Sort a linked list in O(n log n) time using constant space complexity.
解题思路
可以利用归并排序解决该问题。普通的归并排序算法时间复杂度为O(nlogn),空间复杂度为O(n),因为需要建立两个数组来存储原来数组的值,这两个数组的长度加起来恰好为原数组的长度。但是对于链表可以省去复制两个已经排好序的数组的操作,从而使空间复杂度达到O(1)。
实现代码
/*****************************************************************
* @Author : 楚兴
* @Date : 2015/2/9 20:46
* @Status : Accepted
* @Runtime : 79 ms
******************************************************************/
#include <iostream>
using namespace std;
struct ListNode {
int val;
ListNode *next;
ListNode(int x) : val(x), next(NULL) {}
};
class Solution {
public:
ListNode * getMiddleOfList(ListNode *head)
{
ListNode *p = head;
ListNode *q = head;
while(q->next != NULL && q->next->next != NULL)
{
p = p->next;
q = q->next->next;
}
return p;
}
ListNode *mergeList(ListNode *head1, ListNode *head2)
{
ListNode *merge = new ListNode(-1);
ListNode *tmp = merge;
while(head1 != NULL && head2 != NULL)
{
if (head1->val <= head2->val)
{
tmp->next = head1;
head1 = head1->next;
}
else
{
tmp->next = head2;
head2 = head2->next;
}
tmp = tmp->next;
}
if(head1 == NULL)
{
tmp->next = head2;
}
else
{
tmp->next = head1;
}
return merge->next;
}
ListNode *sortList(ListNode *head) {
if (head == NULL || head->next == NULL)
{
return head;
}
ListNode *middle = getMiddleOfList(head);
ListNode *next = middle->next;
middle->next = NULL;
return mergeList(sortList(head), sortList(next));
}
};
void print(ListNode *head)
{
ListNode *tmp = head;
while(tmp)
{
cout<<tmp->val<<" ";
tmp = tmp->next;
}
cout<<endl;
}
int main()
{
ListNode* head = new ListNode(-1);
ListNode* node1 = new ListNode(8);
head->next = node1;
ListNode* node2 = new ListNode(5);
node1->next = node2;
ListNode* node3 = new ListNode(9);
node2->next = node3;
ListNode* node4 = new ListNode(0);
node3->next = node4;
ListNode* node5 = new ListNode(1);
node4->next = node5;
ListNode* node6 = new ListNode(3);
node5->next = node6;
ListNode* node7= new ListNode(6);
node6->next = node7;
ListNode* node8 = new ListNode(4);
node7->next = node8;
print(head);
Solution s;
s.sortList(head);
print(head);
}
原文:http://blog.csdn.net/foreverling/article/details/43839657