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플로이드 #133
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플로이드 #133
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,50 @@ | ||
| let INF = 100_000 * 100 + 1 | ||
| let n = Int(readLine()!)! | ||
| let m = Int(readLine()!)! | ||
|
|
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| // 인접리스트 | ||
| var graph: [[(node: Int, weight: Int)]] = Array(repeating: [], count: n+1) | ||
| for _ in 0..<m { | ||
| let line = readLine()!.split(separator: " ").compactMap { Int($0) } | ||
| let (a, b, c) = (line[0], line[1], line[2]) | ||
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| graph[a].append((node: b, weight: c)) | ||
| } | ||
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| // dist 초기화 | ||
| var dist: [[Int]] = Array(repeating: Array(repeating: INF, count: n+1), count: n+1) | ||
| for i in 1...n { | ||
| dist[i][i] = 0 | ||
| } | ||
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| // graph 순회하면서 dist행렬 채우기 | ||
| for i in 1...n { | ||
| for edge in graph[i] { | ||
| let destination = edge.node | ||
| let weight = edge.weight | ||
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| dist[i][destination] = min(weight, dist[i][destination]) | ||
| } | ||
| } | ||
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| // 플로이드 | ||
| for k in 1...n { | ||
| for i in 1...n { | ||
| for j in 1...n { | ||
| dist[i][j] = min(dist[i][j], dist[i][k] + dist[k][j]) | ||
| } | ||
| } | ||
| } | ||
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| // 출력 | ||
| for i in 1...n { | ||
| var row: [String] = [] | ||
| for j in 1...n { | ||
| if dist[i][j] == INF { | ||
| row.append("0") | ||
| } else { | ||
| row.append(String(dist[i][j])) | ||
| } | ||
| } | ||
| print(row.joined(separator: " ")) | ||
| } | ||
|
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graph인접 리스트를 생성한 뒤 다시dist행렬로 옮기는 과정은 메모리와 시간 측면에서 비효율적입니다. 입력을 읽으면서 직접dist행렬의 값을 최소값으로 갱신하도록 수정하면 코드가 더 간결해집니다.