Merge branch 'youngyangyang04:master' into master

This commit is contained in:
fusunx
2021-06-02 19:26:45 -05:00
15 changed files with 519 additions and 17 deletions

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@ -136,6 +136,21 @@ func twoSum(nums []int, target int) []int {
}
```
```go
// 使用map方式解题降低时间复杂度
func twoSum(nums []int, target int) []int {
m := make(map[int]int)
for index, val := range nums {
if preIndex, ok := m[target-val]; ok {
return []int{preIndex, index}
} else {
m[val] = index
}
}
return []int{}
}
```
Rust
```rust

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@ -141,16 +141,7 @@ Java
class Solution {
public int[][] merge(int[][] intervals) {
List<int[]> res = new LinkedList<>();
Arrays.sort(intervals, new Comparator<int[]>() {
@Override
public int compare(int[] o1, int[] o2) {
if (o1[0] != o2[0]) {
return Integer.compare(o1[0],o2[0]);
} else {
return Integer.compare(o1[1],o2[1]);
}
}
});
Arrays.sort(intervals, (o1, o2) -> Integer.compare(o1[0], o2[0]));
int start = intervals[0][0];
for (int i = 1; i < intervals.length; i++) {

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@ -363,6 +363,54 @@ Python
Go
```go
/**
* Definition for a binary tree node.
* type TreeNode struct {
* Val int
* Left *TreeNode
* Right *TreeNode
* }
*/
// 递归
func defs(left *TreeNode, right *TreeNode) bool {
if left == nil && right == nil {
return true;
};
if left == nil || right == nil {
return false;
};
if left.Val != right.Val {
return false;
}
return defs(left.Left, right.Right) && defs(right.Left, left.Right);
}
func isSymmetric(root *TreeNode) bool {
return defs(root.Left, root.Right);
}
// 迭代
func isSymmetric(root *TreeNode) bool {
var queue []*TreeNode;
if root != nil {
queue = append(queue, root.Left, root.Right);
}
for len(queue) > 0 {
left := queue[0];
right := queue[1];
queue = queue[2:];
if left == nil && right == nil {
continue;
}
if left == nil || right == nil || left.Val != right.Val {
return false;
};
queue = append(queue, left.Left, right.Right, right.Left, left.Right);
}
return true;
}
```
JavaScript
```javascript

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@ -284,6 +284,55 @@ Python
Go
```go
/**
* Definition for a binary tree node.
* type TreeNode struct {
* Val int
* Left *TreeNode
* Right *TreeNode
* }
*/
func max (a, b int) int {
if a > b {
return a;
}
return b;
}
// 递归
func maxDepth(root *TreeNode) int {
if root == nil {
return 0;
}
return max(maxDepth(root.Left), maxDepth(root.Right)) + 1;
}
// 遍历
func maxDepth(root *TreeNode) int {
levl := 0;
queue := make([]*TreeNode, 0);
if root != nil {
queue = append(queue, root);
}
for l := len(queue); l > 0; {
for ;l > 0;l-- {
node := queue[0];
if node.Left != nil {
queue = append(queue, node.Left);
}
if node.Right != nil {
queue = append(queue, node.Right);
}
queue = queue[1:];
}
levl++;
l = len(queue);
}
return levl;
}
```
JavaScript
```javascript

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@ -301,6 +301,64 @@ class Solution:
Go
```go
/**
* Definition for a binary tree node.
* type TreeNode struct {
* Val int
* Left *TreeNode
* Right *TreeNode
* }
*/
func min(a, b int) int {
if a < b {
return a;
}
return b;
}
// 递归
func minDepth(root *TreeNode) int {
if root == nil {
return 0;
}
if root.Left == nil && root.Right != nil {
return 1 + minDepth(root.Right);
}
if root.Right == nil && root.Left != nil {
return 1 + minDepth(root.Left);
}
return min(minDepth(root.Left), minDepth(root.Right)) + 1;
}
// 迭代
func minDepth(root *TreeNode) int {
dep := 0;
queue := make([]*TreeNode, 0);
if root != nil {
queue = append(queue, root);
}
for l := len(queue); l > 0; {
dep++;
for ; l > 0; l-- {
node := queue[0];
if node.Left == nil && node.Right == nil {
return dep;
}
if node.Left != nil {
queue = append(queue, node.Left);
}
if node.Right != nil {
queue = append(queue, node.Right);
}
queue = queue[1:];
}
l = len(queue);
}
return dep;
}
```
JavaScript:

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@ -318,9 +318,61 @@ class Solution {
Python
Go
```go
import (
"fmt"
)
func reverseWords(s string) string {
//1.使用双指针删除冗余的空格
slowIndex, fastIndex := 0, 0
b := []byte(s)
//删除头部冗余空格
for len(b) > 0 && fastIndex < len(b) && b[fastIndex] == ' ' {
fastIndex++
}
//删除单词间冗余空格
for ; fastIndex < len(b); fastIndex++ {
if fastIndex-1 > 0 && b[fastIndex-1] == b[fastIndex] && b[fastIndex] == ' ' {
continue
}
b[slowIndex] = b[fastIndex]
slowIndex++
}
//删除尾部冗余空格
if slowIndex-1 > 0 && b[slowIndex-1] == ' ' {
b = b[:slowIndex-1]
} else {
b = b[:slowIndex]
}
//2.反转整个字符串
reverse(&b, 0, len(b)-1)
//3.反转单个单词 i单词开始位置j单词结束位置
i := 0
for i < len(b) {
j := i
for ; j < len(b) && b[j] != ' '; j++ {
}
reverse(&b, i, j-1)
i = j
i++
}
return string(b)
}
func reverse(b *[]byte, left, right int) {
for left < right {
(*b)[left], (*b)[right] = (*b)[right], (*b)[left]
left++
right--
}
}
```
@ -328,4 +380,4 @@ Go
* 作者微信:[程序员Carl](https://mp.weixin.qq.com/s/b66DFkOp8OOxdZC_xLZxfw)
* B站视频[代码随想录](https://space.bilibili.com/525438321)
* 知识星球:[代码随想录](https://mp.weixin.qq.com/s/QVF6upVMSbgvZy8lHZS3CQ)
<div align="center"><img src=../pics/公众号.png width=450 alt=> </img></div>
<div align="center"><img src=../pics/公众号.png width=450 alt=> </img></div>

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@ -263,6 +263,41 @@ class Solution {
```
Python
```python
class MyQueue: #单调队列(从大到小
def __init__(self):
self.queue = [] #使用list来实现单调队列
#每次弹出的时候,比较当前要弹出的数值是否等于队列出口元素的数值,如果相等则弹出。
#同时pop之前判断队列当前是否为空。
def pop(self, value):
if self.queue and value == self.queue[0]:
self.queue.pop(0)#list.pop()时间复杂度为O(n),这里可以使用collections.deque()
#如果push的数值大于入口元素的数值那么就将队列后端的数值弹出直到push的数值小于等于队列入口元素的数值为止。
#这样就保持了队列里的数值是单调从大到小的了。
def push(self, value):
while self.queue and value > self.queue[-1]:
self.queue.pop()
self.queue.append(value)
#查询当前队列里的最大值 直接返回队列前端也就是front就可以了。
def front(self):
return self.queue[0]
class Solution:
def maxSlidingWindow(self, nums: List[int], k: int) -> List[int]:
que = MyQueue()
result = []
for i in range(k): #先将前k的元素放进队列
que.push(nums[i])
result.append(que.front()) #result 记录前k的元素的最大值
for i in range(k, len(nums)):
que.pop(nums[i - k]) #滑动窗口移除最前面元素
que.push(nums[i]) #滑动窗口前加入最后面的元素
result.append(que.front()) #记录对应的最大值
return result
```
Go

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@ -162,7 +162,33 @@ class Solution {
Python
```python
#时间复杂度O(nlogk)
#空间复杂度O(n)
import heapq
class Solution:
def topKFrequent(self, nums: List[int], k: int) -> List[int]:
#要统计元素出现频率
map_ = {} #nums[i]:对应出现的次数
for i in range(len(nums)):
map_[nums[i]] = map_.get(nums[i], 0) + 1
#对频率排序
#定义一个小顶堆大小为k
pri_que = [] #小顶堆
#用固定大小为k的小顶堆扫面所有频率的数值
for key, freq in map_.items():
heapq.heappush(pri_que, (freq, key))
if len(pri_que) > k: #如果堆的大小大于了K则队列弹出保证堆的大小一直为k
heapq.heappop(pri_que)
#找出前K个高频元素因为小顶堆先弹出的是最小的所以倒叙来输出到数组
result = [0] * k
for i in range(k-1, -1, -1):
result[i] = heapq.heappop(pri_que)[1]
return result
```
Go

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@ -166,6 +166,21 @@ class Solution(object):
```
Go
```go
func canConstruct(ransomNote string, magazine string) bool {
record := make([]int, 26)
for _, v := range magazine {
record[v-'a']++
}
for _, v := range ransomNote {
record[v-'a']--
if record[v-'a'] < 0 {
return false
}
}
return true
}
```
javaScript:

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@ -154,6 +154,23 @@ class Solution(object):
Go
```go
func fourSumCount(nums1 []int, nums2 []int, nums3 []int, nums4 []int) int {
m := make(map[int]int)
count := 0
for _, v1 := range nums1 {
for _, v2 := range nums2 {
m[v1+v2]++
}
}
for _, v3 := range nums3 {
for _, v4 := range nums4 {
count += m[-v3-v4]
}
}
return count
}
```
javaScript:

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@ -184,6 +184,55 @@ class Solution {
Python
这里使用了前缀表统一减一的实现方式
```python
class Solution:
def repeatedSubstringPattern(self, s: str) -> bool:
if len(s) == 0:
return False
nxt = [0] * len(s)
self.getNext(nxt, s)
if nxt[-1] != -1 and len(s) % (len(s) - (nxt[-1] + 1)) == 0:
return True
return False
def getNext(self, nxt, s):
nxt[0] = -1
j = -1
for i in range(1, len(s)):
while j >= 0 and s[i] != s[j+1]:
j = nxt[j]
if s[i] == s[j+1]:
j += 1
nxt[i] = j
return nxt
```
前缀表(不减一)的代码实现
```python
class Solution:
def repeatedSubstringPattern(self, s: str) -> bool:
if len(s) == 0:
return False
nxt = [0] * len(s)
self.getNext(nxt, s)
if nxt[-1] != 0 and len(s) % (len(s) - nxt[-1]) == 0:
return True
return False
def getNext(self, nxt, s):
nxt[0] = 0
j = 0
for i in range(1, len(s)):
while j > 0 and s[i] != s[j]:
j = nxt[j - 1]
if s[i] == s[j]:
j += 1
nxt[i] = j
return nxt
```
Go

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@ -276,7 +276,35 @@ class Solution:
```
Go
```go
func findTargetSumWays(nums []int, target int) int {
sum := 0
for _, v := range nums {
sum += v
}
if target > sum {
return 0
}
if (sum+target)%2 == 1 {
return 0
}
// 计算背包大小
bag := (sum + target) / 2
// 定义dp数组
dp := make([]int, bag+1)
// 初始化
dp[0] = 1
// 遍历顺序
for i := 0; i < len(nums); i++ {
for j := bag; j >= nums[i]; j-- {
//推导公式
dp[j] += dp[j-nums[i]]
//fmt.Println(dp)
}
}
return dp[bag]
}
```

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@ -191,7 +191,33 @@ class Solution:
```
Go
```go
func lastStoneWeightII(stones []int) int {
// 15001 = 30 * 1000 /2 +1
dp := make([]int, 15001)
// 求target
sum := 0
for _, v := range stones {
sum += v
}
target := sum / 2
// 遍历顺序
for i := 0; i < len(stones); i++ {
for j := target; j >= stones[i]; j-- {
// 推导公式
dp[j] = max(dp[j], dp[j-stones[i]]+stones[i])
}
}
return sum - 2 * dp[target]
}
func max(a, b int) int {
if a > b {
return a
}
return b
}
```

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@ -239,7 +239,78 @@ Java
```
Python
> 迭代法前序遍历
```python
class Solution:
def preorderTraversal(self, root: TreeNode) -> List[int]:
result = []
st= []
if root:
st.append(root)
while st:
node = st.pop()
if node != None:
if node.right: #右
st.append(node.right)
if node.left: #左
st.append(node.left)
st.append(node) #中
st.append(None)
else:
node = st.pop()
result.append(node.val)
return result
```
> 迭代法中序遍历
```python
class Solution:
def inorderTraversal(self, root: TreeNode) -> List[int]:
result = []
st = []
if root:
st.append(root)
while st:
node = st.pop()
if node != None:
if node.right: #添加右节点(空节点不入栈)
st.append(node.right)
st.append(node) #添加中节点
st.append(None) #中节点访问过,但是还没有处理,加入空节点做为标记。
if node.left: #添加左节点(空节点不入栈)
st.append(node.left)
else: #只有遇到空节点的时候,才将下一个节点放进结果集
node = st.pop() #重新取出栈中元素
result.append(node.val) #加入到结果集
return result
```
> 迭代法后序遍历
```python
class Solution:
def postorderTraversal(self, root: TreeNode) -> List[int]:
result = []
st = []
if root:
st.append(root)
while st:
node = st.pop()
if node != None:
st.append(node) #中
st.append(None)
if node.right: #右
st.append(node.right)
if node.left: #左
st.append(node.left)
else:
node = st.pop()
result.append(node.val)
return result
```
Go
> 前序遍历统一迭代法

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@ -23,7 +23,7 @@ https://leetcode-cn.com/problems/zuo-xuan-zhuan-zi-fu-chuan-lcof/
示例 2
输入: s = "lrloseumgh", k = 6
输出: "umghlrlose"
 
限制:
1 <= k < s.length <= 10000
@ -119,9 +119,31 @@ class Solution {
```
Python
Go
```go
func reverseLeftWords(s string, n int) string {
b := []byte(s)
// 1. 反转前n个字符
// 2. 反转第n到end字符
// 3. 反转整个字符
reverse(b, 0, n-1)
reverse(b, n, len(b)-1)
reverse(b, 0, len(b)-1)
return string(b)
}
// 切片是引用传递
func reverse(b []byte, left, right int){
for left < right{
b[left], b[right] = b[right],b[left]
left++
right--
}
}
```
@ -129,4 +151,4 @@ Go
* 作者微信:[程序员Carl](https://mp.weixin.qq.com/s/b66DFkOp8OOxdZC_xLZxfw)
* B站视频[代码随想录](https://space.bilibili.com/525438321)
* 知识星球:[代码随想录](https://mp.weixin.qq.com/s/QVF6upVMSbgvZy8lHZS3CQ)
<div align="center"><img src=../pics/公众号.png width=450 alt=> </img></div>
<div align="center"><img src=../pics/公众号.png width=450 alt=> </img></div>