Poj1459power Network (dinic template)

Power Network

Time Limit: 2000MS		Memory Limit: 32768K
Total Submissions: 25832		Accepted: 13481

Description

A power network consists of nodes (power stations, consumers and dispatchers) connected by power transport lines. A node U is supplied with an amount s (U) >= 0 of the power, may produce an amount 0 <= P (u) <= pmax (U) of power, May consume a amount 0 <= C (u) <= min (S (u), Cmax (U)) of power, and may deliver an amount D (u) =s (u) +p (U)-C (U) of Powe R. The following restrictions Apply:c (U) =0 for any power station, p (U) =0 for any consumer, and P (u) =c (u) =0 for any Dispat Cher. There is at most one Power transport line (U,V) from a node u to a node V in the net; It transports an amount 0 <= L (u,v) <= Lmax (u,v) of the Power delivered by U v. Let Con=σuc (U) is the power consumed in the net. The problem is to compute the maximum value of Con.

An example was in Figure 1. The label X/y of power station U shows that P (u) =x and Pmax (U) =y. The label x/y of consumer U shows that C (U) =x and Cmax (U) =y. The label X/y of Power Transport Line (U,V) shows that L (u,v) =x and Lmax (u,v) =y. The power consumed is con=6. Notice that there is other possible states of the network but the value of Con cannot exceed 6.

Input

There is several data sets in the input. Each data set encodes a power network. It starts with four integers:0 <= n <= (nodes), 0 <= NP <= N (power stations), 0 <= NC <= N (consum ERS), and 0 <= m <= n^2 (Power transport Lines). Follow M data triplets (u,v) z, where u and v are node identifiers (starting from 0) and 0 <= z <= of Lmax (U,V). Follow NP doublets (U) z, where U is the identifier of a power station and 0 <= Z <= 10000 is the value of Pmax (U). The data set ends with NC doublets (u) z, where u are the identifier of a consumer and 0 <= Z <= 10000 is the value of Cmax (U). All input numbers is integers. Except the (u,v) z Triplets and the (U) z doublets, which do not contain white spaces, white spaces can occur freely in Inpu T. Input data terminate with an end of file and is correct.

Output

For each data set from the input, the program prints on the standard output the maximum amount of power that can is consum Ed in the corresponding network. Each result have an integral value and are printed from the beginning of a separate line.

Sample Input

2 1 1 2 (0,1) (1,0) ten (0) (1) 207 2 3 (0,0) 1 (0,1) 2 (0,2) 5 (1,0) 1 (8) (2,3) 1 (2,4) 7 (3,5) 2 (3,6) 5 (4,2)         7 (4,3 ) 5 (4,5) 1 (6,0) 5         (0) 5 (1) 2 (3) 2 (4) 1 (5) 4

Sample Output

156

Hint

The sample input contains the data sets. The first data set encodes a network with 2 nodes, power station 0 with Pmax (0) =15 and Consumer 1 with Cmax (1) =20, and 2 p Ower Transport lines with Lmax (0,1) =20 and Lmax (1,0) =10. The maximum value of Con is 15. The second data set encodes the network from Figure 1. The main learning dinic algorithm http://m.blog.csdn.net/blog/u012961561/38407763

1#include <iostream>2#include <cstring>3#include <algorithm>4#include <cstdio>5#include <stdio.h>6#include <queue>7#include <vector>8 using namespacestd;9 Const intMAX = the;Ten Const intINF =0x3f3f3f3f; One structEdge A { -     intTo,cap; -Edge (intVintW): to (v), Cap (w) {} the }; - intn,m,np,nc,s,t; -vector<int>G[max]; -Vector<edge>Edge; + intD[max],cur[max]; - voidAddedge (int  from,intTo,intcap) + { A Edge.push_back (Edge (To,cap)); atEdge.push_back (Edge ( from,0)); -     intID =edge.size (); -g[ from].push_back (ID-2); -G[to].push_back (ID-1); -  - } in BOOLBFS () - { tomemset (D,0,sizeof(d)); +queue<int>Q; - Q.push (s); theD[s] =1; *      while(!q.empty ()) $     {Panax Notoginseng         intx =Q.front (); - Q.pop (); the         if(x = =t) +             return true; A         intLen =g[x].size (); the          for(inti =0; i < Len; i++) +         { -Edge e =edge[G[x][i]]; $             if(D[e.to] = =0&& E.cap >0) $             { -D[e.to] = D[x] +1; - Q.push (e.to); the             } -         }Wuyi     } the     return false; - } Wu intDfsintXinta) - { About     if(x = = T | | a = =0) $         returnA; -     intFlow =0, F; -      for(int& i = cur[x]; I < (int) G[x].size (); i++) -     { Aedge& e = edge[G[x][i]];//If this is a reference +          if(D[x] +1= = D[e.to] && (f = DFS (E.to,min (A,E.CAP))) >0) the          { -E.cap-=F; $edge[G[x][i] ^1].cap + =F; theFlow + =F; theA-=F; the              if(A = =0) the              { -                   Break; in              } the          } the     } About     returnflow; the } the intMaxflow () the { +     intFlow =0; -      while(BFS ()) the     {Bayimemset (cur,0,sizeof(cur)); theFlow + =DFS (s,inf); the     } -     returnflow; - } the intMain () the { the     Charstr[ -]; the     intu,v,w; -      while(SCANF ("%d%d%d%d", &n,&np,&nc,&m)! =EOF) the     { thes = n +1; thet = n +2;94          for(inti =0; I < n +2; i++) the g[i].clear (); the edge.clear (); the          for(inti =1; I <= m; i++)98         { Aboutscanf"%s", str); -SSCANF (str,"%*c%d%*c%d%*c%d",&u,&v,&W);101 Addedge (u,v,w);102         }103          for(inti =0; I < NP; i++)104         { thescanf"%s", str);106SSCANF (str,"%*c%d%*c%d",&u,&W);107 Addedge (s,u,w);108         }109          for(inti =0; I < NC; i++) the         {111scanf"%s", str); theSSCANF (str,"%*c%d%*c%d",&u,&W);113 Addedge (u,t,w); the         } theprintf"%d\n", Maxflow ()); the     }117 118     return 0;119}

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Poj1459power Network (dinic template)