mirror of
https://github.com/youngyangyang04/leetcode-master.git
synced 2025-07-09 03:34:02 +08:00
Merge branch 'youngyangyang04:master' into master
This commit is contained in:
@ -9,7 +9,7 @@
|
||||
|
||||
## 1. 两数之和
|
||||
|
||||
https://leetcode-cn.com/problems/two-sum/
|
||||
[力扣题目链接](https://leetcode-cn.com/problems/two-sum/)
|
||||
|
||||
给定一个整数数组 nums 和一个目标值 target,请你在该数组中找出和为目标值的那 两个 整数,并返回他们的数组下标。
|
||||
|
||||
@ -29,10 +29,10 @@ https://leetcode-cn.com/problems/two-sum/
|
||||
很明显暴力的解法是两层for循环查找,时间复杂度是O(n^2)。
|
||||
|
||||
建议大家做这道题目之前,先做一下这两道
|
||||
* [242. 有效的字母异位词](https://mp.weixin.qq.com/s/ffS8jaVFNUWyfn_8T31IdA)
|
||||
* [349. 两个数组的交集](https://mp.weixin.qq.com/s/aMSA5zrp3jJcLjuSB0Es2Q)
|
||||
* [242. 有效的字母异位词](https://www.programmercarl.com/0242.有效的字母异位词.html)
|
||||
* [349. 两个数组的交集](https://www.programmercarl.com/0349.两个数组的交集.html)
|
||||
|
||||
[242. 有效的字母异位词](https://mp.weixin.qq.com/s/ffS8jaVFNUWyfn_8T31IdA) 这道题目是用数组作为哈希表来解决哈希问题,[349. 两个数组的交集](https://mp.weixin.qq.com/s/aMSA5zrp3jJcLjuSB0Es2Q)这道题目是通过set作为哈希表来解决哈希问题。
|
||||
[242. 有效的字母异位词](https://www.programmercarl.com/0242.有效的字母异位词.html) 这道题目是用数组作为哈希表来解决哈希问题,[349. 两个数组的交集](https://www.programmercarl.com/0349.两个数组的交集.html)这道题目是通过set作为哈希表来解决哈希问题。
|
||||
|
||||
本题呢,则要使用map,那么来看一下使用数组和set来做哈希法的局限。
|
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|
||||
@ -51,7 +51,7 @@ C++中map,有三种类型:
|
||||
|
||||
std::unordered_map 底层实现为哈希表,std::map 和std::multimap 的底层实现是红黑树。
|
||||
|
||||
同理,std::map 和std::multimap 的key也是有序的(这个问题也经常作为面试题,考察对语言容器底层的理解)。 更多哈希表的理论知识请看[关于哈希表,你该了解这些!](https://mp.weixin.qq.com/s/RSUANESA_tkhKhYe3ZR8Jg)。
|
||||
同理,std::map 和std::multimap 的key也是有序的(这个问题也经常作为面试题,考察对语言容器底层的理解)。 更多哈希表的理论知识请看[关于哈希表,你该了解这些!](https://www.programmercarl.com/哈希表理论基础.html)。
|
||||
|
||||
**这道题目中并不需要key有序,选择std::unordered_map 效率更高!**
|
||||
|
||||
@ -110,13 +110,14 @@ Python:
|
||||
```python
|
||||
class Solution:
|
||||
def twoSum(self, nums: List[int], target: int) -> List[int]:
|
||||
hashmap={}
|
||||
for ind,num in enumerate(nums):
|
||||
hashmap[num] = ind
|
||||
for i,num in enumerate(nums):
|
||||
j = hashmap.get(target - num)
|
||||
if j is not None and i!=j:
|
||||
return [i,j]
|
||||
records = dict()
|
||||
|
||||
# 用枚举更方便,就不需要通过索引再去取当前位置的值
|
||||
for idx, val in enumerate(nums):
|
||||
if target - val not in records:
|
||||
records[val] = idx
|
||||
else:
|
||||
return [records[target - val], idx] # 如果存在就返回字典记录索引和当前索引
|
||||
```
|
||||
|
||||
|
||||
|
@ -302,6 +302,61 @@ func generateMatrix(n int) [][]int {
|
||||
}
|
||||
```
|
||||
|
||||
Swift:
|
||||
|
||||
```swift
|
||||
func generateMatrix(_ n: Int) -> [[Int]] {
|
||||
var result = [[Int]](repeating: [Int](repeating: 0, count: n), count: n)
|
||||
|
||||
var startRow = 0
|
||||
var startColumn = 0
|
||||
var loopCount = n / 2
|
||||
let mid = n / 2
|
||||
var count = 1
|
||||
var offset = 1
|
||||
var row: Int
|
||||
var column: Int
|
||||
|
||||
while loopCount > 0 {
|
||||
row = startRow
|
||||
column = startColumn
|
||||
|
||||
for c in column ..< startColumn + n - offset {
|
||||
result[startRow][c] = count
|
||||
count += 1
|
||||
column += 1
|
||||
}
|
||||
|
||||
for r in row ..< startRow + n - offset {
|
||||
result[r][column] = count
|
||||
count += 1
|
||||
row += 1
|
||||
}
|
||||
|
||||
for _ in startColumn ..< column {
|
||||
result[row][column] = count
|
||||
count += 1
|
||||
column -= 1
|
||||
}
|
||||
|
||||
for _ in startRow ..< row {
|
||||
result[row][column] = count
|
||||
count += 1
|
||||
row -= 1
|
||||
}
|
||||
|
||||
startRow += 1
|
||||
startColumn += 1
|
||||
offset += 2
|
||||
loopCount -= 1
|
||||
}
|
||||
|
||||
if (n % 2) != 0 {
|
||||
result[mid][mid] = count
|
||||
}
|
||||
return result
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
|
||||
|
@ -165,7 +165,32 @@ public:
|
||||
Java:
|
||||
|
||||
Python:
|
||||
```python3
|
||||
class Solution:
|
||||
def sumNumbers(self, root: TreeNode) -> int:
|
||||
res = 0
|
||||
path = []
|
||||
def backtrace(root):
|
||||
nonlocal res
|
||||
if not root: return # 节点空则返回
|
||||
path.append(root.val)
|
||||
if not root.left and not root.right: # 遇到了叶子节点
|
||||
res += get_sum(path)
|
||||
if root.left: # 左子树不空
|
||||
backtrace(root.left)
|
||||
if root.right: # 右子树不空
|
||||
backtrace(root.right)
|
||||
path.pop()
|
||||
|
||||
def get_sum(arr):
|
||||
s = 0
|
||||
for i in range(len(arr)):
|
||||
s = s * 10 + arr[i]
|
||||
return s
|
||||
|
||||
backtrace(root)
|
||||
return res
|
||||
```
|
||||
Go:
|
||||
|
||||
JavaScript:
|
||||
|
@ -222,7 +222,61 @@ public class ReorderList {
|
||||
```
|
||||
|
||||
Python:
|
||||
```python3
|
||||
# 方法二 双向队列
|
||||
class Solution:
|
||||
def reorderList(self, head: ListNode) -> None:
|
||||
"""
|
||||
Do not return anything, modify head in-place instead.
|
||||
"""
|
||||
d = collections.deque()
|
||||
tmp = head
|
||||
while tmp.next: # 链表除了首元素全部加入双向队列
|
||||
d.append(tmp.next)
|
||||
tmp = tmp.next
|
||||
tmp = head
|
||||
while len(d): # 一后一前加入链表
|
||||
tmp.next = d.pop()
|
||||
tmp = tmp.next
|
||||
if len(d):
|
||||
tmp.next = d.popleft()
|
||||
tmp = tmp.next
|
||||
tmp.next = None # 尾部置空
|
||||
|
||||
# 方法三 反转链表
|
||||
class Solution:
|
||||
def reorderList(self, head: ListNode) -> None:
|
||||
if head == None or head.next == None:
|
||||
return True
|
||||
slow, fast = head, head
|
||||
while fast and fast.next:
|
||||
slow = slow.next
|
||||
fast = fast.next.next
|
||||
right = slow.next # 分割右半边
|
||||
slow.next = None # 切断
|
||||
right = self.reverseList(right) #反转右半边
|
||||
left = head
|
||||
# 左半边一定比右半边长, 因此判断右半边即可
|
||||
while right:
|
||||
curLeft = left.next
|
||||
left.next = right
|
||||
left = curLeft
|
||||
|
||||
curRight = right.next
|
||||
right.next = left
|
||||
right = curRight
|
||||
|
||||
|
||||
def reverseList(self, head: ListNode) -> ListNode:
|
||||
cur = head
|
||||
pre = None
|
||||
while(cur!=None):
|
||||
temp = cur.next # 保存一下cur的下一个节点
|
||||
cur.next = pre # 反转
|
||||
pre = cur
|
||||
cur = temp
|
||||
return pre
|
||||
```
|
||||
Go:
|
||||
|
||||
JavaScript:
|
||||
|
@ -111,25 +111,29 @@ Python:
|
||||
```python
|
||||
class Solution:
|
||||
def isHappy(self, n: int) -> bool:
|
||||
set_ = set()
|
||||
while 1:
|
||||
sum_ = self.getSum(n)
|
||||
if sum_ == 1:
|
||||
def calculate_happy(num):
|
||||
sum_ = 0
|
||||
|
||||
# 从个位开始依次取,平方求和
|
||||
while num:
|
||||
sum_ += (num % 10) ** 2
|
||||
num = num // 10
|
||||
return sum_
|
||||
|
||||
# 记录中间结果
|
||||
record = set()
|
||||
|
||||
while True:
|
||||
n = calculate_happy(n)
|
||||
if n == 1:
|
||||
return True
|
||||
#如果这个sum曾经出现过,说明已经陷入了无限循环了,立刻return false
|
||||
if sum_ in set_:
|
||||
|
||||
# 如果中间结果重复出现,说明陷入死循环了,该数不是快乐数
|
||||
if n in record:
|
||||
return False
|
||||
else:
|
||||
set_.add(sum_)
|
||||
n = sum_
|
||||
|
||||
#取数值各个位上的单数之和
|
||||
def getSum(self, n):
|
||||
sum_ = 0
|
||||
while n > 0:
|
||||
sum_ += (n%10) * (n%10)
|
||||
n //= 10
|
||||
return sum_
|
||||
record.add(n)
|
||||
|
||||
```
|
||||
|
||||
Go:
|
||||
|
@ -304,6 +304,34 @@ var removeElements = function(head, val) {
|
||||
};
|
||||
```
|
||||
|
||||
Swift:
|
||||
|
||||
```swift
|
||||
/**
|
||||
* Definition for singly-linked list.
|
||||
* public class ListNode {
|
||||
* public var val: Int
|
||||
* public var next: ListNode?
|
||||
* public init() { self.val = 0; self.next = nil; }
|
||||
* public init(_ val: Int) { self.val = val; self.next = nil; }
|
||||
* public init(_ val: Int, _ next: ListNode?) { self.val = val; self.next = next; }
|
||||
* }
|
||||
*/
|
||||
func removeElements(_ head: ListNode?, _ val: Int) -> ListNode? {
|
||||
let dummyNode = ListNode()
|
||||
dummyNode.next = head
|
||||
var currentNode = dummyNode
|
||||
while let curNext = currentNode.next {
|
||||
if curNext.val == val {
|
||||
currentNode.next = curNext.next
|
||||
} else {
|
||||
currentNode = curNext
|
||||
}
|
||||
}
|
||||
return dummyNode.next
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
|
||||
|
||||
|
@ -148,7 +148,62 @@ public:
|
||||
|
||||
## Python
|
||||
|
||||
```python
|
||||
```python3
|
||||
#数组模拟
|
||||
class Solution:
|
||||
def isPalindrome(self, head: ListNode) -> bool:
|
||||
length = 0
|
||||
tmp = head
|
||||
while tmp: #求链表长度
|
||||
length += 1
|
||||
tmp = tmp.next
|
||||
|
||||
result = [0] * length
|
||||
tmp = head
|
||||
index = 0
|
||||
while tmp: #链表元素加入数组
|
||||
result[index] = tmp.val
|
||||
index += 1
|
||||
tmp = tmp.next
|
||||
|
||||
i, j = 0, length - 1
|
||||
while i < j: # 判断回文
|
||||
if result[i] != result[j]:
|
||||
return False
|
||||
i += 1
|
||||
j -= 1
|
||||
return True
|
||||
|
||||
#反转后半部分链表
|
||||
class Solution:
|
||||
def isPalindrome(self, head: ListNode) -> bool:
|
||||
if head == None or head.next == None:
|
||||
return True
|
||||
slow, fast = head, head
|
||||
while fast and fast.next:
|
||||
pre = slow
|
||||
slow = slow.next
|
||||
fast = fast.next.next
|
||||
|
||||
pre.next = None # 分割链表
|
||||
cur1 = head # 前半部分
|
||||
cur2 = self.reverseList(slow) # 反转后半部分,总链表长度如果是奇数,cur2比cur1多一个节点
|
||||
while cur1:
|
||||
if cur1.val != cur2.val:
|
||||
return False
|
||||
cur1 = cur1.next
|
||||
cur2 = cur2.next
|
||||
return True
|
||||
|
||||
def reverseList(self, head: ListNode) -> ListNode:
|
||||
cur = head
|
||||
pre = None
|
||||
while(cur!=None):
|
||||
temp = cur.next # 保存一下cur的下一个节点
|
||||
cur.next = pre # 反转
|
||||
pre = cur
|
||||
cur = temp
|
||||
return pre
|
||||
```
|
||||
|
||||
## Go
|
||||
|
@ -121,13 +121,7 @@ Python:
|
||||
```python
|
||||
class Solution:
|
||||
def intersection(self, nums1: List[int], nums2: List[int]) -> List[int]:
|
||||
result_set = set()
|
||||
|
||||
set1 = set(nums1)
|
||||
for num in nums2:
|
||||
if num in set1:
|
||||
result_set.add(num) # set1里出现的nums2元素 存放到结果
|
||||
return list(result_set)
|
||||
return list(set(nums1) & set(nums2)) # 两个数组先变成集合,求交集后还原为数组
|
||||
```
|
||||
|
||||
|
||||
|
@ -89,7 +89,16 @@ class Solution {
|
||||
|
||||
## Python
|
||||
|
||||
```python
|
||||
```python3
|
||||
class Solution:
|
||||
def pivotIndex(self, nums: List[int]) -> int:
|
||||
numSum = sum(nums) #数组总和
|
||||
leftSum = 0
|
||||
for i in range(len(nums)):
|
||||
if numSum - leftSum -nums[i] == leftSum: #左右和相等
|
||||
return i
|
||||
leftSum += nums[i]
|
||||
return -1
|
||||
```
|
||||
|
||||
## Go
|
||||
|
@ -149,7 +149,32 @@ class Solution {
|
||||
|
||||
## Python
|
||||
|
||||
```python
|
||||
```python3
|
||||
#方法2
|
||||
class Solution:
|
||||
def sortArrayByParityII(self, nums: List[int]) -> List[int]:
|
||||
result = [0]*len(nums)
|
||||
evenIndex = 0
|
||||
oddIndex = 1
|
||||
for i in range(len(nums)):
|
||||
if nums[i] % 2: #奇数
|
||||
result[oddIndex] = nums[i]
|
||||
oddIndex += 2
|
||||
else: #偶数
|
||||
result[evenIndex] = nums[i]
|
||||
evenIndex += 2
|
||||
return result
|
||||
|
||||
#方法3
|
||||
class Solution:
|
||||
def sortArrayByParityII(self, nums: List[int]) -> List[int]:
|
||||
oddIndex = 1
|
||||
for i in range(0,len(nums),2): #步长为2
|
||||
if nums[i] % 2: #偶数位遇到奇数
|
||||
while nums[oddIndex] % 2: #奇数位找偶数
|
||||
oddIndex += 2
|
||||
nums[i], nums[oddIndex] = nums[oddIndex], nums[i]
|
||||
return nums
|
||||
```
|
||||
|
||||
## Go
|
||||
|
@ -252,6 +252,24 @@ func sortedSquares(_ nums: [Int]) -> [Int] {
|
||||
}
|
||||
```
|
||||
|
||||
Ruby:
|
||||
|
||||
```ruby
|
||||
def sorted_squares(nums)
|
||||
left, right, result = 0, nums.size - 1, []
|
||||
while left <= right
|
||||
if nums[left]**2 > nums[right]**2
|
||||
result << nums[left]**2
|
||||
left += 1
|
||||
else
|
||||
result << nums[right]**2
|
||||
right -= 1
|
||||
end
|
||||
end
|
||||
result.reverse
|
||||
end
|
||||
```
|
||||
|
||||
|
||||
|
||||
-----------------------
|
||||
|
@ -160,34 +160,21 @@ Python:
|
||||
|
||||
class Solution:
|
||||
def getIntersectionNode(self, headA: ListNode, headB: ListNode) -> ListNode:
|
||||
lengthA,lengthB = 0,0
|
||||
curA,curB = headA,headB
|
||||
while(curA!=None): #求链表A的长度
|
||||
curA = curA.next
|
||||
lengthA +=1
|
||||
|
||||
while(curB!=None): #求链表B的长度
|
||||
curB = curB.next
|
||||
lengthB +=1
|
||||
|
||||
curA, curB = headA, headB
|
||||
"""
|
||||
根据快慢法则,走的快的一定会追上走得慢的。
|
||||
在这道题里,有的链表短,他走完了就去走另一条链表,我们可以理解为走的快的指针。
|
||||
|
||||
if lengthB>lengthA: #让curA为最长链表的头,lenA为其长度
|
||||
lengthA, lengthB = lengthB, lengthA
|
||||
curA, curB = curB, curA
|
||||
那么,只要其中一个链表走完了,就去走另一条链表的路。如果有交点,他们最终一定会在同一个
|
||||
位置相遇
|
||||
"""
|
||||
cur_a, cur_b = headA, headB # 用两个指针代替a和b
|
||||
|
||||
gap = lengthA - lengthB #求长度差
|
||||
while(gap!=0):
|
||||
curA = curA.next #让curA和curB在同一起点上
|
||||
gap -= 1
|
||||
|
||||
while(curA!=None):
|
||||
if curA == curB:
|
||||
return curA
|
||||
else:
|
||||
curA = curA.next
|
||||
curB = curB.next
|
||||
return None
|
||||
while cur_a != cur_b:
|
||||
cur_a = cur_a.next if cur_a else headB # 如果a走完了,那么就切换到b走
|
||||
cur_b = cur_b.next if cur_b else headA # 同理,b走完了就切换到a
|
||||
|
||||
return cur_a
|
||||
```
|
||||
|
||||
Go:
|
||||
|
Reference in New Issue
Block a user