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430. Flatten a Multilevel Doubly Linked List

Leetcode Linked List Depth-First Search

You are given a doubly linked list which in addition to the next and previous pointers, it could have a child pointer, which may or may not point to a separate doubly linked list. These child lists may have one or more children of their own, and so on, to produce a multilevel data structure, as shown in the example below.

Flatten the list so that all the nodes appear in a single-level, doubly linked list. You are given the head of the first level of the list.

Example 1:

Input: head = [1,2,3,4,5,6,null,null,null,7,8,9,10,null,null,11,12]

Output: [1,2,3,7,8,11,12,9,10,4,5,6]

Explanation:

The multilevel linked list in the input is as follows:

After flattening the multilevel linked list it becomes:

Example 2:

Input: head = [1,2,null,3]
Output: [1,3,2]
Explanation:

The input multilevel linked list is as follows:

  1---2---NULL
  |
  3---NULL

Example 3:

Input: head = []
Output: []

How multilevel linked list is represented in test case:

We use the multilevel linked list from Example 1 above:

 1---2---3---4---5---6--NULL
         |
         7---8---9---10--NULL
             |
             11--12--NULL
The serialization of each level is as follows:

[1,2,3,4,5,6,null]
[7,8,9,10,null]
[11,12,null]
To serialize all levels together we will add nulls in each level to signify no node connects to the upper node of the previous level. The serialization becomes:

[1,2,3,4,5,6,null]
[null,null,7,8,9,10,null]
[null,11,12,null]
Merging the serialization of each level and removing trailing nulls we obtain:

[1,2,3,4,5,6,null,null,null,7,8,9,10,null,null,11,12]

Constraints:

  • Number of Nodes will not exceed 1000.
  • 1 <= Node.val <= 10^5

分析

根据这道题目的意思,把链表拉平就意味着在遍历链表时,如果遇到子链表(child != null),则优先遍历子链表。遍历完所有子链表之后,回来遍历剩下的链表。可以用栈保存暂时还未遍历的链表。

java public Node flatten(Node head) { if (head == null) return null; Stack<Node> stack = new Stack<>(); // 遍历链表 Node root = new Node(), cur = root, prev = root; while (head != null) { cur.next = head; cur.child = null; head.prev = cur; prev = cur; cur = cur.next; // 如果有子链表,先保存到栈中 if (head.child == null) { head = head.next; } else { stack.push(head.next); head = head.child; } } // 遍历栈中的链表 while (!stack.isEmpty()) { Node node = stack.pop(); while (node != null) { cur.next = node; node.prev = cur; node = node.next; prev = cur; cur = cur.next; } } cur.prev = prev; // 别忘了,把链表头节点的prev设置为null root.next.prev = null; return root.next; }