sap ariba network

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HDU 4280 island transport 37th ACM/ICPC Tianjin Network Competition 1003 questions (maximum flow template question, efficient sap template)

and cannot be used for data that is relatively large. Learned the maximum SAP stream Algorithm . Template question: /* Maximum Flow template SAP */ # Include # Include String . H> # Include # Include Using Namespace STD; Const Int Maxn = 100010 ; // Maximum number of points Const Int Maxm = 400010 ; // Maximum number of Edges Const Int INF = 0x3f3f3f ; Struct Node { Int From , T

Algorithm template--SAP Network maximum flow

Implementation function: The first line input n,m,s,t, representing this graph n points, M edge, the source point is S, the meeting point is T, then the T line enters the starting point, the end point and the weight of the edge; output maximum flowPrinciple: SAP network flow algorithm (see Baidu Encyclopedia, personally think this template has been good, although I have not considered the introduction of ad

Algorithm template--SAP Network maximum stream 2

begin -ans:=ans+; $ whileI Do the begin thetmp:=i; thei:=Pre[i]; theOP (i,tmp,-); - op (Tmp,i,aug); in End; theaug:=Maxlongint; the End; About Break ; the End; thep:=P^.next; the End; + ifFlag Thencontinue; -jl:=N

Shortest augmented path algorithm template for network flow (SAP)

) the { +j=Findalowarc (i); - if(j>=0) the {Bayipre[j]=i; theI=J; the if(i==t)//Updating residual networks - { -Delta=INF; the for(i=t;i!=s;i=Pre[i]) theDelta=min (delta,mp[pre[i]][i]); the for(i=t;i!=s;i=Pre[i]) themp[pre[i]][i]-=delta,mp[i][pre[i]]+=Delta; -flow+=Delta; the } the } the Else94 { the intX=relable (i);//re-label thenum[x]++; thenum[d[i]]--;98 i

Network Flow (iii)----maximum stream SAP algorithm

Template with HDU 3572 Task Schedule as an exampleCode:#include   Network Flow (iii)----maximum stream SAP algorithm

Algorithm template--SAP Network maximum stream 3 (recursive + adjacency table)

,l:longint;p:point; - begin - ifX=t Thenexit (flow); -dfs:=0;p: =A[x]; - whilePNil Do - begin in if(p^.w>0) and(D[x]= (d[p^.g]+1)) Then - begin toK:=dfs (P^.g,min (flow-dfs,p^.w)); + Dec (p^.w,k); - Inc (P^.ANTI^.W,K); the Inc (DFS,K); * ifDfs=flow Thenexit; $ End;Panax Notoginsengp:=P^.next; - End; the

Algorithm template--SAP Network maximum stream 3 (recursive + adjacency matrix)

Implementation features: Same as beforeCan see is a lot of beautiful program, code short more than one times, but the speed is and the original adjacency table A level (in the codevs above the grassland drainage that the running time comparison, but obviously the data is very big should be slower than that), the principle is similar, feel DFS inside the back and forth variable is amazing1 var2 S,t,i,j,k,l,m,n,ans:longint;3A:Array[0.. +,0.. +] ofLongint;4D,DV:Array[0..10000] ofLongint;5 functionm

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