Rank |
Name |
Score |
Finish Time |
Q1 (3) |
Q2 (4) |
Q3 (5) |
Q4 (7) |
301 / 12353 |
YoungForest |
19 |
1:03:24 |
0:06:34 |
0:03:07 |
0:17:30 |
1:03:24 |
1436. Destination City
遍历每条边,统计各个点的出度。
时间复杂度: O(path.length * city[i].length),
空间复杂度: O(city.length * city[i].length).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
| class Solution { public: string destCity(vector<vector<string>>& paths) { unordered_map<string, int> outgoing; unordered_set<string> seen; for (const auto& v : paths) { ++outgoing[v[0]]; seen.insert(v[0]); seen.insert(v[1]); } for (const auto& s : seen) { if (outgoing[s] == 0) return s; } return ""; } };
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1437. Check If All 1’s Are at Least Length K Places Away
One pass. 记录上一个1出现的位置。
时间复杂度: O(N),
空间复杂度: O(1).
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| class Solution { const int INF = 0x3f3f3f3f; public: bool kLengthApart(vector<int>& nums, int k) { int last_one = -INF; for (int i = 0; i < nums.size(); ++i) { if (nums[i] == 1) { if (i - last_one - 1 >= k) { last_one = i; } else { return false; } } } return true; } };
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1438. Longest Continuous Subarray With Absolute Diff Less Than or Equal to Limit
双指针,用一个multiset维护子数组中的元素,由于treemap的特点,可以快速地锁定子数组中的最大最小值。
时间复杂度: O(N log N),
空间复杂度: O(N).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
| class Solution { public: int longestSubarray(vector<int>& nums, int limit) { multiset<int> subarray; size_t ans = 0; for (int r = 0, l = 0; r < nums.size(); ++r) { while (!subarray.empty() && nums[r] - *subarray.begin() > limit) { auto it = subarray.find(nums[l++]); subarray.erase(it); } while (!subarray.empty() && *subarray.rbegin() - nums[r] > limit) { auto it = subarray.find(nums[l++]); subarray.erase(it); } subarray.insert(nums[r]); ans = max(ans, subarray.size()); } return ans; } };
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1439. Find the Kth Smallest Sum of a Matrix With Sorted Rows
优先队列记录所有的候选者,从中选出sum最小的组合,并将变化后的可能加入优先队列。
需要注意的是,相同的候选者可能从不同的状态产生(如 001, 010 -> 011),这里我用了一个set和字符串变化以去重。
时间复杂度: O(k * m * m * log (nm)),
空间复杂度: O(n * m * m).
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| class Solution { string encode(const vector<int>& v) { string ans; for (int i : v) { ans.push_back('a' + i); } return ans; } public: int kthSmallest(vector<vector<int>>& mat, int k) { const int m = mat.size(); const int n = mat[0].size(); int rank = 0; priority_queue<pair<int, vector<int>>,std::vector<pair<int,vector<int>>>, std::greater<pair<int,vector<int>>>> pq; unordered_set<string> seen; int current_sum = 0; for (int i = 0; i < m; ++i) { current_sum += mat[i][0]; } { vector<int> index(m, 0); pq.push({current_sum, index}); seen.insert(encode(index)); } while (rank < k && !pq.empty()) { auto t = pq.top(); pq.pop(); current_sum = t.first; for (int i = 0; i < m; ++i) { ++t.second[i]; string x = encode(t.second); if (t.second[i] < n && seen.find(x) == seen.end()) { pq.push({current_sum + mat[i][t.second[i]] - mat[i][t.second[i]-1], t.second}); seen.insert(x); } --t.second[i]; } ++rank; } return current_sum; } };
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