結果
| 問題 |
No.1324 Approximate the Matrix
|
| コンテスト | |
| ユーザー |
theory_and_me
|
| 提出日時 | 2020-11-29 03:14:30 |
| 言語 | PyPy3 (7.3.15) |
| 結果 |
TLE
|
| 実行時間 | - |
| コード長 | 2,961 bytes |
| コンパイル時間 | 202 ms |
| コンパイル使用メモリ | 81,940 KB |
| 実行使用メモリ | 90,464 KB |
| 最終ジャッジ日時 | 2024-09-19 23:32:27 |
| 合計ジャッジ時間 | 32,037 ms |
|
ジャッジサーバーID (参考情報) |
judge4 / judge5 |
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| ファイルパターン | 結果 |
|---|---|
| sample | AC * 3 |
| other | AC * 32 TLE * 10 |
ソースコード
#!/usr/local/bin/pypy
from heapq import heappush, heappop
class MinCostFlow:
INF = 10**18
def __init__(self, N):
self.N = N
self.G = [[] for i in range(N)]
def add_edge(self, fr, to, cap, cost):
forward = [to, cap, cost, None]
backward = forward[3] = [fr, 0, -cost, forward]
self.G[fr].append(forward)
self.G[to].append(backward)
def flow(self, s, t, f):
N = self.N; G = self.G
INF = MinCostFlow.INF
res = 0
H = [0]*N
prv_v = [0]*N
prv_e = [None]*N
d0 = [INF]*N
dist = [INF]*N
potential_flag = 0
while f:
if potential_flag:
dist[:] = d0
dist[s] = 0
que = [(0, s)]
while que:
c, v = heappop(que)
if dist[v] < c:
continue
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]
prv_v[w] = v; prv_e[w] = e
heappush(que, (r, w))
else:
dist[:] = d0
dist[s] = 0
update = 1
for _ in range(self.N):
for v in range(self.N):
for e in G[v]:
w, cap, cost, _ = e
if dist[v] != INF and cap > 0 and dist[v] + cost < dist[w]:
dist[w] = dist[v] + cost
prv_v[w] = v; prv_e[w] = e
update = 1
if not update:
break
potential_flag = 1
if dist[t] == INF:
return None
for i in range(N):
H[i] += dist[i]
d = f; v = t
while v != s:
d = min(d, prv_e[v][1])
v = prv_v[v]
f -= d
res += d * H[t]
v = t
while v != s:
e = prv_e[v]
e[1] -= d
e[3][1] += d
v = prv_v[v]
return res
import sys
readline = sys.stdin.readline
write = sys.stdout.write
N, K = map(int, readline().split())
A = list(map(int, readline().split()))
B = list(map(int, readline().split()))
P = []
for i in range(N):
P.append(list(map(int, readline().split())))
mcf = MinCostFlow(2*N+2)
s = 2*N
t = s+1
for i in range(N):
mcf.add_edge(s, i, A[i], 0)
S = 0
for i in range(N):
for j in range(N):
S += P[i][j] * P[i][j]
for k in range(A[i]):
mcf.add_edge(i, N+j, 1, 2*k+1-2*P[i][j])
for i in range(N):
mcf.add_edge(N+i, t, B[i], 0)
print(mcf.flow(s, t, K) + S)
theory_and_me