
LeetCodeCampsDay3链表part01
主要与链表相关
记住:一般涉及到 增删改操作,用虚拟头结点dummy_head都会方便很多, 如果只能查的话,用不用虚拟头结点都差不多。
链表理论基础
建议:了解一下链表基础,以及链表和数组的区别
文章链接:https://programmercarl.com/%E9%93%BE%E8%A1%A8%E7%90%86%E8%AE%BA%E5%9F%BA%E7%A1%80.html
203. 移除链表元素
https://leetcode.cn/problems/remove-linked-list-elements/
一个链表的头节点head和一个整数val,请你删除链表中所有满足Node.val == val的节点,并返回 新的头节点 。
示例 1:

输入:head = [1,2,6,3,4,5,6], val = 6
输出:[1,2,3,4,5]示例 2:
输入:head = [], val = 1
输出:[]示例 3:
输入:head = [7,7,7,7], val = 7
输出:[]提示:
- 列表中的节点数目在范围
[0, 104]内 1 <= Node.val <= 500 <= val <= 50
思路
- head是输入链表,是不动的;需要一个遍历的指针,可以使用index = head创建;
- 不断判断index.next的值是否等于val(因为,如果index.next.val等于val,可以通过操作,让index.next被删除)
- 最后判断下,如果head.val等于val,需要将head=head.next ;以免出现val=1, 但head返回是[1,2]的情况
代码
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def removeElements(self, head: Optional[ListNode], val: int) -> Optional[ListNode]:
if head is None:
return head
index = head
while index.next is not None:
if val == index.next.val:
index.next = index.next.next
else:
index = index.next
if head.val == val:
head = head.next
return head思路二
思路一有个缺点,需要单独写一段逻辑处理头结点的情况,可以设置一个虚拟头部dummy_head,其中dummy_head.next=head;从而原链表的所有节点都可以统一处理

代码二
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def removeElements(self, head: Optional[ListNode], val: int) -> Optional[ListNode]:
dummpy_head = ListNode(next = head)
# 同样需要index作为当前指针
index = dummpy_head
while index.next is not None:
if val == index.next.val:
index.next = index.next.next
else:
index = index.next
return dummpy_head.next206. 反转链表
https://leetcode.cn/problems/reverse-linked-list/
示例 1:

输入:head = [1,2,3,4,5]
输出:[5,4,3,2,1]示例 2:

输入:head = [1,2]
输出:[2,1]示例 3:
输入:head = []
输出:[]提示:
- 链表中节点的数目范围是
[0, 5000] -5000 <= Node.val <= 5000
进阶:链表可以选用迭代或递归方式完成反转。你能否用两种方法解决这道题?
思路一
至少需要三个辅助节点,pre, current, current_next(temp)
- 先记录current.next到temp
- 不断将current.next设置为pre
- pre转成current;current转成temp

代码一
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def reverseList(self, head: Optional[ListNode]) -> Optional[ListNode]:
current = head
pre = None
while current is not None:
temp = current.next
current.next = pre
pre = current
current = temp
return pre思路二(递归)
退出条件:如果head为空/head.next为空,则直接返回haed,因为它已经反转了
让递归函数输入head.next(即剩下链表),返回结果为new_head;new_head会先变成原head链表最后一个元素,如[1,2,3,4,5]则new_head为5,且整个递归过程new_head一直为5
foo([1,2,3,4,5])
foo([1,foo([2,3,4,5])])
foo([1,foo([2,foo([3,4,5])])])
foo([1,foo([2,foo([3,foo([4,5])])])])
foo([1,foo([2,foo([3,foo([4,foo([5])])])])])
逐个分析下
- foo([5])返回head,并且成为new_head
- 对于foo([4,foo([5])]),new_head = 5;head.next.next = head 意为将4.next.next(原来为5)设置为4,即5.next = 4;且head.next = None,即4.next = None;这里把4当成反转后的最后一个节点
- 对于foo([3,foo([4,foo([5])])]),new_head = 5; head.next.next = head意为将3.next.next(原为4)设置为3,即4.next = 3且head.next = None,即3.next = None;这里把3当成反转后的最后一个节点
- 对于foo([2,foo([3,foo([4,foo([5])])])]),new_head = 5; head.ext.next = head意为将2.next.next(原为3)设置为2,即3.next = 2且head.next = None,即2.next = None;这里把2当成反转后的最后一个节点
- 对于foo([1,foo([2,foo([3,foo([4,foo([5])])])])]),new_head = 5; head.ext.next = head意为将1.next.next(原为2)设置为1,即2.next = 1且head.next = None,即1.next = None;这里把1当成反转后的最后一个节点
从而完成递归的反转链表
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def reverseList(self, head: Optional[ListNode]) -> Optional[ListNode]:
def foo(head: Optional[ListNode]):
if head is None or head.next is None:
return head
# new_head会先变成原head链表最后一个元素
# [1,2,3,4,5]则new_head为5,且一直为5
new_head = foo(head.next)
# 反转两个节点
head.next.next = head
# 反转后的最后一个节点的next设置为None
head.next = None
return new_head
return foo(head)时间复杂度O(n),其中n是链表节点数,每个节点被访问一次
空间复杂度O(N),递归调用栈的空间,最坏的情况下,stack深度为n
707. 设计链表
https://leetcode.cn/problems/design-linked-list/
你可以选择使用单链表或者双链表,设计并实现自己的链表。
单链表中的节点应该具备两个属性:val 和 next 。val 是当前节点的值,next 是指向下一个节点的指针/引用。
如果是双向链表,则还需要属性 prev 以指示链表中的上一个节点。假设链表中的所有节点下标从 0 开始。
实现 MyLinkedList 类:
MyLinkedList()初始化MyLinkedList对象。int get(int index)获取链表中下标为index的节点的值。如果下标无效,则返回-1。void addAtHead(int val)将一个值为val的节点插入到链表中第一个元素之前。在插入完成后,新节点会成为链表的第一个节点。void addAtTail(int val)将一个值为val的节点追加到链表中作为链表的最后一个元素。void addAtIndex(int index, int val)将一个值为val的节点插入到链表中下标为index的节点之前。如果index等于链表的长度,那么该节点会被追加到链表的末尾。如果index比长度更大,该节点将 不会插入 到链表中。void deleteAtIndex(int index)如果下标有效,则删除链表中下标为index的节点。
示例:
输入
["MyLinkedList", "addAtHead", "addAtTail", "addAtIndex", "get", "deleteAtIndex", "get"]
[[], [1], [3], [1, 2], [1], [1], [1]]
输出
[null, null, null, null, 2, null, 3]
解释
MyLinkedList myLinkedList = new MyLinkedList();
myLinkedList.addAtHead(1);
myLinkedList.addAtTail(3);
myLinkedList.addAtIndex(1, 2); // 链表变为 1->2->3
myLinkedList.get(1); // 返回 2
myLinkedList.deleteAtIndex(1); // 现在,链表变为 1->3
myLinkedList.get(1); // 返回 3提示:
0 <= index, val <= 1000- 请不要使用内置的 LinkedList 库。
- 调用
get、addAtHead、addAtTail、addAtIndex和deleteAtIndex的次数不超过2000。
思路
- 先确定使用单链表,包含head和L(表示节点个数)
- addAtHead设置借用203.移除链表元素里dummy_head思想即可
- addAtIndex才是核心需要设置的东西
- 如果index为0,addAtIndex直接调用addAtHead;
- 如果index > self.L or index < 0 直接返回
- 如果index有效,寻找
index前一节点current,令current.next = newNode
- addAtTail直接调用addAtIndex就行,传入self.L,val
- deleteAtIndex难度不大
- Index == 0,直接跳过head即可
- Index >= self.L 直接返回
- Index有效时,找到index前一节点current,令current.next = current.next.next
另外,定义个函数__getIndexPreNode,用来找到index的前一个节点;因为有至少三个函数需要调用到它
def __getIndexPreNode(self, node, index):
current = node
for _ in range(index - 1):
current = current.next
return current__printList用来打印当前链表
def __printList(self, node):
caller_name = inspect.stack()[1].function
current = self.head
print(f"caller_name: {caller_name}")
while current.next:
print(current.val, end = ' ')
current = current.next
print(f", self.L {self.L}")
print(" ")代码
class ListNode:
def __init__(self,val = 0, next = None):
self.val = val
self.next = next
import inspect
class MyLinkedList:
def __init__(self):
self.head = ListNode()
self.L = 0
def __getIndexPreNode(self, node, index):
current = node
for _ in range(index - 1):
current = current.next
return current
def __printList(self, node):
caller_name = inspect.stack()[1].function
current = self.head
print(f"caller_name: {caller_name}")
while current.next:
print(current.val, end = ' ')
current = current.next
print(f", self.L {self.L}")
print(" ")
def get(self, index: int) -> int:
if index >= self.L or index < 0:
return -1
if index == 0:
return self.head.val
current = self.__getIndexPreNode(self.head, index)
# self.__printList(self.head)
return current.next.val
def addAtHead(self, val: int) -> None:
dummy_head = ListNode(val = val, next = self.head)
self.head = dummy_head
self.L += 1
# self.__printList(self.head)
def addAtTail(self, val: int) -> None:
self.addAtIndex(self.L, val)
def addAtIndex(self, index: int, val: int) -> None:
if index > self.L or index < 0:
return -1
if index ==0 :
return self.addAtHead(val)
current = self.__getIndexPreNode(self.head, index)
newNode = ListNode(val, current.next)
current.next = newNode
self.L += 1
# self.__printList(self.head)
def deleteAtIndex(self, index: int) -> None:
if index >= self.L or index < 0:
return
if index == 0:
self.head = self.head.next
self.L -= 1
return
current = self.__getIndexPreNode(self.head, index)
current.next = current.next.next
self.L -= 1
# self.__printList(self.head)
# Your MyLinkedList object will be instantiated and called as such:
# obj = MyLinkedList()
# param_1 = obj.get(index)
# obj.addAtHead(val)
# obj.addAtTail(val)
# obj.addAtIndex(index,val)
# obj.deleteAtIndex(index)改进版
- 其它思路不变,规定将head作为“dummy_head”
- 新增__getIndexNode函数,指获得Index对应节点
- 优点:代码更统一了,减少了需要额外讨论index==0以及index==self.L的情况!!所以,有dummy_head非常方便
- 因为head是dummy_head,所以__getIndexNode(index)得到的就是index的pre节点,和原版作用是一样的
- 所以get函数中需要传入head.next而不是head
一般涉及到 增删改操作,用虚拟头结点dummy_head都会方便很多, 如果只能查的话,用不用虚拟头结点都差不多。
代码二
class ListNode:
def __init__(self,val = 0, next = None):
self.val = val
self.next = next
import inspect
class MyLinkedList:
def __init__(self):
self.head = ListNode()
self.L = 0
def __getIndexNode(self, node, index):
current = node
for _ in range(index):
current = current.next
return current
def get(self, index: int) -> int:
if index >= self.L or index < 0:
return -1
# 注意,这里传入head.next而不是head
current = self.__getIndexNode(self.head.next, index)
return current.val
def addAtHead(self, val: int) -> None:
self.head.next = ListNode(val = val, next = self.head.next)
self.L += 1
def addAtTail(self, val: int) -> None:
self.addAtIndex(self.L, val)
def addAtIndex(self, index: int, val: int) -> None:
if index > self.L or index < 0:
return -1
current = self.__getIndexNode(self.head, index)
current.next = ListNode(val, current.next)
self.L += 1
# self.__printList(self.head)
def deleteAtIndex(self, index: int) -> None:
if index >= self.L or index < 0:
return
current = self.__getIndexNode(self.head, index)
current.next = current.next.next
self.L -= 1
# self.__printList(self.head)
# Your MyLinkedList object will be instantiated and called as such:
# obj = MyLinkedList()
# param_1 = obj.get(index)
# obj.addAtHead(val)
# obj.addAtTail(val)
# obj.addAtIndex(index,val)
# obj.deleteAtIndex(index)- 文章作者:
- Lthero博客
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