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

法I:快排。快排的难点在于切分序列。从头扫描,碰到>=target的元素,停止;从第二个字串扫描,碰到<=target的元素停止;交换这两个元素。这样的好处是:当数据元素都相同时,也能控制在logn次递归(否则需要O(n))。另外,要注意避免子序列只剩两个相等元素时的死循环。

/**
* Definition for singly-linked list.
* struct ListNode {
* int val;
* ListNode *next;
* ListNode(int x) : val(x), next(NULL) {}
* };
*/
class Solution {
public:
ListNode* sortList(ListNode* head) {
if(head == NULL || head->next==NULL) return head; //only one element ListNode* dummyHead1 = new ListNode();
ListNode* dummyHead2 = new ListNode();
ListNode* fastNode = dummyHead1;
ListNode* slowNode = dummyHead1;
ListNode* cur1, *cur2;
int tmp;
dummyHead1->next = head; //fast, slow pointer to find the middle point
while(fastNode->next){
fastNode = fastNode->next;
if(fastNode->next) fastNode = fastNode->next;
else break;
slowNode = slowNode->next; //slowNode always point to the element before center(odd number)
// or the left center (even number)
} //partition the sequence into two halves
dummyHead2->next = slowNode->next;
slowNode->next=NULL;
cur1 = dummyHead1;
cur2 = dummyHead2->next;
while(cur1->next&&cur2->next){
//stop when find an element in first half, value of whihch >= target
while(cur1->next && cur1->next->val < dummyHead2->next->val) cur1 = cur1->next;
//stop when find an element in second half, value of which <= target
while(cur2->next && cur2->next->val > dummyHead2->next->val) cur2 = cur2->next;
if(!cur1->next || !cur2->next ) break;
tmp = cur1->next->val;
cur1->next->val = cur2->next->val;
cur2->next->val = tmp;
cur1 = cur1->next;
cur2 = cur2->next; }
while(cur1->next){
//stop when find an element in first half, value of which > target
//>= may lead to endless recursion if two equal elements left
while(cur1->next && cur1->next->val <= dummyHead2->next->val) cur1 = cur1->next;
if(!cur1->next) break;
cur2->next = cur1->next;
cur1->next = cur1->next->next;
cur2 = cur2->next;
cur2->next = NULL;
}
while(cur2->next){
//stop when find an element in second half, value of which < target
//<= may lead to endless recursion if two equal elements left
while(cur2->next && cur2->next->val >= dummyHead2->next->val) cur2 = cur2->next;
if(!cur2->next) break;
cur1->next = cur2->next;
cur2->next = cur2->next->next;
cur1 = cur1->next;
cur1->next = NULL;
} //cascade two halves
head = sortList(dummyHead1->next);
cur2 = sortList(dummyHead2->next);
if(head==NULL) return cur2;
cur1 = head;
while(cur1->next){
cur1 = cur1->next;
}
cur1->next = cur2;
return head;
} };

法II: 归并排序。由于是List,归并排序的好处是不用额外申请O(n)的空间

/**
* Definition for singly-linked list.
* struct ListNode {
* int val;
* ListNode *next;
* ListNode(int x) : val(x), next(NULL) {}
* };
*/
class Solution {
public:
ListNode* sortList(ListNode* head) {
if(head == NULL || head->next==NULL) return head; //only one element ListNode* dummyHead1 = new ListNode();
ListNode* dummyHead2 = new ListNode();
ListNode* fastNode = dummyHead1;
ListNode* slowNode = dummyHead1;
ListNode* cur1, *cur2, *cur;
dummyHead1->next = head; //fast, slow pointer to find the middle point
while(fastNode->next){
fastNode = fastNode->next;
if(fastNode->next) fastNode = fastNode->next;
else break;
slowNode = slowNode->next; //slowNode always point to the element before center(odd number)
// or the left center (even number)
}
dummyHead2->next = slowNode->next;
slowNode->next = NULL; //recursion
cur1 = sortList(dummyHead1->next);
cur2 = sortList(dummyHead2->next); //merge
cur = dummyHead1;
while(cur1 && cur2){
if(cur1->val <= cur2->val){
cur->next = cur1;
cur1 = cur1->next;
}
else{
cur->next = cur2;
cur2 = cur2->next;
}
cur = cur->next;
}
if(cur1){
cur->next = cur1;
}
else{
cur->next = cur2;
}
return dummyHead1->next;
} };

148. Sort List (List)的更多相关文章

  1. C#版 - LeetCode 148. Sort List 解题报告(归并排序小结)

    leetcode 148. Sort List 提交网址: https://leetcode.com/problems/sort-list/  Total Accepted: 68702 Total ...

  2. 148. Sort List - LeetCode

    Solution 148. Sort List Question 题目大意:对链表进行排序 思路:链表转为数组,数组用二分法排序 Java实现: public ListNode sortList(Li ...

  3. [LeetCode] 148. Sort List 链表排序

    Sort a linked list in O(n log n) time using constant space complexity. Example 1: Input: 4->2-> ...

  4. Java for LeetCode 148 Sort List

    Sort a linked list in O(n log n) time using constant space complexity. 解题思路: 归并排序.快速排序.堆排序都是O(n log ...

  5. 148. Sort List -- 时间复杂度O(n log n)

    Sort a linked list in O(n log n) time using constant space complexity. 归并排序 struct ListNode { int va ...

  6. 148. Sort List

    Sort a linked list in O(n log n) time using constant space complexity. 代码如下: /** * Definition for si ...

  7. leetcode 148. Sort List ----- java

    Sort a linked list in O(n log n) time using constant space complexity. 排序,要求是O(nlog(n))的时间复杂度和常数的空间复 ...

  8. [LeetCode] 148. Sort List 解题思路

    Sort a linked list in O(n log n) time using constant space complexity. 问题:对一个单列表排序,要求时间复杂度为 O(n*logn ...

  9. 【leetcode】148. Sort List

    Sort a linked list in O(n log n) time using constant space complexity. 链表排序可以用很多方法,插入,冒泡,选择都可以,也容易实现 ...

  10. 148. Sort List (java 给单链表排序)

    题目:Sort a linked list in O(n log n) time using constant space complexity. 分析:给单链表排序,要求时间复杂度是O(nlogn) ...

随机推荐

  1. c++重在运算符

    运算符函数的定义与其他函数的定义类似,惟一的区别是运算符函数的函数名是由关键字operator和其后要重载的运算符符号构成的.运算符函数定义的一般格式如下: <返回类型说明符> opera ...

  2. linux多线程并发

    多线程并发 进程和线程的概念 进程 进程包括程序映象.地址空间等要素.内核采用PCB来管理进程.进程是内核进行调度的基本单元,每个独立的进程都有自己的代码段.数据段以及堆栈,它们有自己的虚拟地址空间, ...

  3. 项目代码部署百度云(使用git部署,node环境)

    学习做了一个小demo,总是在自己的电脑,和局域网上运行很没意思,现在就做点有意思的事情,将代码部署百度云. 1)首先你得进入百度云(直接百度,先要注册一个账号) 2)点击那个“应用引擎”,就会进入 ...

  4. shell三剑客之find

    查找以ini结尾的文件[root@iZj6cbstl2n6r280a27eppZ app]# find / -name "*.ini"/app/myblog/config.ini ...

  5. Nginx 之:nginx.conf结构

    nginx.conf文件结构如下: ..... events { ...... } http{ .... server{ .... } server{ listen  192.168.0.12:80; ...

  6. 经典的CNN网络模型概述

    接下来几天,将把自己最近读的关于图片分类的经典网络模型论文整理一遍.大概做个摘要.这些论文都是在imagenet上1.2 million数据训练出来的. 由于从这些预训练的网络训练的deep feat ...

  7. 简单租房子实例详解---(session、ajax、json前后台数据处理、分页)

    本次实例我们结合session.ajax.json前后台数据处理.分页技术做一个租房信息系统 一共有五个界面:包括 管理员和用户的登录界面 登录界面的后台 <?php session_start ...

  8. StringsUtil字符串工具类---灵活截取

    package com.js.ai.modules.pointwall.interfac; import javax.print.attribute.standard.MediaName; publi ...

  9. 如何实现查询显示N个工作日有效期内的数据

    功能点分析:要显示N个工作日有效期内的数据,需要考虑: 1. 可以给每条数据增加一个有效期时间字段,查询时只显示有效期之前的数据,如有效期为七天,数据的创建时间是2014-07-21,那七个工作日有效 ...

  10. isset ,empty,is_null 区别

    <?php $a = ''; $b = ""; $c = null; $d = array(); $e = ' '; $f = 0; $g = "0"; ...