[LeetCode] 148. Sort List_Middle tag: Linked List

Sort a linked list in O(n log n) time using constant space complexity.

Example 1:

Input: 4->2->1->3
Output: 1->2->3->4

Example 2:

Input: -1->5->3->4->0
Output: -1->0->3->4->5

这个题目有好几种做法，因为包含O(n*lg(n)) 的主要排序方法有三种， merger sort， quick sort， heap sort。

1. Merge sort

实际上是利用了分治的思想，找中点，然后两边分别排序，最后将它们merge起来即可。

找中点的程序可以参考[LeetCode] 876. Middle of the Linked List_Easy tag: Linked List。note: 注意找中点的时候，如果是偶数，应该选第一个

merge left， right的程序可以参考[LeetCode] 21. Merge Two Sorted Lists_Easy tag: Linked List。

 

code

# Definition for singly-linked list.
# class ListNode:
#     def __init__(self, x):
#         self.val = x
#         self.next = None

class Solution:
    def findMiddle(self, head):
        slow, fast = head, head
        while fast:
            if fast.next is None or fast.next.next is None:
                return slow
            slow = slow.next
            fast = fast.next.next
   def merge(self, l1, l2):
        dummy = ListNode(0)
        head = dummy
        while l1 and l2:
            if l1.val <= l2.val:
                head.next = l1
                l1 = l1.next
            else:
                head.next = l2
                l2 = l2.next
            head = head.next
        head.next = l1 if l1 else l2
        return dummy.next
    
    def sortList(self, head: ListNode) -> ListNode:
        # merge sort .   T: O(n * lg(n))
        if head is None or head.next is None:
            return head
        middle = self.findMiddle(head)
        right = self.sortList(middle.next)
        middle.next = None
        left = self.sortList(head)
        return self.merge(left, right)