問題描述
- 在 O(n log n) 時間複雜度和常數級空間複雜度下,對鏈表進行排序。
示例 1:
輸入: 4->2->1->3
輸出: 1->2->3->4
示例 2:
輸入: -1->5->3->4->0
輸出: -1->0->3->4->5
問題分析
符合時間限制的有快排、堆排和歸排,這裏參考大神代碼選擇歸排
幾天後發現這樣快很多
代碼
#歸排
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def sortList(self, head):
"""
:type head: ListNode
:rtype: ListNode
"""
if head is None or head.next is None:
return head
mid = self.get_mid(head)
l = head
r = mid.next
mid.next = None
return self.merge(self.sortList(l), self.sortList(r))
def merge(self, p, q):
tmp = ListNode(0)
h = tmp
while p and q:
if p.val < q.val:
h.next = p
p = p.next
else:
h.next = q
q = q.next
h = h.next
if p:
h.next = p
if q:
h.next = q
return tmp.next
def get_mid(self, node):
if node is None:
return node
fast = slow = node
while fast.next and fast.next.next:
slow = slow.next
fast = fast.next.next
return slow
#轉成列表再快排再轉回來
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def sortList(self, head):
"""
:type head: ListNode
:rtype: ListNode
"""
node_list=[]
while head!=None:
node_list.append(head.val)
head=head.next
node_list.sort()
tem=ListNode(1)
p=tem
for i in node_list:
new_node=ListNode(i)
p.next=new_node
p=p.next
return tem.next