1171.remove-zero-sum-consecutive-nodes-from-linked-list-cn

题目地址

https://leetcode.com/problems/remove-zero-sum-consecutive-nodes-from-linked-list/

题目描述

Given the head of a linked list, we repeatedly delete consecutive sequences of nodes that sum to 0 until there are no such sequences.

After doing so, return the head of the final linked list.  You may return any such answer.

(Note that in the examples below, all sequences are serializations of ListNode objects.)

Example 1:

Input: head = [1,2,-3,3,1]
Output: [3,1]
Note: The answer [1,2,1] would also be accepted.
Example 2:

Input: head = [1,2,3,-3,4]
Output: [1,2,4]
Example 3:

Input: head = [1,2,3,-3,-2]
Output: [1]

Constraints:

The given linked list will contain between 1 and 1000 nodes.
Each node in the linked list has -1000 <= node.val <= 1000.

思路

这是一道很典型的求前缀和,如果前缀和出现过,那么相同前缀和之间的元素和为 0

这里可以用HashMapkey为前缀和,value为当前 Node,如果前缀和已经在 HashMap 中,删除两个相同前缀和之间的所有 Nodes, 同时删除 HashMap 中对应的前缀和(prefixSum) 和 Node

这里新建一个dummy node值为 0 (如下图例子中所示),相当与初始化 HashMap,把 0 放入HashMap中,遍历ListNode

  • 如果prefixSum已经出现在HashMap中,删除prefixSum相同的之间的所有nodes, 删除HashMap中对应的prefixSum

  • 如果prefixSum 不在HashMap 中,直接把prefixSum 和 当前Node 放入HashMap中。

举例:head = [1, 2, 3, -2, -3, 9]

1171 example remove zero

复杂度分析

  • 时间复杂度: O(n) - n is number of ListNode

  • 空间复杂度: O(n) - HashMap

关键点分析

  • 计算前缀和

  • HashMap保存前缀和 和 当前Node的mapping

  • 初始化HashMap,加入0 (这里用dummy node解决)

  • 删除前缀和相同之间的所有nodes, 删除HashMap中对应的前缀和

  • 返回dummy.next;.

代码 (Java/Python3)

Java Code

Python3 code

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