给乱序的链表排序 · Sort List, 链表重排reorder list LoLn...

链表排序 · Sort List

[抄题]:

[思维问题]:

[一句话思路]:

[输入量]:空: 正常情况:特大:特小:程序里处理到的特殊情况:异常情况(不合法不合理的输入):

[画图]:

给乱序的链表排序 · Sort List, 链表重排reorder list LoLn...

quick sort 整体-局部(先找大小值,再局部递归) 里面不稳定 最坏n2, 最好 平均 nlgn  数组空间复杂度1(内部操作即可)

merge sort 局部-整体(先局部操作完,最后全部merge到一起) 里面稳定  数组空间复杂度n(需要新建数组)

[一刷]:

  1. 快慢指针的条件是 fast.next != null && fast. != null,  因为一次挪动了2步,要预防后面没有数。
  2. ListNode的返回类型一定要用新的tail指针。只对dummy操作,最后返回dummy.next的时候就变了。一个个点添加时,需要tail = tail.next;之后的操作都对下一个点进行
  3. tail.next = head1;剩余的一次性添加,加一次就行了 用if
  4. 有了tail之后,dummy.next = head1是多此一举,可以删除
  5. merge时只需要保证head1 head2插入时本身非空即可
  6. 每个函数里都要判空,包括merge函数
  7. 用left right节点来表示左右merge的结果

[总结]:

[复杂度]:Time complexity: O(n log n) Space complexity: O(1)

[英文数据结构,为什么不用别的数据结构]:

[其他解法]:

[Follow Up]:

[题目变变变]:

// version 1: Merge Sort
public class Solution {
private ListNode findMiddle(ListNode head) {
ListNode slow = head, fast = head.next;
while (fast != null && fast.next != null) {
fast = fast.next.next;
slow = slow.next;
}
return slow;
} private ListNode merge(ListNode head1, ListNode head2) {
ListNode dummy = new ListNode(0);
ListNode tail = dummy;
while (head1 != null && head2 != null) {
if (head1.val < head2.val) {
tail.next = head1;
head1 = head1.next;
} else {
tail.next = head2;
head2 = head2.next;
}
tail = tail.next;
}
if (head1 != null) {
tail.next = head1;
} else {
tail.next = head2;
} return dummy.next;
} public ListNode sortList(ListNode head) {
if (head == null || head.next == null) {
return head;
} ListNode mid = findMiddle(head); ListNode right = sortList(mid.next);
mid.next = null;
ListNode left = sortList(head); return merge(left, right);
}
}

 链表重排reorder list

[抄题]:

给定一个单链表L: L0→L1→…→Ln-1→Ln,

重新排列后为:L0→Ln→L1→Ln-1→L2→Ln-2→…

必须在不改变节点值的情况下进行原地操作。

[思维问题]:

后半部分的顺序倒过来了,要用reverse,没想到

[一句话思路]:

找中点-逆序-merge

[输入量]:空: 正常情况:特大:特小:程序里处理到的特殊情况:异常情况(不合法不合理的输入):

[画图]:

[一刷]:

  1. 返回类型是void,直接对dummy操作就行了
  2. dummy,corner case第一步就写 中间的连接符号是||
  3. 最开始的ListNode newHead = null;
  4. 不用返回dummy.next,可以随意对dummy操作。

[总结]:

[复杂度]:Time complexity: O() Space complexity: O()

[英文数据结构,为什么不用别的数据结构]:

[其他解法]:

[Follow Up]:

[题目变变变]:

/**
* Definition for ListNode.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int val) {
* this.val = val;
* this.next = null;
* }
* }
*/ public class Solution {
/*
* @param head: The head of linked list.
* @return: nothing
*/
//findMiddle
private ListNode reverse(ListNode head) {
if (head == null) {
return null;
}
ListNode newHead = null;
while(head != null) {
ListNode temp = head.next;
head.next = newHead;
newHead = head;
head = temp;
}
return newHead;
} private ListNode findMiddle(ListNode head) {
if (head == null) {
return head;
}
ListNode fast = head.next;
ListNode slow = head;
while(fast != null && fast.next != null) {
fast = fast.next.next;
slow = slow.next;
}
return slow;
}
//merge
private void merge(ListNode head1,ListNode head2) {
ListNode dummy = new ListNode(0);
int index = 0; while(head1 != null && head2 != null) {
if (index % 2 == 0) {
dummy.next = head1;
head1 = head1.next;
}
else {
dummy.next = head2;
head2 = head2.next;
}
dummy = dummy.next;
index++;
}
if (head1 != null) {
dummy.next = head1;
}
if (head2 != null) {
dummy.next = head2;
} //return dummy.next;
}
//reverse //reorder
public void reorderList(ListNode head) {
if (head == null || head.next == null) {
return ;
}
ListNode mid = findMiddle(head);
ListNode right = reverse(mid.next);
mid.next = null;
merge(head,right);
}
}
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