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[DaleSeo] WEEK 02 Solutions #2675
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,37 @@ | ||
| // TC: O(n^2) | ||
| // SC: O(1) | ||
| impl Solution { | ||
| pub fn three_sum(mut nums: Vec<i32>) -> Vec<Vec<i32>> { | ||
| nums.sort_unstable(); | ||
| let n = nums.len(); | ||
| let mut triplets = Vec::new(); | ||
|
|
||
| for i in 0..n { | ||
| if i > 0 && nums[i] == nums[i - 1] { | ||
| continue; | ||
| } | ||
|
|
||
| let (mut low, mut high) = (i + 1, n - 1); | ||
| while low < high { | ||
| let three_sum = nums[i] + nums[low] + nums[high]; | ||
| if three_sum < 0 { | ||
| low += 1; | ||
| } else if three_sum > 0 { | ||
| high -= 1; | ||
| } else { | ||
| triplets.push(vec![nums[i], nums[low], nums[high]]); | ||
| low += 1; | ||
| high -= 1; | ||
| while low < high && nums[low] == nums[low - 1] { | ||
| low += 1; | ||
| } | ||
| while low < high && nums[high] == nums[high + 1] { | ||
| high -= 1; | ||
| } | ||
| } | ||
| } | ||
| } | ||
|
|
||
| triplets | ||
| } | ||
| } |
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🏷️ 알고리즘 패턴 분석
📊 시간/공간 복잡도 분석
피드백: 정렬 O(n log n) 이후 이중 루프와 투 포인터로 총 O(n^2) 시간으로 3합 탐색. 중복 제거를 잘 처리하고 있다.
개선 제안: 현재 구현이 적절해 보입니다.
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아 이렇게 왼쪽에 포인터를 두고 오른쪽으로 이동하면서
오른쪽에 위치한 부분배열의 left/right 포인터로 접근하는 방법도 있겠네요