哈希映射数组
+ int[] record = new int[26];
+
+ // 遍历
+ for(char c : magazine.toCharArray()){
+ record[c - 'a'] += 1;
}
- for (int i = 0; i < ransomNote.length(); i++) {
- temp = ransomNote.charAt(i) - 'a';
- //对于金信中的每一个字符都在数组中查找
- //找到相应位减一,否则找不到返回false
- if (arr[temp] > 0) {
- arr[temp]--;
- } else {
+
+ for(char c : ransomNote.toCharArray()){
+ record[c - 'a'] -= 1;
+ }
+
+ // 如果数组中存在负数,说明ransomNote字符串总存在magazine中没有的字符
+ for(int i : record){
+ if(i < 0){
return false;
}
}
+
return true;
}
}
From 25e26f1f86bf246f93560710f41dcf5a26414770 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Sun, 1 May 2022 13:45:25 +0800
Subject: [PATCH 10/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0(0746.=E4=BD=BF?=
=?UTF-8?q?=E7=94=A8=E6=9C=80=E5=B0=8F=E8=8A=B1=E8=B4=B9=E7=88=AC=E6=A5=BC?=
=?UTF-8?q?=E6=A2=AF.md)=EF=BC=9A=E5=A2=9E=E5=8A=A0typescript=E7=89=88?=
=?UTF-8?q?=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0746.使用最小花费爬楼梯.md | 23 ++++++++++++++++++++
1 file changed, 23 insertions(+)
diff --git a/problems/0746.使用最小花费爬楼梯.md b/problems/0746.使用最小花费爬楼梯.md
index c356955a..5931fc8a 100644
--- a/problems/0746.使用最小花费爬楼梯.md
+++ b/problems/0746.使用最小花费爬楼梯.md
@@ -266,7 +266,30 @@ var minCostClimbingStairs = function(cost) {
};
```
+### TypeScript
+
+```typescript
+function minCostClimbingStairs(cost: number[]): number {
+ /**
+ dp[i]: 走到第i阶需要花费的最少金钱
+ dp[0]: cost[0];
+ dp[1]: cost[1];
+ ...
+ dp[i]: min(dp[i - 1], dp[i - 2]) + cost[i];
+ */
+ const dp: number[] = [];
+ const length: number = cost.length;
+ dp[0] = cost[0];
+ dp[1] = cost[1];
+ for (let i = 2; i <= length; i++) {
+ dp[i] = Math.min(dp[i - 1], dp[i - 2]) + cost[i];
+ }
+ return Math.min(dp[length - 1], dp[length - 2]);
+};
+```
+
### C
+
```c
int minCostClimbingStairs(int* cost, int costSize){
//开辟dp数组,大小为costSize
From fc28660b6189b010709bedc7dd5acf678eaf47ed Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Sun, 1 May 2022 14:42:12 +0800
Subject: [PATCH 11/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880062.=E4=B8=8D?=
=?UTF-8?q?=E5=90=8C=E8=B7=AF=E5=BE=84.md=EF=BC=89=EF=BC=9A=E5=A2=9E?=
=?UTF-8?q?=E5=8A=A0typescript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0062.不同路径.md | 30 +++++++++++++++++++++++++++++-
1 file changed, 29 insertions(+), 1 deletion(-)
diff --git a/problems/0062.不同路径.md b/problems/0062.不同路径.md
index 4a9af129..f59b7be8 100644
--- a/problems/0062.不同路径.md
+++ b/problems/0062.不同路径.md
@@ -273,7 +273,7 @@ public:
return dp[m-1][n-1];
}
-```
+```
### Python
```python
@@ -347,7 +347,35 @@ var uniquePaths = function(m, n) {
};
```
+### TypeScript
+
+```typescript
+function uniquePaths(m: number, n: number): number {
+ /**
+ dp[i][j]: 到达(i, j)的路径数
+ dp[0][*]: 1;
+ dp[*][0]: 1;
+ ...
+ dp[i][j]: dp[i - 1][j] + dp[i][j - 1];
+ */
+ const dp: number[][] = new Array(m).fill(0).map(_ => []);
+ for (let i = 0; i < m; i++) {
+ dp[i][0] = 1;
+ }
+ for (let i = 0; i < n; i++) {
+ dp[0][i] = 1;
+ }
+ for (let i = 1; i < m; i++) {
+ for (let j = 1; j < n; j++) {
+ dp[i][j] = dp[i - 1][j] + dp[i][j - 1];
+ }
+ }
+ return dp[m - 1][n - 1];
+};
+```
+
### C
+
```c
//初始化dp数组
int **initDP(int m, int n) {
From 8c596b161a140a76ea57130ac61a009308bd277c Mon Sep 17 00:00:00 2001
From: Beim <1497359184@qq.com>
Date: Sun, 1 May 2022 15:45:58 +0800
Subject: [PATCH 12/43] modify_problems_0383
---
README.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
index 1d7f219d..3d44ca69 100644
--- a/README.md
+++ b/README.md
@@ -31,7 +31,7 @@
-# LeetCode 刷题攻略
+# LeetCode 刷题攻略1111
## 刷题攻略的背景
@@ -254,7 +254,7 @@
33. [二叉树:构造一棵搜索树](./problems/0108.将有序数组转换为二叉搜索树.md)
34. [二叉树:搜索树转成累加树](./problems/0538.把二叉搜索树转换为累加树.md)
35. [二叉树:总结篇!(需要掌握的二叉树技能都在这里了)](./problems/二叉树总结篇.md)
-
+
## 回溯算法
题目分类大纲如下:
From d3e1f1d3b3406f28e7494340928fbc1866c0b6f6 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Sun, 1 May 2022 19:24:05 +0800
Subject: [PATCH 13/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880063.=E4=B8=8D?=
=?UTF-8?q?=E5=90=8C=E8=B7=AF=E5=BE=84II.md=EF=BC=89=EF=BC=9A=E5=A2=9E?=
=?UTF-8?q?=E5=8A=A0typescript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0063.不同路径II.md | 33 ++++++++++++++++++++++++++++++++-
1 file changed, 32 insertions(+), 1 deletion(-)
diff --git a/problems/0063.不同路径II.md b/problems/0063.不同路径II.md
index a40cceda..d09ea0e6 100644
--- a/problems/0063.不同路径II.md
+++ b/problems/0063.不同路径II.md
@@ -352,7 +352,38 @@ var uniquePathsWithObstacles = function(obstacleGrid) {
};
```
-C
+### TypeScript
+
+```typescript
+function uniquePathsWithObstacles(obstacleGrid: number[][]): number {
+ /**
+ dp[i][j]: 到达(i, j)的路径数
+ dp[0][*]: 用u表示第一个障碍物下标,则u之前为1,u之后(含u)为0
+ dp[*][0]: 同上
+ ...
+ dp[i][j]: obstacleGrid[i][j] === 1 ? 0 : dp[i-1][j] + dp[i][j-1];
+ */
+ const m: number = obstacleGrid.length;
+ const n: number = obstacleGrid[0].length;
+ const dp: number[][] = new Array(m).fill(0).map(_ => new Array(n).fill(0));
+ for (let i = 0; i < m && obstacleGrid[i][0] === 0; i++) {
+ dp[i][0] = 1;
+ }
+ for (let i = 0; i < n && obstacleGrid[0][i] === 0; i++) {
+ dp[0][i] = 1;
+ }
+ for (let i = 1; i < m; i++) {
+ for (let j = 1; j < n; j++) {
+ if (obstacleGrid[i][j] === 1) continue;
+ dp[i][j] = dp[i - 1][j] + dp[i][j - 1];
+ }
+ }
+ return dp[m - 1][n - 1];
+};
+```
+
+### C
+
```c
//初始化dp数组
int **initDP(int m, int n, int** obstacleGrid) {
From dd514eb08787dd203cea4668f75477971b4e88fe Mon Sep 17 00:00:00 2001
From: wang <472146630@qq.com>
Date: Sun, 1 May 2022 21:08:57 +0800
Subject: [PATCH 14/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=200053.=E6=9C=80?=
=?UTF-8?q?=E5=A4=A7=E5=AD=90=E5=BA=8F=E5=92=8C=E3=80=810135=E5=88=86?=
=?UTF-8?q?=E5=8F=91=E7=B3=96=E6=9E=9C=E5=92=8C0455=E5=88=86=E5=8F=91?=
=?UTF-8?q?=E9=A5=BC=E5=B9=B2=E7=9A=84=20Rust=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0053.最大子序和.md | 20 +++++++++++++++---
problems/0135.分发糖果.md | 29 ++++++++++++++++++++-----
problems/0455.分发饼干.md | 36 +++++++++++++++++++++++++-------
3 files changed, 69 insertions(+), 16 deletions(-)
diff --git a/problems/0053.最大子序和.md b/problems/0053.最大子序和.md
index b5fb7642..9dbc7313 100644
--- a/problems/0053.最大子序和.md
+++ b/problems/0053.最大子序和.md
@@ -140,7 +140,7 @@ public:
## 其他语言版本
-### Java
+### Java
```java
class Solution {
public int maxSubArray(int[] nums) {
@@ -180,7 +180,7 @@ class Solution {
}
```
-### Python
+### Python
```python
class Solution:
def maxSubArray(self, nums: List[int]) -> int:
@@ -195,7 +195,7 @@ class Solution:
return result
```
-### Go
+### Go
```go
func maxSubArray(nums []int) int {
@@ -212,6 +212,20 @@ func maxSubArray(nums []int) int {
}
```
+### Rust
+```rust
+pub fn max_sub_array(nums: Vec) -> i32 {
+ let mut max_sum = i32::MIN;
+ let mut curr = 0;
+ for n in nums.iter() {
+ curr += n;
+ max_sum = max_sum.max(curr);
+ curr = curr.max(0);
+ }
+ max_sum
+}
+```
+
### Javascript:
```Javascript
var maxSubArray = function(nums) {
diff --git a/problems/0135.分发糖果.md b/problems/0135.分发糖果.md
index ccdabc16..ce738689 100644
--- a/problems/0135.分发糖果.md
+++ b/problems/0135.分发糖果.md
@@ -126,11 +126,11 @@ public:
## 其他语言版本
-### Java
+### Java
```java
class Solution {
- /**
- 分两个阶段
+ /**
+ 分两个阶段
1、起点下标1 从左往右,只要 右边 比 左边 大,右边的糖果=左边 + 1
2、起点下标 ratings.length - 2 从右往左, 只要左边 比 右边 大,此时 左边的糖果应该 取本身的糖果数(符合比它左边大) 和 右边糖果数 + 1 二者的最大值,这样才符合 它比它左边的大,也比它右边大
*/
@@ -160,7 +160,7 @@ class Solution {
}
```
-### Python
+### Python
```python
class Solution:
def candy(self, ratings: List[int]) -> int:
@@ -213,6 +213,25 @@ func findMax(num1 int ,num2 int) int{
}
```
+### Rust
+```rust
+pub fn candy(ratings: Vec) -> i32 {
+ let mut candies = vec![1i32; ratings.len()];
+ for i in 1..ratings.len() {
+ if ratings[i - 1] < ratings[i] {
+ candies[i] = candies[i - 1] + 1;
+ }
+ }
+
+ for i in (0..ratings.len()-1).rev() {
+ if ratings[i] > ratings[i + 1] {
+ candies[i] = candies[i].max(candies[i + 1] + 1);
+ }
+ }
+ candies.iter().sum()
+}
+```
+
### Javascript:
```Javascript
var candy = function(ratings) {
@@ -229,7 +248,7 @@ var candy = function(ratings) {
candys[i] = Math.max(candys[i], candys[i + 1] + 1)
}
}
-
+
let count = candys.reduce((a, b) => {
return a + b
})
diff --git a/problems/0455.分发饼干.md b/problems/0455.分发饼干.md
index d95a407a..17db4a85 100644
--- a/problems/0455.分发饼干.md
+++ b/problems/0455.分发饼干.md
@@ -106,7 +106,7 @@ public:
## 其他语言版本
-### Java
+### Java
```java
class Solution {
// 思路1:优先考虑饼干,小饼干先喂饱小胃口
@@ -145,7 +145,7 @@ class Solution {
}
```
-### Python
+### Python
```python
class Solution:
# 思路1:优先考虑胃饼干
@@ -166,13 +166,13 @@ class Solution:
s.sort()
start, count = len(s) - 1, 0
for index in range(len(g) - 1, -1, -1): # 先喂饱大胃口
- if start >= 0 and g[index] <= s[start]:
+ if start >= 0 and g[index] <= s[start]:
start -= 1
count += 1
return count
```
-### Go
+### Go
```golang
//排序后,局部最优
func findContentChildren(g []int, s []int) int {
@@ -191,7 +191,27 @@ func findContentChildren(g []int, s []int) int {
}
```
-### Javascript
+### Rust
+```rust
+pub fn find_content_children(children: Vec, cookie: Vec) -> i32 {
+ let mut children = children;
+ let mut cookies = cookie;
+ children.sort();
+ cookies.sort();
+
+ let (mut child, mut cookie) = (0usize, 0usize);
+ while child < children.len() && cookie < cookies.len() {
+ // 优先选择最小饼干喂饱孩子
+ if children[child] <= cookies[cookie] {
+ child += 1;
+ }
+ cookie += 1
+ }
+ child as i32
+}
+```
+
+### Javascript
```js
var findContentChildren = function(g, s) {
g = g.sort((a, b) => a - b)
@@ -203,7 +223,7 @@ var findContentChildren = function(g, s) {
result++
index--
}
- }
+ }
return result
};
@@ -251,7 +271,7 @@ function findContentChildren(g: number[], s: number[]): number {
};
```
-### C
+### C
```c
int cmp(int* a, int* b) {
@@ -261,7 +281,7 @@ int cmp(int* a, int* b) {
int findContentChildren(int* g, int gSize, int* s, int sSize){
if(sSize == 0)
return 0;
-
+
//将两个数组排序为升序
qsort(g, gSize, sizeof(int), cmp);
qsort(s, sSize, sizeof(int), cmp);
From 4c03ad7a78fcb324da45e97a2cfca618af1086c8 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Sun, 1 May 2022 22:32:12 +0800
Subject: [PATCH 15/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880343.=E6=95=B4?=
=?UTF-8?q?=E6=95=B0=E6=8B=86=E5=88=86.md=EF=BC=89=EF=BC=9A=E5=A2=9E?=
=?UTF-8?q?=E5=8A=A0typescript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0343.整数拆分.md | 28 +++++++++++++++++++++++++++-
1 file changed, 27 insertions(+), 1 deletion(-)
diff --git a/problems/0343.整数拆分.md b/problems/0343.整数拆分.md
index 4a7ba6ab..279f1d71 100644
--- a/problems/0343.整数拆分.md
+++ b/problems/0343.整数拆分.md
@@ -274,7 +274,33 @@ var integerBreak = function(n) {
};
```
-C:
+### TypeScript
+
+```typescript
+function integerBreak(n: number): number {
+ /**
+ dp[i]: i对应的最大乘积
+ dp[2]: 1;
+ ...
+ dp[i]: max(
+ 1 * dp[i - 1], 1 * (i - 1),
+ 2 * dp[i - 2], 2 * (i - 2),
+ ..., (i - 2) * dp[2], (i - 2) * 2
+ );
+ */
+ const dp: number[] = new Array(n + 1).fill(0);
+ dp[2] = 1;
+ for (let i = 3; i <= n; i++) {
+ for (let j = 1; j <= i - 2; j++) {
+ dp[i] = Math.max(dp[i], j * dp[i - j], j * (i - j));
+ }
+ }
+ return dp[n];
+};
+```
+
+### C
+
```c
//初始化DP数组
int *initDP(int num) {
From b1ef364ffb9c0082f401c34bdd6bf22c4f330fa5 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Mon, 2 May 2022 17:25:45 +0800
Subject: [PATCH 16/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880096.=E4=B8=8D?=
=?UTF-8?q?=E5=90=8C=E7=9A=84=E4=BA=8C=E5=8F=89=E6=90=9C=E7=B4=A2=E6=A0=91?=
=?UTF-8?q?.md=EF=BC=89=EF=BC=9A=E5=A2=9E=E5=8A=A0typescript=E7=89=88?=
=?UTF-8?q?=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0096.不同的二叉搜索树.md | 28 ++++++++++++++++++++++-
1 file changed, 27 insertions(+), 1 deletion(-)
diff --git a/problems/0096.不同的二叉搜索树.md b/problems/0096.不同的二叉搜索树.md
index 41fcb8fe..25561b50 100644
--- a/problems/0096.不同的二叉搜索树.md
+++ b/problems/0096.不同的二叉搜索树.md
@@ -227,7 +227,33 @@ const numTrees =(n) => {
};
```
-C:
+TypeScript
+
+```typescript
+function numTrees(n: number): number {
+ /**
+ dp[i]: i个节点对应的种树
+ dp[0]: -1; 无意义;
+ dp[1]: 1;
+ ...
+ dp[i]: 2 * dp[i - 1] +
+ (dp[1] * dp[i - 2] + dp[2] * dp[i - 3] + ... + dp[i - 2] * dp[1]); 从1加到i-2
+ */
+ const dp: number[] = [];
+ dp[0] = -1; // 表示无意义
+ dp[1] = 1;
+ for (let i = 2; i <= n; i++) {
+ dp[i] = 2 * dp[i - 1];
+ for (let j = 1, end = i - 1; j < end; j++) {
+ dp[i] += dp[j] * dp[end - j];
+ }
+ }
+ return dp[n];
+};
+```
+
+### C
+
```c
//开辟dp数组
int *initDP(int n) {
From 5440c3d46b16565a265e30e498662829bf40b5e1 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Tue, 3 May 2022 11:48:03 +0800
Subject: [PATCH 17/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=88=E8=83=8C?=
=?UTF-8?q?=E5=8C=85=E7=90=86=E8=AE=BA=E5=9F=BA=E7=A1=8001=E8=83=8C?=
=?UTF-8?q?=E5=8C=85-1.md=EF=BC=89=EF=BC=9A=E5=A2=9E=E5=8A=A0typescript?=
=?UTF-8?q?=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/背包理论基础01背包-1.md | 42 ++++++++++++++++++++++++
1 file changed, 42 insertions(+)
diff --git a/problems/背包理论基础01背包-1.md b/problems/背包理论基础01背包-1.md
index fe940b4c..257e87e4 100644
--- a/problems/背包理论基础01背包-1.md
+++ b/problems/背包理论基础01背包-1.md
@@ -423,5 +423,47 @@ function test () {
test();
```
+### TypeScript
+
+```typescript
+function testWeightBagProblem(
+ weight: number[],
+ value: number[],
+ size: number
+): number {
+ /**
+ * dp[i][j]: 前i个物品,背包容量为j,能获得的最大价值
+ * dp[0][*]: u=weight[0],u之前为0,u之后(含u)为value[0]
+ * dp[*][0]: 0
+ * ...
+ * dp[i][j]: max(dp[i-1][j], dp[i-1][j-weight[i]]+value[i]);
+ */
+ const goodsNum: number = weight.length;
+ const dp: number[][] = new Array(goodsNum)
+ .fill(0)
+ .map((_) => new Array(size + 1).fill(0));
+ for (let i = weight[0]; i <= size; i++) {
+ dp[0][i] = value[0];
+ }
+ for (let i = 1; i < goodsNum; i++) {
+ for (let j = 1; j <= size; j++) {
+ if (j < weight[i]) {
+ dp[i][j] = dp[i - 1][j];
+ } else {
+ dp[i][j] = Math.max(dp[i - 1][j], dp[i - 1][j - weight[i]] + value[i]);
+ }
+ }
+ }
+ return dp[goodsNum - 1][size];
+}
+// test
+const weight = [1, 3, 4];
+const value = [15, 20, 30];
+const size = 4;
+console.log(testWeightBagProblem(weight, value, size));
+```
+
+
+
-----------------------
From 36f630b109a93685bb241884e5584b327028d5f5 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Tue, 3 May 2022 12:34:20 +0800
Subject: [PATCH 18/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=88=E8=83=8C?=
=?UTF-8?q?=E5=8C=85=E7=90=86=E8=AE=BA=E5=9F=BA=E7=A1=8001=E8=83=8C?=
=?UTF-8?q?=E5=8C=85-2.md=EF=BC=89=EF=BC=9A=E5=A2=9E=E5=8A=A0typescript?=
=?UTF-8?q?=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/背包理论基础01背包-2.md | 24 ++++++++++++++++++++++++
1 file changed, 24 insertions(+)
diff --git a/problems/背包理论基础01背包-2.md b/problems/背包理论基础01背包-2.md
index dabdfb2d..bb5e3a03 100644
--- a/problems/背包理论基础01背包-2.md
+++ b/problems/背包理论基础01背包-2.md
@@ -315,6 +315,30 @@ function test () {
test();
```
+### TypeScript
+
+```typescript
+function testWeightBagProblem(
+ weight: number[],
+ value: number[],
+ size: number
+): number {
+ const goodsNum: number = weight.length;
+ const dp: number[] = new Array(size + 1).fill(0);
+ for (let i = 0; i < goodsNum; i++) {
+ for (let j = size; j >= weight[i]; j--) {
+ dp[j] = Math.max(dp[j], dp[j - weight[i]] + value[i]);
+ }
+ }
+ return dp[size];
+}
+const weight = [1, 3, 4];
+const value = [15, 20, 30];
+const size = 4;
+console.log(testWeightBagProblem(weight, value, size));
+
+```
+
-----------------------
From a38ee5f525af998683a2d0fb38f6c6cac1312f5d Mon Sep 17 00:00:00 2001
From: Frankheartusf <104822497+Frankheartusf@users.noreply.github.com>
Date: Tue, 3 May 2022 17:31:37 +0800
Subject: [PATCH 19/43] Add files via upload
---
0045.跳跃游戏II.md | 287 +++++++++++++++++++++++++++++++++++++++++
1 file changed, 287 insertions(+)
create mode 100644 0045.跳跃游戏II.md
diff --git a/0045.跳跃游戏II.md b/0045.跳跃游戏II.md
new file mode 100644
index 00000000..c0d3c3e5
--- /dev/null
+++ b/0045.跳跃游戏II.md
@@ -0,0 +1,287 @@
+
+
+
+
+
参与本项目,贡献其他语言版本的代码,拥抱开源,让更多学习算法的小伙伴们收益!
+
+
+> 相对于[贪心算法:跳跃游戏](https://mp.weixin.qq.com/s/606_N9j8ACKCODoCbV1lSA)难了不少,做好心里准备!
+
+# 45.跳跃游戏II
+
+[力扣题目链接](https://leetcode-cn.com/problems/jump-game-ii/)
+
+给定一个非负整数数组,你最初位于数组的第一个位置。
+
+数组中的每个元素代表你在该位置可以跳跃的最大长度。
+
+你的目标是使用最少的跳跃次数到达数组的最后一个位置。
+
+示例:
+* 输入: [2,3,1,1,4]
+* 输出: 2
+* 解释: 跳到最后一个位置的最小跳跃数是 2。从下标为 0 跳到下标为 1 的位置,跳 1 步,然后跳 3 步到达数组的最后一个位置。
+
+说明:
+假设你总是可以到达数组的最后一个位置。
+
+
+## 思路
+
+本题相对于[55.跳跃游戏](https://programmercarl.com/0055.跳跃游戏.html)还是难了不少。
+
+但思路是相似的,还是要看最大覆盖范围。
+
+本题要计算最小步数,那么就要想清楚什么时候步数才一定要加一呢?
+
+贪心的思路,局部最优:当前可移动距离尽可能多走,如果还没到终点,步数再加一。整体最优:一步尽可能多走,从而达到最小步数。
+
+思路虽然是这样,但在写代码的时候还不能真的就能跳多远跳远,那样就不知道下一步最远能跳到哪里了。
+
+**所以真正解题的时候,要从覆盖范围出发,不管怎么跳,覆盖范围内一定是可以跳到的,以最小的步数增加覆盖范围,覆盖范围一旦覆盖了终点,得到的就是最小步数!**
+
+**这里需要统计两个覆盖范围,当前这一步的最大覆盖和下一步最大覆盖**。
+
+如果移动下标达到了当前这一步的最大覆盖最远距离了,还没有到终点的话,那么就必须再走一步来增加覆盖范围,直到覆盖范围覆盖了终点。
+
+如图:
+
+
+
+**图中覆盖范围的意义在于,只要红色的区域,最多两步一定可以到!(不用管具体怎么跳,反正一定可以跳到)**
+
+## 方法一
+
+从图中可以看出来,就是移动下标达到了当前覆盖的最远距离下标时,步数就要加一,来增加覆盖距离。最后的步数就是最少步数。
+
+这里还是有个特殊情况需要考虑,当移动下标达到了当前覆盖的最远距离下标时
+
+* 如果当前覆盖最远距离下标不是是集合终点,步数就加一,还需要继续走。
+* 如果当前覆盖最远距离下标就是是集合终点,步数不用加一,因为不能再往后走了。
+
+C++代码如下:(详细注释)
+
+```CPP
+// 版本一
+class Solution {
+public:
+ int jump(vector& nums) {
+ if (nums.size() == 1) return 0;
+ int curDistance = 0; // 当前覆盖最远距离下标
+ int ans = 0; // 记录走的最大步数
+ int nextDistance = 0; // 下一步覆盖最远距离下标
+ for (int i = 0; i < nums.size(); i++) {
+ nextDistance = max(nums[i] + i, nextDistance); // 更新下一步覆盖最远距离下标
+ if (i == curDistance) { // 遇到当前覆盖最远距离下标
+ if (curDistance != nums.size() - 1) { // 如果当前覆盖最远距离下标不是终点
+ ans++; // 需要走下一步
+ curDistance = nextDistance; // 更新当前覆盖最远距离下标(相当于加油了)
+ if (nextDistance >= nums.size() - 1) break; // 下一步的覆盖范围已经可以达到终点,结束循环
+ } else break; // 当前覆盖最远距离下标是集合终点,不用做ans++操作了,直接结束
+ }
+ }
+ return ans;
+ }
+};
+```
+
+## 方法二
+
+依然是贪心,思路和方法一差不多,代码可以简洁一些。
+
+**针对于方法一的特殊情况,可以统一处理**,即:移动下标只要遇到当前覆盖最远距离的下标,直接步数加一,不考虑是不是终点的情况。
+
+想要达到这样的效果,只要让移动下标,最大只能移动到nums.size - 2的地方就可以了。
+
+因为当移动下标指向nums.size - 2时:
+
+* 如果移动下标等于当前覆盖最大距离下标, 需要再走一步(即ans++),因为最后一步一定是可以到的终点。(题目假设总是可以到达数组的最后一个位置),如图:
+
+
+* 如果移动下标不等于当前覆盖最大距离下标,说明当前覆盖最远距离就可以直接达到终点了,不需要再走一步。如图:
+
+
+
+代码如下:
+
+```CPP
+// 版本二
+class Solution {
+public:
+ int jump(vector& nums) {
+ int curDistance = 0; // 当前覆盖的最远距离下标
+ int ans = 0; // 记录走的最大步数
+ int nextDistance = 0; // 下一步覆盖的最远距离下标
+ for (int i = 0; i < nums.size() - 1; i++) { // 注意这里是小于nums.size() - 1,这是关键所在
+ nextDistance = max(nums[i] + i, nextDistance); // 更新下一步覆盖的最远距离下标
+ if (i == curDistance) { // 遇到当前覆盖的最远距离下标
+ curDistance = nextDistance; // 更新当前覆盖的最远距离下标
+ ans++;
+ }
+ }
+ return ans;
+ }
+};
+```
+
+可以看出版本二的代码相对于版本一简化了不少!
+
+其精髓在于控制移动下标i只移动到nums.size() - 2的位置,所以移动下标只要遇到当前覆盖最远距离的下标,直接步数加一,不用考虑别的了。
+
+## 总结
+
+相信大家可以发现,这道题目相当于[55.跳跃游戏](https://programmercarl.com/0055.跳跃游戏.html)难了不止一点。
+
+但代码又十分简单,贪心就是这么巧妙。
+
+理解本题的关键在于:**以最小的步数增加最大的覆盖范围,直到覆盖范围覆盖了终点**,这个范围内最小步数一定可以跳到,不用管具体是怎么跳的,不纠结于一步究竟跳一个单位还是两个单位。
+
+
+## 其他语言版本
+
+
+### Java
+```Java
+// 版本一
+class Solution {
+ public int jump(int[] nums) {
+ if (nums == null || nums.length == 0 || nums.length == 1) {
+ return 0;
+ }
+ //记录跳跃的次数
+ int count=0;
+ //当前的覆盖最大区域
+ int curDistance = 0;
+ //最大的覆盖区域
+ int maxDistance = 0;
+ for (int i = 0; i < nums.length; i++) {
+ //在可覆盖区域内更新最大的覆盖区域
+ maxDistance = Math.max(maxDistance,i+nums[i]);
+ //说明当前一步,再跳一步就到达了末尾
+ if (maxDistance>=nums.length-1){
+ count++;
+ break;
+ }
+ //走到当前覆盖的最大区域时,更新下一步可达的最大区域
+ if (i==curDistance){
+ curDistance = maxDistance;
+ count++;
+ }
+ }
+ return count;
+ }
+}
+```
+
+```java
+// 版本二
+class Solution {
+ public int jump(int[] nums) {
+ int result = 0;
+ // 当前覆盖的最远距离下标
+ int end = 0;
+ // 下一步覆盖的最远距离下标
+ int temp = 0;
+ for (int i = 0; i <= end && end < nums.length - 1; ++i) {
+ temp = Math.max(temp, i + nums[i]);
+ // 可达位置的改变次数就是跳跃次数
+ if (i == end) {
+ end = temp;
+ result++;
+ }
+ }
+ return result;
+ }
+}
+```
+
+### Python
+
+```python
+class Solution:
+ def jump(self, nums: List[int]) -> int:
+ if len(nums) == 1: return 0
+ ans = 0
+ curDistance = 0
+ nextDistance = 0
+ for i in range(len(nums)):
+ nextDistance = max(i + nums[i], nextDistance)
+ if i == curDistance:
+ if curDistance != len(nums) - 1:
+ ans += 1
+ curDistance = nextDistance
+ if nextDistance >= len(nums) - 1: break
+ return ans
+```
+
+### Go
+```Go
+func jump(nums []int) int {
+ dp := make([]int, len(nums))
+ dp[0] = 0//初始第一格跳跃数一定为0
+
+ for i := 1; i < len(nums); i++ {
+ dp[i] = i
+ for j := 0; j < i; j++ {
+ if nums[j] + j >= i {//nums[j]为起点,j为往右跳的覆盖范围,这行表示从j能跳到i
+ dp[i] = min(dp[j] + 1, dp[i])//更新最小能到i的跳跃次数
+ }
+ }
+ }
+ return dp[len(nums)-1]
+}
+
+func min(a, b int) int {
+ if a < b {
+ return a
+ } else {
+ return b
+ }
+}
+```
+
+### Javascript
+```Javascript
+var jump = function(nums) {
+ let curIndex = 0
+ let nextIndex = 0
+ let steps = 0
+ for(let i = 0; i < nums.length - 1; i++) {
+ nextIndex = Math.max(nums[i] + i, nextIndex)
+ if(i === curIndex) {
+ curIndex = nextIndex
+ steps++
+ }
+ }
+
+ return steps
+};
+```
+
+### TypeScript
+
+```typescript
+function jump(nums: number[]): number {
+ const length: number = nums.length;
+ let curFarthestIndex: number = 0,
+ nextFarthestIndex: number = 0;
+ let curIndex: number = 0;
+ let stepNum: number = 0;
+ while (curIndex < length - 1) {
+ nextFarthestIndex = Math.max(nextFarthestIndex, curIndex + nums[curIndex]);
+ if (curIndex === curFarthestIndex) {
+ curFarthestIndex = nextFarthestIndex;
+ stepNum++;
+ }
+ curIndex++;
+ }
+ return stepNum;
+};
+```
+
+
+
+
+
+-----------------------
+
From 64d477e3f05c2b7ebb8aa3b5b8ed27578b5a1b31 Mon Sep 17 00:00:00 2001
From: Frankheartusf <2332517004@qq.com>
Date: Tue, 3 May 2022 17:50:07 +0800
Subject: [PATCH 20/43] =?UTF-8?q?=E4=BF=AE=E6=94=B9=200045=20=E8=B7=B3?=
=?UTF-8?q?=E8=B7=83=E9=97=AE=E9=A2=98II=20golang=E4=BB=A3=E7=A0=81?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
0045.跳跃游戏II.md | 287 --------------------------------
problems/0045.跳跃游戏II.md | 30 ++--
2 files changed, 19 insertions(+), 298 deletions(-)
delete mode 100644 0045.跳跃游戏II.md
diff --git a/0045.跳跃游戏II.md b/0045.跳跃游戏II.md
deleted file mode 100644
index c0d3c3e5..00000000
--- a/0045.跳跃游戏II.md
+++ /dev/null
@@ -1,287 +0,0 @@
-
-
-
-
-
参与本项目,贡献其他语言版本的代码,拥抱开源,让更多学习算法的小伙伴们收益!
-
-
-> 相对于[贪心算法:跳跃游戏](https://mp.weixin.qq.com/s/606_N9j8ACKCODoCbV1lSA)难了不少,做好心里准备!
-
-# 45.跳跃游戏II
-
-[力扣题目链接](https://leetcode-cn.com/problems/jump-game-ii/)
-
-给定一个非负整数数组,你最初位于数组的第一个位置。
-
-数组中的每个元素代表你在该位置可以跳跃的最大长度。
-
-你的目标是使用最少的跳跃次数到达数组的最后一个位置。
-
-示例:
-* 输入: [2,3,1,1,4]
-* 输出: 2
-* 解释: 跳到最后一个位置的最小跳跃数是 2。从下标为 0 跳到下标为 1 的位置,跳 1 步,然后跳 3 步到达数组的最后一个位置。
-
-说明:
-假设你总是可以到达数组的最后一个位置。
-
-
-## 思路
-
-本题相对于[55.跳跃游戏](https://programmercarl.com/0055.跳跃游戏.html)还是难了不少。
-
-但思路是相似的,还是要看最大覆盖范围。
-
-本题要计算最小步数,那么就要想清楚什么时候步数才一定要加一呢?
-
-贪心的思路,局部最优:当前可移动距离尽可能多走,如果还没到终点,步数再加一。整体最优:一步尽可能多走,从而达到最小步数。
-
-思路虽然是这样,但在写代码的时候还不能真的就能跳多远跳远,那样就不知道下一步最远能跳到哪里了。
-
-**所以真正解题的时候,要从覆盖范围出发,不管怎么跳,覆盖范围内一定是可以跳到的,以最小的步数增加覆盖范围,覆盖范围一旦覆盖了终点,得到的就是最小步数!**
-
-**这里需要统计两个覆盖范围,当前这一步的最大覆盖和下一步最大覆盖**。
-
-如果移动下标达到了当前这一步的最大覆盖最远距离了,还没有到终点的话,那么就必须再走一步来增加覆盖范围,直到覆盖范围覆盖了终点。
-
-如图:
-
-
-
-**图中覆盖范围的意义在于,只要红色的区域,最多两步一定可以到!(不用管具体怎么跳,反正一定可以跳到)**
-
-## 方法一
-
-从图中可以看出来,就是移动下标达到了当前覆盖的最远距离下标时,步数就要加一,来增加覆盖距离。最后的步数就是最少步数。
-
-这里还是有个特殊情况需要考虑,当移动下标达到了当前覆盖的最远距离下标时
-
-* 如果当前覆盖最远距离下标不是是集合终点,步数就加一,还需要继续走。
-* 如果当前覆盖最远距离下标就是是集合终点,步数不用加一,因为不能再往后走了。
-
-C++代码如下:(详细注释)
-
-```CPP
-// 版本一
-class Solution {
-public:
- int jump(vector& nums) {
- if (nums.size() == 1) return 0;
- int curDistance = 0; // 当前覆盖最远距离下标
- int ans = 0; // 记录走的最大步数
- int nextDistance = 0; // 下一步覆盖最远距离下标
- for (int i = 0; i < nums.size(); i++) {
- nextDistance = max(nums[i] + i, nextDistance); // 更新下一步覆盖最远距离下标
- if (i == curDistance) { // 遇到当前覆盖最远距离下标
- if (curDistance != nums.size() - 1) { // 如果当前覆盖最远距离下标不是终点
- ans++; // 需要走下一步
- curDistance = nextDistance; // 更新当前覆盖最远距离下标(相当于加油了)
- if (nextDistance >= nums.size() - 1) break; // 下一步的覆盖范围已经可以达到终点,结束循环
- } else break; // 当前覆盖最远距离下标是集合终点,不用做ans++操作了,直接结束
- }
- }
- return ans;
- }
-};
-```
-
-## 方法二
-
-依然是贪心,思路和方法一差不多,代码可以简洁一些。
-
-**针对于方法一的特殊情况,可以统一处理**,即:移动下标只要遇到当前覆盖最远距离的下标,直接步数加一,不考虑是不是终点的情况。
-
-想要达到这样的效果,只要让移动下标,最大只能移动到nums.size - 2的地方就可以了。
-
-因为当移动下标指向nums.size - 2时:
-
-* 如果移动下标等于当前覆盖最大距离下标, 需要再走一步(即ans++),因为最后一步一定是可以到的终点。(题目假设总是可以到达数组的最后一个位置),如图:
-
-
-* 如果移动下标不等于当前覆盖最大距离下标,说明当前覆盖最远距离就可以直接达到终点了,不需要再走一步。如图:
-
-
-
-代码如下:
-
-```CPP
-// 版本二
-class Solution {
-public:
- int jump(vector& nums) {
- int curDistance = 0; // 当前覆盖的最远距离下标
- int ans = 0; // 记录走的最大步数
- int nextDistance = 0; // 下一步覆盖的最远距离下标
- for (int i = 0; i < nums.size() - 1; i++) { // 注意这里是小于nums.size() - 1,这是关键所在
- nextDistance = max(nums[i] + i, nextDistance); // 更新下一步覆盖的最远距离下标
- if (i == curDistance) { // 遇到当前覆盖的最远距离下标
- curDistance = nextDistance; // 更新当前覆盖的最远距离下标
- ans++;
- }
- }
- return ans;
- }
-};
-```
-
-可以看出版本二的代码相对于版本一简化了不少!
-
-其精髓在于控制移动下标i只移动到nums.size() - 2的位置,所以移动下标只要遇到当前覆盖最远距离的下标,直接步数加一,不用考虑别的了。
-
-## 总结
-
-相信大家可以发现,这道题目相当于[55.跳跃游戏](https://programmercarl.com/0055.跳跃游戏.html)难了不止一点。
-
-但代码又十分简单,贪心就是这么巧妙。
-
-理解本题的关键在于:**以最小的步数增加最大的覆盖范围,直到覆盖范围覆盖了终点**,这个范围内最小步数一定可以跳到,不用管具体是怎么跳的,不纠结于一步究竟跳一个单位还是两个单位。
-
-
-## 其他语言版本
-
-
-### Java
-```Java
-// 版本一
-class Solution {
- public int jump(int[] nums) {
- if (nums == null || nums.length == 0 || nums.length == 1) {
- return 0;
- }
- //记录跳跃的次数
- int count=0;
- //当前的覆盖最大区域
- int curDistance = 0;
- //最大的覆盖区域
- int maxDistance = 0;
- for (int i = 0; i < nums.length; i++) {
- //在可覆盖区域内更新最大的覆盖区域
- maxDistance = Math.max(maxDistance,i+nums[i]);
- //说明当前一步,再跳一步就到达了末尾
- if (maxDistance>=nums.length-1){
- count++;
- break;
- }
- //走到当前覆盖的最大区域时,更新下一步可达的最大区域
- if (i==curDistance){
- curDistance = maxDistance;
- count++;
- }
- }
- return count;
- }
-}
-```
-
-```java
-// 版本二
-class Solution {
- public int jump(int[] nums) {
- int result = 0;
- // 当前覆盖的最远距离下标
- int end = 0;
- // 下一步覆盖的最远距离下标
- int temp = 0;
- for (int i = 0; i <= end && end < nums.length - 1; ++i) {
- temp = Math.max(temp, i + nums[i]);
- // 可达位置的改变次数就是跳跃次数
- if (i == end) {
- end = temp;
- result++;
- }
- }
- return result;
- }
-}
-```
-
-### Python
-
-```python
-class Solution:
- def jump(self, nums: List[int]) -> int:
- if len(nums) == 1: return 0
- ans = 0
- curDistance = 0
- nextDistance = 0
- for i in range(len(nums)):
- nextDistance = max(i + nums[i], nextDistance)
- if i == curDistance:
- if curDistance != len(nums) - 1:
- ans += 1
- curDistance = nextDistance
- if nextDistance >= len(nums) - 1: break
- return ans
-```
-
-### Go
-```Go
-func jump(nums []int) int {
- dp := make([]int, len(nums))
- dp[0] = 0//初始第一格跳跃数一定为0
-
- for i := 1; i < len(nums); i++ {
- dp[i] = i
- for j := 0; j < i; j++ {
- if nums[j] + j >= i {//nums[j]为起点,j为往右跳的覆盖范围,这行表示从j能跳到i
- dp[i] = min(dp[j] + 1, dp[i])//更新最小能到i的跳跃次数
- }
- }
- }
- return dp[len(nums)-1]
-}
-
-func min(a, b int) int {
- if a < b {
- return a
- } else {
- return b
- }
-}
-```
-
-### Javascript
-```Javascript
-var jump = function(nums) {
- let curIndex = 0
- let nextIndex = 0
- let steps = 0
- for(let i = 0; i < nums.length - 1; i++) {
- nextIndex = Math.max(nums[i] + i, nextIndex)
- if(i === curIndex) {
- curIndex = nextIndex
- steps++
- }
- }
-
- return steps
-};
-```
-
-### TypeScript
-
-```typescript
-function jump(nums: number[]): number {
- const length: number = nums.length;
- let curFarthestIndex: number = 0,
- nextFarthestIndex: number = 0;
- let curIndex: number = 0;
- let stepNum: number = 0;
- while (curIndex < length - 1) {
- nextFarthestIndex = Math.max(nextFarthestIndex, curIndex + nums[curIndex]);
- if (curIndex === curFarthestIndex) {
- curFarthestIndex = nextFarthestIndex;
- stepNum++;
- }
- curIndex++;
- }
- return stepNum;
-};
-```
-
-
-
-
-
------------------------
-
diff --git a/problems/0045.跳跃游戏II.md b/problems/0045.跳跃游戏II.md
index 4caff042..4e3ab24a 100644
--- a/problems/0045.跳跃游戏II.md
+++ b/problems/0045.跳跃游戏II.md
@@ -217,18 +217,26 @@ class Solution:
### Go
```Go
func jump(nums []int) int {
- dp:=make([]int ,len(nums))
- dp[0]=0
+ dp := make([]int, len(nums))
+ dp[0] = 0//初始第一格跳跃数一定为0
- for i:=1;ii{
- dp[i]=min(dp[j]+1,dp[i])
- }
- }
- }
- return dp[len(nums)-1]
+ for i := 1; i < len(nums); i++ {
+ dp[i] = i
+ for j := 0; j < i; j++ {
+ if nums[j] + j >= i {//nums[j]为起点,j为往右跳的覆盖范围,这行表示从j能跳到i
+ dp[i] = min(dp[j] + 1, dp[i])//更新最小能到i的跳跃次数
+ }
+ }
+ }
+ return dp[len(nums)-1]
+}
+
+func min(a, b int) int {
+ if a < b {
+ return a
+ } else {
+ return b
+ }
}
```
From d692ffe034aa1d7af9a4e5d76999ee6a506c23b9 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Tue, 3 May 2022 21:51:21 +0800
Subject: [PATCH 21/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880416.=E5=88=86?=
=?UTF-8?q?=E5=89=B2=E7=AD=89=E5=92=8C=E5=AD=90=E9=9B=86.md=EF=BC=89?=
=?UTF-8?q?=EF=BC=9A=E5=A2=9E=E5=8A=A0typescript?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0416.分割等和子集.md | 55 +++++++++++++++++++++++++++++
1 file changed, 55 insertions(+)
diff --git a/problems/0416.分割等和子集.md b/problems/0416.分割等和子集.md
index b24fb365..20b7782d 100644
--- a/problems/0416.分割等和子集.md
+++ b/problems/0416.分割等和子集.md
@@ -416,6 +416,61 @@ var canPartition = function(nums) {
};
```
+TypeScript:
+
+> 一维数组,简洁
+
+```typescript
+function canPartition(nums: number[]): boolean {
+ const sum: number = nums.reduce((pre, cur) => pre + cur);
+ if (sum % 2 === 1) return false;
+ const bagSize: number = sum / 2;
+ const goodsNum: number = nums.length;
+ const dp: number[] = new Array(bagSize + 1).fill(0);
+ for (let i = 0; i < goodsNum; i++) {
+ for (let j = bagSize; j >= nums[i]; j--) {
+ dp[j] = Math.max(dp[j], dp[j - nums[i]] + nums[i]);
+ }
+ }
+ return dp[bagSize] === bagSize;
+};
+```
+
+> 二维数组,易懂
+
+```typescript
+function canPartition(nums: number[]): boolean {
+ /**
+ weightArr = nums;
+ valueArr = nums;
+ bagSize = sum / 2; (sum为nums各元素总和);
+ 按照0-1背包处理
+ */
+ const sum: number = nums.reduce((pre, cur) => pre + cur);
+ if (sum % 2 === 1) return false;
+ const bagSize: number = sum / 2;
+ const weightArr: number[] = nums;
+ const valueArr: number[] = nums;
+ const goodsNum: number = weightArr.length;
+ const dp: number[][] = new Array(goodsNum)
+ .fill(0)
+ .map(_ => new Array(bagSize + 1).fill(0));
+ for (let i = weightArr[0]; i <= bagSize; i++) {
+ dp[0][i] = valueArr[0];
+ }
+ for (let i = 1; i < goodsNum; i++) {
+ for (let j = 0; j <= bagSize; j++) {
+ if (j < weightArr[i]) {
+ dp[i][j] = dp[i - 1][j];
+ } else {
+ dp[i][j] = Math.max(dp[i - 1][j], dp[i - 1][j - weightArr[i]] + valueArr[i]);
+ }
+ }
+ }
+ return dp[goodsNum - 1][bagSize] === bagSize;
+};
+```
+
From 65cde78559bf18cced2e91b57fba8f92a66437a4 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Wed, 4 May 2022 12:57:05 +0800
Subject: [PATCH 22/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=881049.=E6=9C=80?=
=?UTF-8?q?=E5=90=8E=E4=B8=80=E5=9D=97=E7=9F=B3=E5=A4=B4=E7=9A=84=E9=87=8D?=
=?UTF-8?q?=E9=87=8FII.md=EF=BC=89=EF=BC=9A=E5=A2=9E=E5=8A=A0typescript?=
=?UTF-8?q?=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
.../1049.最后一块石头的重量II.md | 21 +++++++++++++++++++
1 file changed, 21 insertions(+)
diff --git a/problems/1049.最后一块石头的重量II.md b/problems/1049.最后一块石头的重量II.md
index ee0ddef2..3d256c3d 100644
--- a/problems/1049.最后一块石头的重量II.md
+++ b/problems/1049.最后一块石头的重量II.md
@@ -277,5 +277,26 @@ var lastStoneWeightII = function (stones) {
};
```
+TypeScript:
+
+```typescript
+function lastStoneWeightII(stones: number[]): number {
+ const sum: number = stones.reduce((pre, cur) => pre + cur);
+ const bagSize: number = Math.floor(sum / 2);
+ const weightArr: number[] = stones;
+ const valueArr: number[] = stones;
+ const goodsNum: number = weightArr.length;
+ const dp: number[] = new Array(bagSize + 1).fill(0);
+ for (let i = 0; i < goodsNum; i++) {
+ for (let j = bagSize; j >= weightArr[i]; j--) {
+ dp[j] = Math.max(dp[j], dp[j - weightArr[i]] + valueArr[i]);
+ }
+ }
+ return sum - dp[bagSize] * 2;
+};
+```
+
+
+
-----------------------
From b9b7c1530abf7a4b6b68b0f732b5a69cbaae772c Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Wed, 4 May 2022 23:48:12 +0800
Subject: [PATCH 23/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880494.=E7=9B=AE?=
=?UTF-8?q?=E6=A0=87=E5=92=8C.md=EF=BC=89=EF=BC=9A=E5=A2=9E=E5=8A=A0typesc?=
=?UTF-8?q?ript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0494.目标和.md | 19 +++++++++++++++++++
1 file changed, 19 insertions(+)
diff --git a/problems/0494.目标和.md b/problems/0494.目标和.md
index 99b76834..8ce1f6f1 100644
--- a/problems/0494.目标和.md
+++ b/problems/0494.目标和.md
@@ -351,6 +351,25 @@ const findTargetSumWays = (nums, target) => {
};
```
+TypeScript:
+
+```typescript
+function findTargetSumWays(nums: number[], target: number): number {
+ const sum: number = nums.reduce((pre, cur) => pre + cur);
+ if (Math.abs(target) > sum) return 0;
+ if ((target + sum) % 2 === 1) return 0;
+ const bagSize: number = (target + sum) / 2;
+ const dp: number[] = new Array(bagSize + 1).fill(0);
+ dp[0] = 1;
+ for (let i = 0; i < nums.length; i++) {
+ for (let j = bagSize; j >= nums[i]; j--) {
+ dp[j] += dp[j - nums[i]];
+ }
+ }
+ return dp[bagSize];
+};
+```
+
-----------------------
From 3c88974f92926f9280d71ea964bdb36b6f097044 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Thu, 5 May 2022 14:15:00 +0800
Subject: [PATCH 24/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880474.=E4=B8=80?=
=?UTF-8?q?=E5=92=8C=E9=9B=B6.md=EF=BC=89=EF=BC=9A=E5=A2=9E=E5=8A=A0typesc?=
=?UTF-8?q?ript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0474.一和零.md | 123 +++++++++++++++++++++++++++++++++++++
1 file changed, 123 insertions(+)
diff --git a/problems/0474.一和零.md b/problems/0474.一和零.md
index 964df4a8..d38ce03f 100644
--- a/problems/0474.一和零.md
+++ b/problems/0474.一和零.md
@@ -323,6 +323,129 @@ const findMaxForm = (strs, m, n) => {
};
```
+TypeScript:
+
+> 滚动数组,二维数组法
+
+```typescript
+type BinaryInfo = { numOfZero: number, numOfOne: number };
+function findMaxForm(strs: string[], m: number, n: number): number {
+ const goodsNum: number = strs.length;
+ const dp: number[][] = new Array(m + 1).fill(0)
+ .map(_ => new Array(n + 1).fill(0));
+ for (let i = 0; i < goodsNum; i++) {
+ const { numOfZero, numOfOne } = countBinary(strs[i]);
+ for (let j = m; j >= numOfZero; j--) {
+ for (let k = n; k >= numOfOne; k--) {
+ dp[j][k] = Math.max(dp[j][k], dp[j - numOfZero][k - numOfOne] + 1);
+ }
+ }
+ }
+ return dp[m][n];
+};
+function countBinary(str: string): BinaryInfo {
+ let numOfZero: number = 0,
+ numOfOne: number = 0;
+ for (let s of str) {
+ if (s === '0') {
+ numOfZero++;
+ } else {
+ numOfOne++;
+ }
+ }
+ return { numOfZero, numOfOne };
+}
+```
+
+> 传统背包,三维数组法
+
+```typescript
+type BinaryInfo = { numOfZero: number, numOfOne: number };
+function findMaxForm(strs: string[], m: number, n: number): number {
+ /**
+ dp[i][j][k]: 前i个物品中, 背包的0容量为j, 1容量为k, 最多能放的物品数量
+ */
+ const goodsNum: number = strs.length;
+ const dp: number[][][] = new Array(goodsNum).fill(0)
+ .map(_ => new Array(m + 1)
+ .fill(0)
+ .map(_ => new Array(n + 1).fill(0))
+ );
+ const { numOfZero, numOfOne } = countBinary(strs[0]);
+ for (let i = numOfZero; i <= m; i++) {
+ for (let j = numOfOne; j <= n; j++) {
+ dp[0][i][j] = 1;
+ }
+ }
+ for (let i = 1; i < goodsNum; i++) {
+ const { numOfZero, numOfOne } = countBinary(strs[i]);
+ for (let j = 0; j <= m; j++) {
+ for (let k = 0; k <= n; k++) {
+ if (j < numOfZero || k < numOfOne) {
+ dp[i][j][k] = dp[i - 1][j][k];
+ } else {
+ dp[i][j][k] = Math.max(dp[i - 1][j][k], dp[i - 1][j - numOfZero][k - numOfOne] + 1);
+ }
+ }
+ }
+ }
+ return dp[dp.length - 1][m][n];
+};
+function countBinary(str: string): BinaryInfo {
+ let numOfZero: number = 0,
+ numOfOne: number = 0;
+ for (let s of str) {
+ if (s === '0') {
+ numOfZero++;
+ } else {
+ numOfOne++;
+ }
+ }
+ return { numOfZero, numOfOne };
+}
+```
+
+> 回溯法(会超时)
+
+```typescript
+function findMaxForm(strs: string[], m: number, n: number): number {
+ /**
+ 思路:暴力枚举strs的所有子集,记录符合条件子集的最大长度
+ */
+ let resMax: number = 0;
+ backTrack(strs, m, n, 0, []);
+ return resMax;
+ function backTrack(
+ strs: string[], m: number, n: number,
+ startIndex: number, route: string[]
+ ): void {
+ if (startIndex === strs.length) return;
+ for (let i = startIndex, length = strs.length; i < length; i++) {
+ route.push(strs[i]);
+ if (isValidSubSet(route, m, n)) {
+ resMax = Math.max(resMax, route.length);
+ backTrack(strs, m, n, i + 1, route);
+ }
+ route.pop();
+ }
+ }
+};
+function isValidSubSet(strs: string[], m: number, n: number): boolean {
+ let zeroNum: number = 0,
+ oneNum: number = 0;
+ strs.forEach(str => {
+ for (let s of str) {
+ if (s === '0') {
+ zeroNum++;
+ } else {
+ oneNum++;
+ }
+ }
+ });
+ return zeroNum <= m && oneNum <= n;
+}
+```
+
-----------------------
From 1e9cecb665acd511660a9c8c8af48868e20bb871 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Thu, 5 May 2022 16:53:38 +0800
Subject: [PATCH 25/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=88=E8=83=8C?=
=?UTF-8?q?=E5=8C=85=E9=97=AE=E9=A2=98=E7=90=86=E8=AE=BA=E5=9F=BA=E7=A1=80?=
=?UTF-8?q?=E5=AE=8C=E5=85=A8=E8=83=8C=E5=8C=85.md=EF=BC=89=EF=BC=9A?=
=?UTF-8?q?=E5=A2=9E=E5=8A=A0typescript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
.../背包问题理论基础完全背包.md | 21 +++++++++++++++++++
1 file changed, 21 insertions(+)
diff --git a/problems/背包问题理论基础完全背包.md b/problems/背包问题理论基础完全背包.md
index faa1dc46..936a80c7 100644
--- a/problems/背包问题理论基础完全背包.md
+++ b/problems/背包问题理论基础完全背包.md
@@ -340,6 +340,27 @@ function test_completePack2() {
}
```
+TypeScript:
+
+```typescript
+// 先遍历物品,再遍历背包容量
+function test_CompletePack(): void {
+ const weight: number[] = [1, 3, 4];
+ const value: number[] = [15, 20, 30];
+ const bagSize: number = 4;
+ const dp: number[] = new Array(bagSize + 1).fill(0);
+ for (let i = 0; i < weight.length; i++) {
+ for (let j = weight[i]; j <= bagSize; j++) {
+ dp[j] = Math.max(dp[j], dp[j - weight[i]] + value[i]);
+ }
+ }
+ console.log(dp);
+}
+test_CompletePack();
+```
+
+
+
-----------------------
From b82984e24b23940aa95da2a0283ae4cf3c706f7a Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Thu, 5 May 2022 18:11:41 +0800
Subject: [PATCH 26/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880518.=E9=9B=B6?=
=?UTF-8?q?=E9=92=B1=E5=85=91=E6=8D=A2II.md=EF=BC=89=EF=BC=9A=E5=A2=9E?=
=?UTF-8?q?=E5=8A=A0typescript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0518.零钱兑换II.md | 15 +++++++++++++++
1 file changed, 15 insertions(+)
diff --git a/problems/0518.零钱兑换II.md b/problems/0518.零钱兑换II.md
index e72c5f85..8faf6698 100644
--- a/problems/0518.零钱兑换II.md
+++ b/problems/0518.零钱兑换II.md
@@ -258,6 +258,21 @@ const change = (amount, coins) => {
}
```
+TypeScript:
+
+```typescript
+function change(amount: number, coins: number[]): number {
+ const dp: number[] = new Array(amount + 1).fill(0);
+ dp[0] = 1;
+ for (let i = 0, length = coins.length; i < length; i++) {
+ for (let j = coins[i]; j <= amount; j++) {
+ dp[j] += dp[j - coins[i]];
+ }
+ }
+ return dp[amount];
+};
+```
+
-----------------------
From cb7bf67a4e3a277ecf53ce37d0556c8e2e65f9f3 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Fri, 6 May 2022 11:08:47 +0800
Subject: [PATCH 27/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880377.=E7=BB=84?=
=?UTF-8?q?=E5=90=88=E6=80=BB=E5=92=8C=E2=85=A3.md=EF=BC=89=EF=BC=9A?=
=?UTF-8?q?=E5=A2=9E=E5=8A=A0typescript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0377.组合总和Ⅳ.md | 20 ++++++++++++++++++++
1 file changed, 20 insertions(+)
diff --git a/problems/0377.组合总和Ⅳ.md b/problems/0377.组合总和Ⅳ.md
index aaf27e61..1d808a3a 100644
--- a/problems/0377.组合总和Ⅳ.md
+++ b/problems/0377.组合总和Ⅳ.md
@@ -221,7 +221,27 @@ const combinationSum4 = (nums, target) => {
};
```
+TypeScript:
+
+```typescript
+function combinationSum4(nums: number[], target: number): number {
+ const dp: number[] = new Array(target + 1).fill(0);
+ dp[0] = 1;
+ // 遍历背包
+ for (let i = 1; i <= target; i++) {
+ // 遍历物品
+ for (let j = 0, length = nums.length; j < length; j++) {
+ if (i >= nums[j]) {
+ dp[i] += dp[i - nums[j]];
+ }
+ }
+ }
+ return dp[target];
+};
+```
+
Rust
+
```Rust
impl Solution {
pub fn combination_sum4(nums: Vec, target: i32) -> i32 {
From 100a4e2b46abf913dacc62637da7faf27bfe060e Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Fri, 6 May 2022 11:56:19 +0800
Subject: [PATCH 28/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880070.=E7=88=AC?=
=?UTF-8?q?=E6=A5=BC=E6=A2=AF=E5=AE=8C=E5=85=A8=E8=83=8C=E5=8C=85=E7=89=88?=
=?UTF-8?q?=E6=9C=AC.md=EF=BC=89=EF=BC=9A=E5=A2=9E=E5=8A=A0typescript?=
=?UTF-8?q?=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0070.爬楼梯完全背包版本.md | 22 ++++++++++++++++++++
1 file changed, 22 insertions(+)
diff --git a/problems/0070.爬楼梯完全背包版本.md b/problems/0070.爬楼梯完全背包版本.md
index 2286de2d..0f482bb7 100644
--- a/problems/0070.爬楼梯完全背包版本.md
+++ b/problems/0070.爬楼梯完全背包版本.md
@@ -199,6 +199,28 @@ var climbStairs = function(n) {
};
```
+TypeScript:
+
+```typescript
+function climbStairs(n: number): number {
+ const m: number = 2; // 本题m为2
+ const dp: number[] = new Array(n + 1).fill(0);
+ dp[0] = 1;
+ // 遍历背包
+ for (let i = 1; i <= n; i++) {
+ // 遍历物品
+ for (let j = 1; j <= m; j++) {
+ if (j <= i) {
+ dp[i] += dp[i - j];
+ }
+ }
+ }
+ return dp[n];
+};
+```
+
+
+
-----------------------
From cb6f015186ae9d6af13cddf9b929f7bbdfe9bc29 Mon Sep 17 00:00:00 2001
From: cy948 <67412196+cy948@users.noreply.github.com>
Date: Fri, 6 May 2022 14:43:58 +0800
Subject: [PATCH 29/43] =?UTF-8?q?Update=200112.=E8=B7=AF=E5=BE=84=E6=80=BB?=
=?UTF-8?q?=E5=92=8C.md?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
修复了 0113.路径总和-ii 中Java递归解法中的类名大小写问题。
---
problems/0112.路径总和.md | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/problems/0112.路径总和.md b/problems/0112.路径总和.md
index 41463ec1..2fdd7741 100644
--- a/problems/0112.路径总和.md
+++ b/problems/0112.路径总和.md
@@ -377,22 +377,22 @@ class solution {
```java
class solution {
- public list> pathsum(treenode root, int targetsum) {
- list> res = new arraylist<>();
+ public List> pathsum(TreeNode root, int targetsum) {
+ List> res = new ArrayList<>();
if (root == null) return res; // 非空判断
-
- list path = new linkedlist<>();
+
+ List path = new LinkedList<>();
preorderdfs(root, targetsum, res, path);
return res;
}
- public void preorderdfs(treenode root, int targetsum, list> res, list path) {
+ public void preorderdfs(TreeNode root, int targetsum, List> res, List path) {
path.add(root.val);
// 遇到了叶子节点
if (root.left == null && root.right == null) {
// 找到了和为 targetsum 的路径
if (targetsum - root.val == 0) {
- res.add(new arraylist<>(path));
+ res.add(new ArrayList<>(path));
}
return; // 如果和不为 targetsum,返回
}
From 82a58bc20249bb248dbbb0d90771db0ea60bf017 Mon Sep 17 00:00:00 2001
From: Jamcy123 <1219502823@qq.com>
Date: Fri, 6 May 2022 15:49:43 +0800
Subject: [PATCH 30/43] =?UTF-8?q?1005.K=E6=AC=A1=E5=8F=96=E5=8F=8D?=
=?UTF-8?q?=E5=90=8E=E6=9C=80=E5=A4=A7=E5=8C=96=E7=9A=84=E6=95=B0=E7=BB=84?=
=?UTF-8?q?=E5=92=8C?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
.../1005.K次取反后最大化的数组和.md | 16 ++++++++++++++++
1 file changed, 16 insertions(+)
diff --git a/problems/1005.K次取反后最大化的数组和.md b/problems/1005.K次取反后最大化的数组和.md
index 79767deb..202534da 100644
--- a/problems/1005.K次取反后最大化的数组和.md
+++ b/problems/1005.K次取反后最大化的数组和.md
@@ -209,6 +209,22 @@ var largestSumAfterKNegations = function(nums, k) {
return a + b
})
};
+
+// 版本二 (优化: 一次遍历)
+var largestSumAfterKNegations = function(nums, k) {
+ nums.sort((a, b) => Math.abs(b) - Math.abs(a)); // 排序
+ let sum = 0;
+ for(let i = 0; i < nums.length; i++) {
+ if(nums[i] < 0 && k-- > 0) { // 负数取反(k 数量足够时)
+ nums[i] = -nums[i];
+ }
+ sum += nums[i]; // 求和
+ }
+ if(k % 2 > 0) { // k 有多余的(k若消耗完则应为 -1)
+ sum -= 2 * nums[nums.length - 1]; // 减去两倍的最小值(因为之前加过一次)
+ }
+ return sum;
+};
```
From 08ae851e75f735f45f033a0c5455aef198d3cc92 Mon Sep 17 00:00:00 2001
From: wang <472146630@qq.com>
Date: Fri, 6 May 2022 20:45:29 +0800
Subject: [PATCH 31/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A01035.=E4=B8=8D=E7=9B=B8?=
=?UTF-8?q?=E4=BA=A4=E7=9A=84=E7=BA=BF=E5=92=8C1143.=E6=9C=80=E9=95=BF?=
=?UTF-8?q?=E5=85=AC=E5=85=B1=E5=AD=90=E5=BA=8F=E5=88=97?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/1035.不相交的线.md | 20 ++++++-
problems/1143.最长公共子序列.md | 80 ++++++++++++++++----------
2 files changed, 70 insertions(+), 30 deletions(-)
diff --git a/problems/1035.不相交的线.md b/problems/1035.不相交的线.md
index 0602e111..279ed816 100644
--- a/problems/1035.不相交的线.md
+++ b/problems/1035.不相交的线.md
@@ -111,7 +111,6 @@ class Solution:
Golang:
```go
-
func maxUncrossedLines(A []int, B []int) int {
m, n := len(A), len(B)
dp := make([][]int, m+1)
@@ -140,7 +139,26 @@ func max(a, b int) int {
}
```
+Rust:
+```rust
+pub fn max_uncrossed_lines(nums1: Vec, nums2: Vec) -> i32 {
+ let (n, m) = (nums1.len(), nums2.len());
+ let mut last = vec![0; m + 1]; // 记录滚动数组
+ let mut dp = vec![0; m + 1];
+ for i in 1..=n {
+ dp.swap_with_slice(&mut last);
+ for j in 1..=m {
+ if nums1[i - 1] == nums2[j - 1] {
+ dp[j] = last[j - 1] + 1;
+ } else {
+ dp[j] = last[j].max(dp[j - 1]);
+ }
+ }
+ }
+ dp[m]
+}
+```
JavaScript:
diff --git a/problems/1143.最长公共子序列.md b/problems/1143.最长公共子序列.md
index fdcc7619..ecedf89b 100644
--- a/problems/1143.最长公共子序列.md
+++ b/problems/1143.最长公共子序列.md
@@ -4,40 +4,40 @@
参与本项目,贡献其他语言版本的代码,拥抱开源,让更多学习算法的小伙伴们收益!
-## 1143.最长公共子序列
+## 1143.最长公共子序列
[力扣题目链接](https://leetcode-cn.com/problems/longest-common-subsequence/)
-给定两个字符串 text1 和 text2,返回这两个字符串的最长公共子序列的长度。
+给定两个字符串 text1 和 text2,返回这两个字符串的最长公共子序列的长度。
-一个字符串的 子序列 是指这样一个新的字符串:它是由原字符串在不改变字符的相对顺序的情况下删除某些字符(也可以不删除任何字符)后组成的新字符串。
+一个字符串的 子序列 是指这样一个新的字符串:它是由原字符串在不改变字符的相对顺序的情况下删除某些字符(也可以不删除任何字符)后组成的新字符串。
-例如,"ace" 是 "abcde" 的子序列,但 "aec" 不是 "abcde" 的子序列。两个字符串的「公共子序列」是这两个字符串所共同拥有的子序列。
+例如,"ace" 是 "abcde" 的子序列,但 "aec" 不是 "abcde" 的子序列。两个字符串的「公共子序列」是这两个字符串所共同拥有的子序列。
-若这两个字符串没有公共子序列,则返回 0。
+若这两个字符串没有公共子序列,则返回 0。
-示例 1:
+示例 1:
-输入:text1 = "abcde", text2 = "ace"
-输出:3
-解释:最长公共子序列是 "ace",它的长度为 3。
+输入:text1 = "abcde", text2 = "ace"
+输出:3
+解释:最长公共子序列是 "ace",它的长度为 3。
-示例 2:
-输入:text1 = "abc", text2 = "abc"
-输出:3
-解释:最长公共子序列是 "abc",它的长度为 3。
+示例 2:
+输入:text1 = "abc", text2 = "abc"
+输出:3
+解释:最长公共子序列是 "abc",它的长度为 3。
-示例 3:
-输入:text1 = "abc", text2 = "def"
-输出:0
-解释:两个字符串没有公共子序列,返回 0。
+示例 3:
+输入:text1 = "abc", text2 = "def"
+输出:0
+解释:两个字符串没有公共子序列,返回 0。
-提示:
+提示:
* 1 <= text1.length <= 1000
* 1 <= text2.length <= 1000
输入的字符串只含有小写英文字符。
-## 思路
+## 思路
本题和[动态规划:718. 最长重复子数组](https://programmercarl.com/0718.最长重复子数组.html)区别在于这里不要求是连续的了,但要有相对顺序,即:"ace" 是 "abcde" 的子序列,但 "aec" 不是 "abcde" 的子序列。
@@ -45,21 +45,21 @@
1. 确定dp数组(dp table)以及下标的含义
-dp[i][j]:长度为[0, i - 1]的字符串text1与长度为[0, j - 1]的字符串text2的最长公共子序列为dp[i][j]
+dp[i][j]:长度为[0, i - 1]的字符串text1与长度为[0, j - 1]的字符串text2的最长公共子序列为dp[i][j]
-有同学会问:为什么要定义长度为[0, i - 1]的字符串text1,定义为长度为[0, i]的字符串text1不香么?
+有同学会问:为什么要定义长度为[0, i - 1]的字符串text1,定义为长度为[0, i]的字符串text1不香么?
这样定义是为了后面代码实现方便,如果非要定义为为长度为[0, i]的字符串text1也可以,大家可以试一试!
2. 确定递推公式
-主要就是两大情况: text1[i - 1] 与 text2[j - 1]相同,text1[i - 1] 与 text2[j - 1]不相同
+主要就是两大情况: text1[i - 1] 与 text2[j - 1]相同,text1[i - 1] 与 text2[j - 1]不相同
-如果text1[i - 1] 与 text2[j - 1]相同,那么找到了一个公共元素,所以dp[i][j] = dp[i - 1][j - 1] + 1;
+如果text1[i - 1] 与 text2[j - 1]相同,那么找到了一个公共元素,所以dp[i][j] = dp[i - 1][j - 1] + 1;
如果text1[i - 1] 与 text2[j - 1]不相同,那就看看text1[0, i - 2]与text2[0, j - 1]的最长公共子序列 和 text1[0, i - 1]与text2[0, j - 2]的最长公共子序列,取最大的。
-即:dp[i][j] = max(dp[i - 1][j], dp[i][j - 1]);
+即:dp[i][j] = max(dp[i - 1][j], dp[i][j - 1]);
代码如下:
@@ -71,9 +71,9 @@ if (text1[i - 1] == text2[j - 1]) {
}
```
-3. dp数组如何初始化
+3. dp数组如何初始化
-先看看dp[i][0]应该是多少呢?
+先看看dp[i][0]应该是多少呢?
test1[0, i-1]和空串的最长公共子序列自然是0,所以dp[i][0] = 0;
@@ -101,7 +101,7 @@ vector> dp(text1.size() + 1, vector(text2.size() + 1, 0));

-最后红框dp[text1.size()][text2.size()]为最终结果
+最后红框dp[text1.size()][text2.size()]为最终结果
以上分析完毕,C++代码如下:
@@ -158,7 +158,7 @@ class Solution:
for i in range(1, len2):
for j in range(1, len1): # 开始列出状态转移方程
if text1[j-1] == text2[i-1]:
- dp[i][j] = dp[i-1][j-1]+1
+ dp[i][j] = dp[i-1][j-1]+1
else:
dp[i][j] = max(dp[i-1][j], dp[i][j-1])
return dp[-1][-1]
@@ -189,10 +189,32 @@ func longestCommonSubsequence(text1 string, text2 string) int {
func max(a,b int)int {
if a>b{
- return a
+ return a
}
return b
}
+
+```
+
+Rust:
+```rust
+pub fn longest_common_subsequence(text1: String, text2: String) -> i32 {
+ let (n, m) = (text1.len(), text2.len());
+ let (s1, s2) = (text1.as_bytes(), text2.as_bytes());
+ let mut dp = vec![0; m + 1];
+ let mut last = vec![0; m + 1];
+ for i in 1..=n {
+ dp.swap_with_slice(&mut last);
+ for j in 1..=m {
+ dp[j] = if s1[i - 1] == s2[j - 1] {
+ last[j - 1] + 1
+ } else {
+ last[j].max(dp[j - 1])
+ };
+ }
+ }
+ dp[m]
+}
```
Javascript:
From da464016574f14c43fe1e9f7c0d808ed7ea304fb Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Sun, 8 May 2022 10:29:33 +0800
Subject: [PATCH 32/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880322.=E9=9B=B6?=
=?UTF-8?q?=E9=92=B1=E5=85=91=E6=8D=A2.md=EF=BC=89=EF=BC=9A=E5=A2=9E?=
=?UTF-8?q?=E5=8A=A0typescript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0322.零钱兑换.md | 14 ++++++++++++++
1 file changed, 14 insertions(+)
diff --git a/problems/0322.零钱兑换.md b/problems/0322.零钱兑换.md
index 3a8d0662..1df8d613 100644
--- a/problems/0322.零钱兑换.md
+++ b/problems/0322.零钱兑换.md
@@ -322,7 +322,21 @@ const coinChange = (coins, amount) => {
}
```
+TypeScript:
+```typescript
+function coinChange(coins: number[], amount: number): number {
+ const dp: number[] = new Array(amount + 1).fill(Infinity);
+ dp[0] = 0;
+ for (let i = 0; i < coins.length; i++) {
+ for (let j = coins[i]; j <= amount; j++) {
+ if (dp[j - coins[i]] === Infinity) continue;
+ dp[j] = Math.min(dp[j], dp[j - coins[i]] + 1);
+ }
+ }
+ return dp[amount] === Infinity ? -1 : dp[amount];
+};
+```
-----------------------
From 2722fe7b5eceec7d746f94a63683430205839469 Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Sun, 8 May 2022 11:07:39 +0800
Subject: [PATCH 33/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880279.=E5=AE=8C?=
=?UTF-8?q?=E5=85=A8=E5=B9=B3=E6=96=B9=E6=95=B0.md=EF=BC=89=EF=BC=9A?=
=?UTF-8?q?=E5=A2=9E=E5=8A=A0typescript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0279.完全平方数.md | 19 +++++++++++++++++++
1 file changed, 19 insertions(+)
diff --git a/problems/0279.完全平方数.md b/problems/0279.完全平方数.md
index 9bad2085..5b15639c 100644
--- a/problems/0279.完全平方数.md
+++ b/problems/0279.完全平方数.md
@@ -355,5 +355,24 @@ var numSquares2 = function(n) {
};
```
+TypeScript:
+
+```typescript
+function numSquares(n: number): number {
+ const goodsNum: number = Math.floor(Math.sqrt(n));
+ const dp: number[] = new Array(n + 1).fill(Infinity);
+ dp[0] = 0;
+ for (let i = 1; i <= goodsNum; i++) {
+ const tempVal: number = i * i;
+ for (let j = tempVal; j <= n; j++) {
+ dp[j] = Math.min(dp[j], dp[j - tempVal] + 1);
+ }
+ }
+ return dp[n];
+};
+```
+
+
+
-----------------------
From 9b6a447674f3290541e46088962e1e3aa764d827 Mon Sep 17 00:00:00 2001
From: Hayden-Chang <62008508+Hayden-Chang@users.noreply.github.com>
Date: Sun, 8 May 2022 14:20:09 +0800
Subject: [PATCH 34/43] explain the reason for reverse traversal
---
problems/背包理论基础01背包-2.md | 1 +
1 file changed, 1 insertion(+)
diff --git a/problems/背包理论基础01背包-2.md b/problems/背包理论基础01背包-2.md
index dabdfb2d..ea7c53ad 100644
--- a/problems/背包理论基础01背包-2.md
+++ b/problems/背包理论基础01背包-2.md
@@ -136,6 +136,7 @@ dp[1] = dp[1 - weight[0]] + value[0] = 15
不可以!
因为一维dp的写法,背包容量一定是要倒序遍历(原因上面已经讲了),如果遍历背包容量放在上一层,那么每个dp[j]就只会放入一个物品,即:背包里只放入了一个物品。
+倒叙遍历的原因是,本质上还是一个对二维数组的遍历,并且右下角的值依赖上一层左上角的值,因此需要保证左边的值仍然是上一层的,从右向左覆盖。
(这里如果读不懂,就在回想一下dp[j]的定义,或者就把两个for循环顺序颠倒一下试试!)
From 80167289e4895c4116b61a5c2a4fa22e9e2e88b5 Mon Sep 17 00:00:00 2001
From: Hayden-Chang <62008508+Hayden-Chang@users.noreply.github.com>
Date: Sun, 8 May 2022 14:24:09 +0800
Subject: [PATCH 35/43] =?UTF-8?q?Update=20=E8=83=8C=E5=8C=85=E7=90=86?=
=?UTF-8?q?=E8=AE=BA=E5=9F=BA=E7=A1=8001=E8=83=8C=E5=8C=85-2.md?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/背包理论基础01背包-2.md | 3 ++-
1 file changed, 2 insertions(+), 1 deletion(-)
diff --git a/problems/背包理论基础01背包-2.md b/problems/背包理论基础01背包-2.md
index ea7c53ad..eae01158 100644
--- a/problems/背包理论基础01背包-2.md
+++ b/problems/背包理论基础01背包-2.md
@@ -136,7 +136,8 @@ dp[1] = dp[1 - weight[0]] + value[0] = 15
不可以!
因为一维dp的写法,背包容量一定是要倒序遍历(原因上面已经讲了),如果遍历背包容量放在上一层,那么每个dp[j]就只会放入一个物品,即:背包里只放入了一个物品。
-倒叙遍历的原因是,本质上还是一个对二维数组的遍历,并且右下角的值依赖上一层左上角的值,因此需要保证左边的值仍然是上一层的,从右向左覆盖。
+
+倒序遍历的原因是,本质上还是一个对二维数组的遍历,并且右下角的值依赖上一层左上角的值,因此需要保证左边的值仍然是上一层的,从右向左覆盖。
(这里如果读不懂,就在回想一下dp[j]的定义,或者就把两个for循环顺序颠倒一下试试!)
From 2fb34b30b38ee73624d65d183955cef3a80caced Mon Sep 17 00:00:00 2001
From: Steve2020 <841532108@qq.com>
Date: Sun, 8 May 2022 18:28:32 +0800
Subject: [PATCH 36/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880139.=E5=8D=95?=
=?UTF-8?q?=E8=AF=8D=E6=8B=86=E5=88=86.md=EF=BC=89:=E5=A2=9E=E5=8A=A0types?=
=?UTF-8?q?cript=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0139.单词拆分.md | 42 +++++++++++++++++++++++++++++++++++
1 file changed, 42 insertions(+)
diff --git a/problems/0139.单词拆分.md b/problems/0139.单词拆分.md
index ac834f04..5b4e92b9 100644
--- a/problems/0139.单词拆分.md
+++ b/problems/0139.单词拆分.md
@@ -345,6 +345,48 @@ const wordBreak = (s, wordDict) => {
}
```
+TypeScript:
+
+> 动态规划
+
+```typescript
+function wordBreak(s: string, wordDict: string[]): boolean {
+ const dp: boolean[] = new Array(s.length + 1).fill(false);
+ dp[0] = true;
+ for (let i = 1; i <= s.length; i++) {
+ for (let j = 0; j < i; j++) {
+ const tempStr: string = s.slice(j, i);
+ if (wordDict.includes(tempStr) && dp[j] === true) {
+ dp[i] = true;
+ break;
+ }
+ }
+ }
+ return dp[s.length];
+};
+```
+
+> 记忆化回溯
+
+```typescript
+function wordBreak(s: string, wordDict: string[]): boolean {
+ // 只需要记忆结果为false的情况
+ const memory: boolean[] = [];
+ return backTracking(s, wordDict, 0, memory);
+ function backTracking(s: string, wordDict: string[], startIndex: number, memory: boolean[]): boolean {
+ if (startIndex >= s.length) return true;
+ if (memory[startIndex] === false) return false;
+ for (let i = startIndex + 1, length = s.length; i <= length; i++) {
+ const str: string = s.slice(startIndex, i);
+ if (wordDict.includes(str) && backTracking(s, wordDict, i, memory))
+ return true;
+ }
+ memory[startIndex] = false;
+ return false;
+ }
+};
+```
+
-----------------------
From 21475ad21864ce33fb5a6a113581f2c346be78b6 Mon Sep 17 00:00:00 2001
From: languagege
Date: Mon, 9 May 2022 18:51:39 +0800
Subject: [PATCH 37/43] =?UTF-8?q?=E4=BF=AE=E6=AD=A3=E4=BA=86=E5=85=B6?=
=?UTF-8?q?=E4=B8=AD=E4=B8=80=E4=B8=AA=E9=94=99=E5=88=AB=E5=AD=97?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0027.移除元素.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/problems/0027.移除元素.md b/problems/0027.移除元素.md
index 590cf0b9..3a93ac88 100644
--- a/problems/0027.移除元素.md
+++ b/problems/0027.移除元素.md
@@ -81,7 +81,7 @@ public:
**双指针法(快慢指针法)在数组和链表的操作中是非常常见的,很多考察数组、链表、字符串等操作的面试题,都使用双指针法。**
-后序都会一一介绍到,本题代码如下:
+后续都会一一介绍到,本题代码如下:
```CPP
// 时间复杂度:O(n)
From 75198263f91484020c4a4dde421d9ecd989422dd Mon Sep 17 00:00:00 2001
From: changjunkui <506678275@qq.com>
Date: Tue, 10 May 2022 08:16:53 +0800
Subject: [PATCH 38/43] =?UTF-8?q?Update=200019.=E5=88=A0=E9=99=A4=E9=93=BE?=
=?UTF-8?q?=E8=A1=A8=E7=9A=84=E5=80=92=E6=95=B0=E7=AC=ACN=E4=B8=AA?=
=?UTF-8?q?=E8=8A=82=E7=82=B9.md?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
方面改为方便
---
problems/0019.删除链表的倒数第N个节点.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/problems/0019.删除链表的倒数第N个节点.md b/problems/0019.删除链表的倒数第N个节点.md
index 813e9b02..b3030a81 100644
--- a/problems/0019.删除链表的倒数第N个节点.md
+++ b/problems/0019.删除链表的倒数第N个节点.md
@@ -39,7 +39,7 @@
分为如下几步:
-* 首先这里我推荐大家使用虚拟头结点,这样方面处理删除实际头结点的逻辑,如果虚拟头结点不清楚,可以看这篇: [链表:听说用虚拟头节点会方便很多?](https://programmercarl.com/0203.移除链表元素.html)
+* 首先这里我推荐大家使用虚拟头结点,这样方便处理删除实际头结点的逻辑,如果虚拟头结点不清楚,可以看这篇: [链表:听说用虚拟头节点会方便很多?](https://programmercarl.com/0203.移除链表元素.html)
* 定义fast指针和slow指针,初始值为虚拟头结点,如图:
From 8bab33d0bba8a080fb614bec6be3b0a5961d7727 Mon Sep 17 00:00:00 2001
From: wang <472146630@qq.com>
Date: Tue, 10 May 2022 21:27:54 +0800
Subject: [PATCH 39/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=200300.=E6=9C=80?=
=?UTF-8?q?=E9=95=BF=E4=B8=8A=E5=8D=87=E5=AD=90=E5=BA=8F=E5=88=97=E3=80=81?=
=?UTF-8?q?0322.=E9=9B=B6=E9=92=B1=E5=85=91=E6=8D=A2=E3=80=810518.?=
=?UTF-8?q?=E9=9B=B6=E9=92=B1=E5=85=91=E6=8D=A2II=20=E5=92=8C0674.?=
=?UTF-8?q?=E6=9C=80=E9=95=BF=E8=BF=9E=E7=BB=AD=E9=80=92=E5=A2=9E=E5=BA=8F?=
=?UTF-8?q?=E5=88=97=E7=9A=84rust=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0300.最长上升子序列.md | 17 +++++++++++++++++
problems/0322.零钱兑换.md | 20 +++++++++++++++++++-
problems/0518.零钱兑换II.md | 16 ++++++++++++++++
problems/0674.最长连续递增序列.md | 19 +++++++++++++++++++
4 files changed, 71 insertions(+), 1 deletion(-)
diff --git a/problems/0300.最长上升子序列.md b/problems/0300.最长上升子序列.md
index dfdd5125..f53d19a1 100644
--- a/problems/0300.最长上升子序列.md
+++ b/problems/0300.最长上升子序列.md
@@ -168,6 +168,23 @@ func lengthOfLIS(nums []int ) int {
}
```
+Rust:
+```rust
+pub fn length_of_lis(nums: Vec) -> i32 {
+ let mut dp = vec![1; nums.len() + 1];
+ let mut result = 1;
+ for i in 1..nums.len() {
+ for j in 0..i {
+ if nums[j] < nums[i] {
+ dp[i] = dp[i].max(dp[j] + 1);
+ }
+ result = result.max(dp[i]);
+ }
+ }
+ result
+}
+```
+
Javascript
```javascript
const lengthOfLIS = (nums) => {
diff --git a/problems/0322.零钱兑换.md b/problems/0322.零钱兑换.md
index 3a8d0662..43c735be 100644
--- a/problems/0322.零钱兑换.md
+++ b/problems/0322.零钱兑换.md
@@ -220,7 +220,7 @@ class Solution:
for j in range(coin, amount + 1):
dp[j] = min(dp[j], dp[j - coin] + 1)
return dp[amount] if dp[amount] < amount + 1 else -1
-
+
def coinChange1(self, coins: List[int], amount: int) -> int:
'''版本二'''
# 初始化
@@ -302,6 +302,24 @@ func min(a, b int) int {
```
+Rust:
+
+```rust
+pub fn coin_change(coins: Vec, amount: i32) -> i32 {
+ let amount = amount as usize;
+ let mut dp = vec![i32::MAX; amount + 1];
+ dp[0] = 0;
+ for i in 0..coins.len() {
+ for j in coins[i] as usize..=amount {
+ if dp[j - coins[i] as usize] != i32::MAX {
+ dp[j] = dp[j].min(dp[j - coins[i] as usize] + 1);
+ }
+ }
+ }
+ if dp[amount] == i32::MAX { -1 } else { dp[amount] }
+}
+```
+
Javascript:
```javascript
const coinChange = (coins, amount) => {
diff --git a/problems/0518.零钱兑换II.md b/problems/0518.零钱兑换II.md
index e72c5f85..0e4a3987 100644
--- a/problems/0518.零钱兑换II.md
+++ b/problems/0518.零钱兑换II.md
@@ -242,6 +242,22 @@ func change(amount int, coins []int) int {
}
```
+Rust:
+```rust
+pub fn change(amount: i32, coins: Vec) -> i32 {
+ let amount = amount as usize;
+ let coins = coins.iter().map(|&c|c as usize).collect::>();
+ let mut dp = vec![0usize; amount + 1];
+ dp[0] = 1;
+ for i in 0..coins.len() {
+ for j in coins[i]..=amount {
+ dp[j] += dp[j - coins[i]];
+ }
+ }
+ dp[amount] as i32
+}
+```
+
Javascript:
```javascript
const change = (amount, coins) => {
diff --git a/problems/0674.最长连续递增序列.md b/problems/0674.最长连续递增序列.md
index e941d242..36471490 100644
--- a/problems/0674.最长连续递增序列.md
+++ b/problems/0674.最长连续递增序列.md
@@ -218,6 +218,7 @@ class Solution:
return result
```
+
> 贪心法:
```python
class Solution:
@@ -237,6 +238,24 @@ class Solution:
Go:
+Rust:
+```rust
+pub fn find_length_of_lcis(nums: Vec) -> i32 {
+ if nums.is_empty() {
+ return 0;
+ }
+ let mut result = 1;
+ let mut dp = vec![1; nums.len()];
+ for i in 1..nums.len() {
+ if nums[i - 1] < nums[i] {
+ dp[i] = dp[i - 1] + 1;
+ result = result.max(dp[i]);
+ }
+ }
+ result
+}
+```
+
Javascript:
> 动态规划:
From c62d518e149295783d219ec1871da84af8e5546e Mon Sep 17 00:00:00 2001
From: FizzerYu <36132150+FizzerYu@users.noreply.github.com>
Date: Wed, 11 May 2022 01:17:08 +0800
Subject: [PATCH 40/43] fix bug
---
problems/0701.二叉搜索树中的插入操作.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/problems/0701.二叉搜索树中的插入操作.md b/problems/0701.二叉搜索树中的插入操作.md
index df6a3954..50e39ade 100644
--- a/problems/0701.二叉搜索树中的插入操作.md
+++ b/problems/0701.二叉搜索树中的插入操作.md
@@ -279,7 +279,7 @@ class Solution:
root.right = self.insertIntoBST(root.right, val)
# 返回更新后的以当前root为根节点的新树
- return roo
+ return root
```
**递归法** - 无返回值
From a5db99363b1bca72345036228776a0320242c8c4 Mon Sep 17 00:00:00 2001
From: SevenMonths
Date: Sun, 15 May 2022 15:35:08 +0800
Subject: [PATCH 41/43] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=EF=BC=880035.=E6=90=9C?=
=?UTF-8?q?=E7=B4=A2=E6=8F=92=E5=85=A5=E4=BD=8D=E7=BD=AE.md=EF=BC=89?=
=?UTF-8?q?=EF=BC=9A=E5=A2=9E=E5=8A=A0PHP=E7=89=88=E6=9C=AC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
problems/0035.搜索插入位置.md | 25 +++++++++++++++++++++++++
1 file changed, 25 insertions(+)
diff --git a/problems/0035.搜索插入位置.md b/problems/0035.搜索插入位置.md
index 9a770703..8a8f9706 100644
--- a/problems/0035.搜索插入位置.md
+++ b/problems/0035.搜索插入位置.md
@@ -318,6 +318,31 @@ func searchInsert(_ nums: [Int], _ target: Int) -> Int {
```
+### PHP
+
+```php
+// 二分法(1):[左闭右闭]
+function searchInsert($nums, $target)
+{
+ $n = count($nums);
+ $l = 0;
+ $r = $n - 1;
+ while ($l <= $r) {
+ $mid = floor(($l + $r) / 2);
+ if ($nums[$mid] > $target) {
+ // 下次搜索在左区间:[$l,$mid-1]
+ $r = $mid - 1;
+ } else if ($nums[$mid] < $target) {
+ // 下次搜索在右区间:[$mid+1,$r]
+ $l = $mid + 1;
+ } else {
+ // 命中返回
+ return $mid;
+ }
+ }
+ return $r + 1;
+}
+```
-----------------------
From 83c2fd2454bbbbeda82725d2c38a2b577d7434c6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E7=A8=8B=E5=BA=8F=E5=91=98Carl?=
Date: Wed, 18 May 2022 09:27:56 +0800
Subject: [PATCH 42/43] Update README.md
---
README.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/README.md b/README.md
index 3d44ca69..01cab0b0 100644
--- a/README.md
+++ b/README.md
@@ -31,7 +31,7 @@
-# LeetCode 刷题攻略1111
+# LeetCode 刷题攻略
## 刷题攻略的背景
From 278011c2df448c295985c0ba4f2ddc0843f4efd7 Mon Sep 17 00:00:00 2001
From: programmercarl <826123027@qq.com>
Date: Sun, 22 May 2022 11:11:50 +0800
Subject: [PATCH 43/43] Update
---
problems/0056.合并区间.md | 4 +-
problems/0077.组合.md | 25 +++++------
problems/0101.对称二叉树.md | 4 +-
problems/0435.无重叠区间.md | 2 +-
.../0452.用最少数量的箭引爆气球.md | 4 +-
problems/面试题 02.07. 解法更新.md | 41 -------------------
6 files changed, 20 insertions(+), 60 deletions(-)
delete mode 100644 problems/面试题 02.07. 解法更新.md
diff --git a/problems/0056.合并区间.md b/problems/0056.合并区间.md
index a9caeaf0..0d002b46 100644
--- a/problems/0056.合并区间.md
+++ b/problems/0056.合并区间.md
@@ -112,8 +112,8 @@ public:
};
```
-* 时间复杂度:$O(n\log n)$ ,有一个快排
-* 空间复杂度:$O(1)$,我没有算result数组(返回值所需容器占的空间)
+* 时间复杂度:O(nlog n) ,有一个快排
+* 空间复杂度:O(n),有一个快排,最差情况(倒序)时,需要n次递归调用。因此确实需要O(n)的栈空间
## 总结
diff --git a/problems/0077.组合.md b/problems/0077.组合.md
index 4560c5b7..9e0398ab 100644
--- a/problems/0077.组合.md
+++ b/problems/0077.组合.md
@@ -27,7 +27,7 @@
也可以直接看我的B站视频:[带你学透回溯算法-组合问题(对应力扣题目:77.组合)](https://www.bilibili.com/video/BV1ti4y1L7cv#reply3733925949)
-# 思路
+## 思路
本题这是回溯法的经典题目。
@@ -232,7 +232,7 @@ void backtracking(参数) {
**对比一下本题的代码,是不是发现有点像!** 所以有了这个模板,就有解题的大体方向,不至于毫无头绪。
-# 总结
+## 总结
组合问题是回溯法解决的经典问题,我们开始的时候给大家列举一个很形象的例子,就是n为100,k为50的话,直接想法就需要50层for循环。
@@ -242,7 +242,7 @@ void backtracking(参数) {
接着用回溯法三部曲,逐步分析了函数参数、终止条件和单层搜索的过程。
-# 剪枝优化
+## 剪枝优化
我们说过,回溯法虽然是暴力搜索,但也有时候可以有点剪枝优化一下的。
@@ -324,7 +324,7 @@ public:
};
```
-# 剪枝总结
+## 剪枝总结
本篇我们准对求组合问题的回溯法代码做了剪枝优化,这个优化如果不画图的话,其实不好理解,也不好讲清楚。
@@ -334,10 +334,10 @@ public:
-# 其他语言版本
+## 其他语言版本
-## Java:
+### Java:
```java
class Solution {
List> result = new ArrayList<>();
@@ -366,6 +366,8 @@ class Solution {
}
```
+### Python
+
Python2:
```python
class Solution(object):
@@ -395,7 +397,6 @@ class Solution(object):
return result
```
-## Python
```python
class Solution:
def combine(self, n: int, k: int) -> List[List[int]]:
@@ -432,7 +433,7 @@ class Solution:
```
-## javascript
+### javascript
剪枝:
```javascript
@@ -456,7 +457,7 @@ const combineHelper = (n, k, startIndex) => {
}
```
-## TypeScript
+### TypeScript
```typescript
function combine(n: number, k: number): number[][] {
@@ -479,7 +480,7 @@ function combine(n: number, k: number): number[][] {
-## Go
+### Go
```Go
var res [][]int
func combine(n int, k int) [][]int {
@@ -534,7 +535,7 @@ func backtrack(n,k,start int,track []int){
}
```
-## C
+### C
```c
int* path;
int pathTop;
@@ -642,7 +643,7 @@ int** combine(int n, int k, int* returnSize, int** returnColumnSizes){
}
```
-## Swift
+### Swift
```swift
func combine(_ n: Int, _ k: Int) -> [[Int]] {
diff --git a/problems/0101.对称二叉树.md b/problems/0101.对称二叉树.md
index e4e232c8..1eb43589 100644
--- a/problems/0101.对称二叉树.md
+++ b/problems/0101.对称二叉树.md
@@ -238,7 +238,7 @@ public:
};
```
-# 总结
+## 总结
这次我们又深度剖析了一道二叉树的“简单题”,大家会发现,真正的把题目搞清楚其实并不简单,leetcode上accept了和真正掌握了还是有距离的。
@@ -248,7 +248,7 @@ public:
如果已经做过这道题目的同学,读完文章可以再去看看这道题目,思考一下,会有不一样的发现!
-# 相关题目推荐
+## 相关题目推荐
这两道题目基本和本题是一样的,只要稍加修改就可以AC。
diff --git a/problems/0435.无重叠区间.md b/problems/0435.无重叠区间.md
index b24ca024..32790a34 100644
--- a/problems/0435.无重叠区间.md
+++ b/problems/0435.无重叠区间.md
@@ -93,7 +93,7 @@ public:
};
```
* 时间复杂度:O(nlog n) ,有一个快排
-* 空间复杂度:O(1)
+* 空间复杂度:O(n),有一个快排,最差情况(倒序)时,需要n次递归调用。因此确实需要O(n)的栈空间
大家此时会发现如此复杂的一个问题,代码实现却这么简单!
diff --git a/problems/0452.用最少数量的箭引爆气球.md b/problems/0452.用最少数量的箭引爆气球.md
index 33bbad55..327694ca 100644
--- a/problems/0452.用最少数量的箭引爆气球.md
+++ b/problems/0452.用最少数量的箭引爆气球.md
@@ -105,8 +105,8 @@ public:
};
```
-* 时间复杂度:$O(n\log n)$,因为有一个快排
-* 空间复杂度:$O(1)$
+* 时间复杂度:O(nlog n),因为有一个快排
+* 空间复杂度:O(1),有一个快排,最差情况(倒序)时,需要n次递归调用。因此确实需要O(n)的栈空间
可以看出代码并不复杂。
diff --git a/problems/面试题 02.07. 解法更新.md b/problems/面试题 02.07. 解法更新.md
deleted file mode 100644
index 6115d02e..00000000
--- a/problems/面试题 02.07. 解法更新.md
+++ /dev/null
@@ -1,41 +0,0 @@
-# 双指针,不计算链表长度
-设置指向headA和headB的指针pa、pb,分别遍历两个链表,每次循环同时更新pa和pb。
-* 当链表A遍历完之后,即pa为空时,将pa指向headB;
-* 当链表B遍历完之后,即pa为空时,将pb指向headA;
-* 当pa与pb相等时,即指向同一个节点,该节点即为相交起始节点。
-* 若链表不相交,则pa、pb同时为空时退出循环,即如果链表不相交,pa与pb在遍历过全部节点后同时指向结尾空节点,此时退出循环,返回空。
-# 证明思路
-设链表A不相交部分长度为a,链表B不相交部分长度为b,两个链表相交部分长度为c。
-在pa指向链表A时,即pa为空之前,pa经过链表A不相交部分和相交部分,走过的长度为a+c;
-pa指向链表B后,在移动相交节点之前经过链表B不相交部分,走过的长度为b,总合为a+c+b。
-同理,pb走过长度的总合为b+c+a。二者相等,即pa与pb可同时到达相交起始节点。
-该方法可避免计算具体链表长度。
-```cpp
-class Solution {
-public:
- ListNode *getIntersectionNode(ListNode *headA, ListNode *headB) {
- //链表为空时,返回空指针
- if(headA == nullptr || headB == nullptr) return nullptr;
- ListNode* pa = headA;
- ListNode* pb = headB;
- //pa与pb在遍历过全部节点后,同时指向结尾空节点时退出循环
- while(pa != nullptr || pb != nullptr){
- //pa为空时,将pa指向headB
- if(pa == nullptr){
- pa = headB;
- }
- //pa为空时,将pb指向headA
- if(pb == nullptr){
- pb = headA;
- }
- //pa与pb相等时,返回相交起始节点
- if(pa == pb){
- return pa;
- }
- pa = pa->next;
- pb = pb->next;
- }
- return nullptr;
- }
-};
-```