565. Array Nesting
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Problem statement:
A zero-indexed array A consisting of N different integers is given. The array contains all integers in the range [0, N - 1].
Sets S[K] for 0 <= K < N are defined as follows:
S[K] = { A[K], A[A[K]], A[A[A[K]]], ... }.
Sets S[K] are finite for each K and should NOT contain duplicates.
Write a function that given an array A consisting of N integers, return the size of the largest set S[K] for this array.
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 array A is an integer within the range [0, N-1].
Solution:
This is a DFS solution. I solved it by employing the DFS template with a returned length of S[k].
For each S[k], it forms a circle. It means any element in this circle returns the same length.
For the purpose of pruning, we set a visited array to denote whether current element has been visited before.
Time complexity is O(n).
Space complexity is O(n).
class Solution { public: int arrayNesting(vector<int>& nums) { int largest = 0; vector<int> visited(nums.size(), 0); for(int i = 0; i < nums.size(); i++){ largest = max(largest, largest_nesting(nums, visited, nums[i], 0)); } return largest; } int largest_nesting(vector<int>& nums, vector<int>& visited, int idx, int size){ if(visited[nums[idx]] == 0){ visited[nums[idx]] = 1; return largest_nesting(nums, visited, nums[idx], size + 1); } else { return size; } } };
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