方法1:插入方法进行改进
- class Solution {
- public ListNode sortList(ListNode head) {
- /*
- 想法:设置两个指针first,last分别指向当前有序子链表的头和尾节点;
- 并遍历链表,当遍历到的节点值大于last的值时,就将该节点插入到有序子链表表尾
- 值小于first时,插入到子链表表头,处于二者中间时,就遍历进行插入
- */
- if(head == null)
- return null;
- ListNode first = head,last = head;
- ListNode p = head.next;
- head.next = null;
- while(p != null){
- ListNode temp = p.next;
- if(p.val >= last.val){
- //插入表尾
- last.next = p;
- p.next = null;
- last = p;
- }else if(p.val <= first.val){
- //插入表头
- p.next = first;
- first = p;
- }else{
- // 遍历进行插入
- for(ListNode q = first;q != last ;q = q.next){
- if(q.next.val > p.val){
- p.next = q.next;
- q.next = p;
- break;
- }
- }
- }
- p = temp;
- }
-
- return first;
- }
- }
方法2:自顶向下的归并排序
归并排序的时间复杂度问题:在每一层中进行寻找中间节点+有序链表进行两两合并都需要2n,而归并排序总共会进行logn层处理,因此最终的时间复杂度就是O(nlogn)。
- class Solution {
- public ListNode sortList(ListNode head) {
- /*
- 自顶向下的归并排序:首先寻找中间节点,在利用归并排序将当前需要排序的链表进行两两分别排序,
- 最后在通过合并两个有序链表的方式以及递归的方式进行排序。
- */
- if(head == null)
- return null;
- return sortSubList(head,null);
- }
-
- //将链表进行排序(tail指向)
- public ListNode sortSubList(ListNode head,ListNode tail){
- if(head.next == null)
- return head;
- if(head.next == tail){
- head.next = null;
- return merge(head,tail);
- }
- //先找到链表的中间节点
- ListNode slow = head,fast = head.next.next;
- while(fast != tail){
- slow = slow.next;
- fast = fast.next;
- if(fast != tail)
- fast = fast.next;
- }
- //将左边的子链表表尾指向空指针,右边子链表表尾本就是空指针
- ListNode subHead2 = slow.next;
- slow.next = null;
- ListNode head1 = sortSubList(head,slow);
- ListNode head2 = sortSubList(subHead2,tail);
- return merge(head1,head2);
- }
-
- //将两个子链表进行排序并合并返回合并后的链表头节点
- //判断是否到了尾,即是否到了空节点即可
- public ListNode merge(ListNode head1,ListNode head2){
- ListNode head = new ListNode(-1,null);
- ListNode temp = head,temp1 = head1,temp2 = head2;
- while(temp1 != null && temp2 != null){
- if(temp1.val < temp2.val){
- temp.next = temp1;
- temp1 = temp1.next;
- }else{
- temp.next = temp2;
- temp2 = temp2.next;
- }
- temp = temp.next;
- }
-
- while(temp1 != null){
- temp.next = temp1;
- temp1 = temp1.next;
- temp = temp.next;
- }
-
- while(temp2 != null){
- temp.next = temp2;
- temp2 = temp2.next;
- temp = temp.next;
- }
-
- return head.next;
- }
- }
方法3:自底向上的归并排序
- class Solution {
- public ListNode sortList(ListNode head) {
- /*
- 自顶向下的归并排序:首先寻找中间节点,在利用归并排序将当前需要排序的链表进行两两分别排序,
- 最后在通过合并两个有序链表的方式以及递归的方式进行排序。
- */
- if(head == null)
- return null;
- //遍历链表获取链表长度
- int length = 0;
- ListNode p = head;
- while(p != null){
- length++;
- p = p.next;
- }
- ListNode hair = new ListNode(-1,head);
- for(int subLength = 1;subLength < length;subLength *= 2){
- //开始遍历链表,获取子链表,并两两合并
- ListNode pre = hair, cur = hair.next;
- while(cur != null){
- //获取一个的子链表
- ListNode head1 = cur;
- for(int i = 1;i < subLength && cur.next !=null;i++){
- cur = cur.next;
- }
- ListNode head2 = cur.next;
- cur.next = null;
- cur = head2;
- //再获取一个子链表
- for(int i = 1;i < subLength && cur!=null;i++){
- cur = cur.next;
- }
- if(cur != null){
- ListNode temp = cur.next;
- cur.next = null;
- cur = temp;
- }
- ListNode mergeResult = merge(head1,head2);
- //pre指针指向当前两个子链表的前面的一个节点
- pre.next = mergeResult;
- while(pre.next != null)
- pre = pre.next;
- }
- }
-
- return hair.next;
- }
-
-
-
- //将两个子链表进行排序并合并返回合并后的链表头节点
- //判断是否到了尾,即是否到了空节点即可
- public ListNode merge(ListNode head1,ListNode head2){
- ListNode head = new ListNode(-1,null);
- ListNode temp = head,temp1 = head1,temp2 = head2;
- while(temp1 != null && temp2 != null){
- if(temp1.val < temp2.val){
- temp.next = temp1;
- temp1 = temp1.next;
- }else{
- temp.next = temp2;
- temp2 = temp2.next;
- }
- temp = temp.next;
- }
-
- while(temp1 != null){
- temp.next = temp1;
- temp1 = temp1.next;
- temp = temp.next;
- }
-
- while(temp2 != null){
- temp.next = temp2;
- temp2 = temp2.next;
- temp = temp.next;
- }
-
- return head.next;
- }
- }