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[leetcode] 565. Array Nesting

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Description A zero-indexed array A of length N contains all integers from 0 to N-1. Find and return the longest length of set S, where S[i] = {A[i], A[A[i]], A[A[A[i]]], … } subjected to the rule below. Suppose the first element in S star


Description

A zero-indexed array A of length N contains all integers from 0 to N-1. Find and return the longest length of set S, where S[i] = {A[i], A[A[i]], A[A[A[i]]], … } subjected to the rule below.

Suppose the first element in S starts with the selection of element A[i] of index = i, the next element in S should be A[A[i]], and then A[A[A[i]]]… By that analogy, we stop adding right before a duplicate element occurs in S.
Example 1:

Input: A = [5,4,0,3,1,6,2]
Output: 4
Explanation:
A[0] = 5, A[1] = 4, A[2] = 0, A[3] = 3, A[4] = 1, A[5] = 6, A[6] = 2.

One of the longest S[K]:
S[0] = {A[0], A[5], A[6], A[2]} = {5, 6, 2, 0}

Note:

  • N is an integer within the range [1, 20,000].
  • The elements of A are all distinct.
  • Each element of A is an integer within the range [0, N-1].
  • 分析

    • 其实对于遍历过的数字,我们不用再将其当作开头来计算了,而是只对于未遍历过的数字当作嵌套数组的开头数字,
    • 不过在进行嵌套运算的时候,并不考虑中间的数字是否已经访问过,而是只要找到和起始位置相同的数字位置,
    • 然后更新结果res。

    代码

    class Solution {
    public:
    int arrayNesting(vector<int>& nums) {
    int n=nums.size();
    int res=0;
    vector<bool> visited(n,false);
    for(int i=0;i<n;i++){
    if(visited[i]){
    continue;
    }
    res=max(res,solve(nums,i,visited));
    }
    return res;
    }

    int solve(vector<int>& nums,int start, vector<bool>& visited){
    int i=start;
    int cnt=0;
    while(cnt==0||i!=start){
    visited[i]=true;
    i=nums[i];
    ++cnt;
    }
    return cnt;
    }
    };

    参考文献

    ​​[LeetCode] Array Nesting 数组嵌套​​


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