141. Linked List Cycle
Given a linked list, determine if it has a cycle in it.
To represent a cycle in the given linked list, we use an integer pos
which represents the position (0-indexed) in the linked list where tail connects to. If pos
is -1
, then there is no cycle in the linked list.
Example 1:
Input: head = [3,2,0,-4], pos = 1
Output: true
Explanation: There is a cycle in the linked list, where tail connects to the second node.
Example 2:
Input: head = [1,2], pos = 0
Output: true
Explanation: There is a cycle in the linked list, where tail connects to the first node.
Example 3:
Input: head = [1], pos = -1
Output: false
Explanation: There is no cycle in the linked list.
Follow up:
Can you solve it using O(1) (i.e. constant) memory?
给定一个链表,判断链表中是否有环。
为了表示给定链表中的环,我们使用整数 pos 来表示链表尾连接到链表中的位置(索引从 0 开始)。 如果 pos 是 -1,则在该链表中没有环。
快慢指针法。定义两个指针:慢指针每次走一步;快指针每次走两步。依次循环下去,如果链表存在环,那么快慢指针一定会有相等的时候。
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution(object):
def hasCycle(self, head):
"""
:type head: ListNode
:rtype: bool
"""
slow=fast=head
while fast and fast.next:
slow=slow.next
fast=fast.next.next
if slow==fast:
return True
return False
142. Linked List Cycle II
Given a linked list, return the node where the cycle begins. If there is no cycle, return null
.
To represent a cycle in the given linked list, we use an integer pos
which represents the position (0-indexed) in the linked list where tail connects to. If pos
is -1
, then there is no cycle in the linked list.
Note: Do not modify the linked list.
Example 1:
Input: head = [3,2,0,-4], pos = 1
Output: tail connects to node index 1
Explanation: There is a cycle in the linked list, where tail connects to the second node.
Example 2:
Input: head = [1,2], pos = 0
Output: tail connects to node index 0
Explanation: There is a cycle in the linked list, where tail connects to the first node.
Example 3:
Input: head = [1], pos = -1
Output: no cycle
Explanation: There is no cycle in the linked list.
Follow-up:
Can you solve it without using extra space?
给定一个链表,返回链表开始入环的第一个节点。 如果链表无环,则返回 null。
为了表示给定链表中的环,我们使用整数 pos 来表示链表尾连接到链表中的位置(索引从 0 开始)。 如果 pos 是 -1,则在该链表中没有环。
说明:不允许修改给定的链表。
在Linked List Cycle中,通过双指针方法来判断链表中是否存在环。在此基础上,我们来找出环的起始节点。如下图所示,假设链表的起始节点为A,环的起始节点为B,快慢指针在C处相遇。因为快指针的速度是慢指针的两倍,所以在相同时间内,它走过的路程是慢指针的两倍,而快指针走过的路程是(x+y+z+y),而慢指针走过的路程是(x+y),根据关系我们可以得到x+y+z+y = 2(x+y),也就是说x=z。此时快慢指针在C处,头指针在A处,而它们到B的距离相等,那么只要有两个指针分别从点A和点C出以相同的速度前进就会在点B处相遇,也就是找到了环的起始节点。
注:上面的情况是理想情况,实际上在点C相遇时,快指针可能已经绕着环走了好几圈了,如AB很长,而环很小的情况。假设走了n圈,此时等式为x+y+n(z+y) = 2(x+y),即x=(n-1)(y+z)+z,而从点C绕n-1圈后再走z的距离还是会跟从点A出发的指针在点B相遇。
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution(object):
def detectCycle(self, head):
"""
:type head: ListNode
:rtype: ListNode
"""
slow=fast=head
while fast and fast.next:
slow=slow.next
fast=fast.next.next
if slow==fast:
slow=head
while slow!=fast:
slow=slow.next
fast=fast.next
return slow
return None
160. Intersection of Two Linked Lists
Write a program to find the node at which the intersection of two singly linked lists begins.
For example, the following two linked lists:
begin to intersect at node c1.
Example 1:
Input: intersectVal = 8, listA = [4,1,8,4,5], listB = [5,0,1,8,4,5], skipA = 2, skipB = 3 Output: Reference of the node with value = 8 Input Explanation: The intersected node's value is 8 (note that this must not be 0 if the two lists intersect). From the head of A, it reads as [4,1,8,4,5]. From the head of B, it reads as [5,0,1,8,4,5]. There are 2 nodes before the intersected node in A; There are 3 nodes before the intersected node in B.
Example 2:
Input: intersectVal = 2, listA = [0,9,1,2,4], listB = [3,2,4], skipA = 3, skipB = 1 Output: Reference of the node with value = 2 Input Explanation: The intersected node's value is 2 (note that this must not be 0 if the two lists intersect). From the head of A, it reads as [0,9,1,2,4]. From the head of B, it reads as [3,2,4]. There are 3 nodes before the intersected node in A; There are 1 node before the intersected node in B.
Example 3:
Input: intersectVal = 0, listA = [2,6,4], listB = [1,5], skipA = 3, skipB = 2 Output: null Input Explanation: From the head of A, it reads as [2,6,4]. From the head of B, it reads as [1,5]. Since the two lists do not intersect, intersectVal must be 0, while skipA and skipB can be arbitrary values. Explanation: The two lists do not intersect, so return null.
Notes:
- If the two linked lists have no intersection at all, return
null
. - The linked lists must retain their original structure after the function returns.
- You may assume there are no cycles anywhere in the entire linked structure.
- Your code should preferably run in O(n) time and use only O(1) memory.
编写一个程序,找到两个单链表相交的起始节点。
如果有一个链表为空,返回NULL;先遍历链表得到A、B的长度,如果最后一个节点不同,返回NULL;使长的链表先走长度差步,然后一起往后走,直到节点相同返回即可。
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution(object):
def getIntersectionNode(self, headA, headB):
"""
:type head1, head1: ListNode
:rtype: ListNode
"""
if headA is None or headB is None:
return None
lenA=1
hA=headA
while hA.next !=None:
lenA+=1
hA=hA.next
lenB=1
hB=headB
while hB.next != None:
lenB+=1
hB=hB.next
if hA!=hB:
return None
hA=headA
hB=headB
if lenA>lenB:
for i in range(lenA-lenB):
hA=hA.next
else:
for i in range(lenB-lenA):
hB=hB.next
while hA!=hB:
hA=hA.next
hB=hB.next
return hA