結果
問題 | No.1324 Approximate the Matrix |
ユーザー | ああいい |
提出日時 | 2022-04-14 11:14:20 |
言語 | PyPy3 (7.3.15) |
結果 |
TLE
|
実行時間 | - |
コード長 | 2,577 bytes |
コンパイル時間 | 140 ms |
コンパイル使用メモリ | 82,276 KB |
実行使用メモリ | 127,988 KB |
最終ジャッジ日時 | 2024-06-06 14:04:09 |
合計ジャッジ時間 | 4,769 ms |
ジャッジサーバーID (参考情報) |
judge2 / judge1 |
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テストケース
テストケース表示入力 | 結果 | 実行時間 実行使用メモリ |
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testcase_00 | AC | 37 ms
58,112 KB |
testcase_01 | AC | 38 ms
52,864 KB |
testcase_02 | AC | 37 ms
52,992 KB |
testcase_03 | AC | 440 ms
84,080 KB |
testcase_04 | AC | 578 ms
83,596 KB |
testcase_05 | TLE | - |
testcase_06 | -- | - |
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testcase_43 | -- | - |
testcase_44 | -- | - |
ソースコード
#その2 最初はコストが全部正の場合に使えるダイクストラ from heapq import heappush,heappop class MinCostFlow: inf = 10 ** 18 def __init__(self,N): self.N = N self.G = [[] for _ in range(N)] self.H = [0] * N self.edge = [] def add_edge(self,fr,to,cap,cost): e = [to,cap,cost,None] r = e[3] = [fr,0,-cost,e] self.G[fr].append(e) self.G[to].append(r) self.edge.append(e) def get_edge(self,i): return self.edge[i] def flow(self,s,t,f): N = self.N G = self.G inf = MinCostFlow.inf res = 0 H = self.H #ポテンシャル、コストが最初は正なので、最初は0でいい prev_v = [0] * N prev_e = [None] * N d0 = [inf] * N dist = [inf] * N while f: dist[:] = d0 dist[s] = 0 q = [(0,s)] while q: c,v = heappop(q) if dist[v] < c:continue if v == t:break r0 = dist[v] + H[v] for e in G[v]: w,cap,cost,_ = e if cap > 0 and r0 + cost - H[w] < dist[w]: dist[w] = r = r0 + cost - H[w] prev_v[w] = v prev_e[w] = e heappush(q,(r,w)) if dist[t] == inf: return None for i in range(N): H[i] += dist[i] #H = [h + d if d < inf else h for h,d in zip(H,dist)] d = f v = t while v != s: d = min(d,prev_e[v][1]) v = prev_v[v] f -= d res += d * H[t] v = t while v != s: e = prev_e[v] e[1] -= d e[3][1] += d v = prev_v[v] return res N,K = map(int,input().split()) A = list(map(int,input().split())) B = list(map(int,input().split())) P = [list(map(int,input().split())) for _ in range(N)] mincost = MinCostFlow(N + N + 2) s = N + N t = N + N + 1 for i in range(N): for j in range(N): v = N + j for k in range(1,min(A[i],B[j])+1): mincost.add_edge(i,v,1,2 * (k - 1) + 1 - 2 * P[i][j]) for i in range(N): mincost.add_edge(s,i,A[i],0) for j in range(N): mincost.add_edge(j + N,t,B[j],0) ans = 0 for i in range(N): for j in range(N): ans += P[i][j] ** 2 ans += mincost.flow(s,t,K) print(ans)