1019.Next Greater Node In Linked List(链表中的下一个更大节点)

Description

We are given a linked list with head as the first node. Let’s number the nodes in the list: node_1, node_2, node_3, … etc.

Each node may have a next larger value: for node_i, next_larger(node_i) is the node_j.val such that j > i, node_j.val > node_i.val, and j is the smallest possible choice. If such a j does not exist, the next larger value is 0.

Return an array of integers answer, where answer[i] = next_larger(node_{i+1}).

Note that in the example inputs (not outputs) below, arrays such as [2,1,5] represent the serialization of a linked list with a head node value of 2, second node value of 1, and third node value of 5.


给出一个以头节点 head 作为第一个节点的链表。链表中的节点分别编号为:node_1, node_2, node_3, … 。

每个节点都可能有下一个更大值(next larger value):对于 node_i,如果其 next_larger(node_i)node_j.val,那么就有 j > inode_j.val > node_i.val,而 j 是可能的选项中最小的那个。如果不存在这样的 j,那么下一个更大值为 0

返回整数答案数组 answer,其中 answer[i] = next_larger(node_{i+1})

注意:在下面的示例中,诸如 [2,1,5] 这样的输入(不是输出)是链表的序列化表示,其头节点的值为 2,第二个节点值为 1,第三个节点值为 5 。

题目链接:https://leetcode.com/problems/next-greater-node-in-linked-list/

Difficulty: medium

Example 1:

Input: [2,1,5]
Output: [5,5,0]

Example 2:

Input: [2,7,4,3,5]
Output: [7,0,5,5,0]

Example 3:

Input: [1,7,5,1,9,2,5,1]
Output: [7,9,9,9,0,5,0,0]

Note:

  • 1 <= node.val <= 10^9 for each node in the linked list.
  • The given list has length in the range [0, 10000].

分析

  • 用index模拟栈存储遍历链表的结果,每一项包含(每个节点val,在链表中的位置pos);
  • li存储每个节点对应的下一个更大值,初始为0;
  • 遍历链表,若当前head的值大于栈顶元素的val,则当前栈顶元素对应节点的下一个最大节点值为head的val,修改li;
  • 反之,head的val及其对应的pos入站;
  • 直至遍历完链表,返回li。

参考代码

#Definition for singly-linked list.
class ListNode(object):
def __init__(self, x):
    self.val = x
    self.next = None

class Solution(object):
def nextLargerNodes(self, head):
    h=head
    length=0
    while(h!=None):
        length+=1
        h=h.next
    if(length==0):
        return []
    li=[0]*length
    index=[]
    pos=0
    while head != None:
        if(len(index)!=0 and index[-1][0] < head.val):
            li[index[-1][1]]=head.val
            index=index[:-1]
        else:
            index.append((head.val,pos))
            head=head.next
            pos+=1
    return li
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