void QPBO<REAL>::Solve()
{
Node* i;
maxflow();
if (stage == 0)
{
if (all_edges_submodular)
{
for (i=nodes[0]; i<node_last[0]; i++)
{
i->label = what_segment(i);
}
return;
}
TransformToSecondStage(true);
maxflow(true);
}
for (i=nodes[0]; i<node_last[0]; i++)
{
i->label = what_segment(i);
if (i->label == what_segment(GetMate0(i))) i->label = -1;
}
}
int main () {
int cases = 0;
int a,b,c,i,j;
scanf("%d",&V);
while( V > 0){
scanf("%d %d %d",&s,&t,&E);
s -=1;
t -=1;
memset(FLOW, 0, sizeof(FLOW));
memset(queue, 0, sizeof(queue));
memset(F, 0, sizeof(F));
int v1, v2, val;
int i;
for(i=0; i<E; i++) {
scanf("%d %d %d",&v1,&v2,&val);
FLOW[v2-1][v1-1] += val;
FLOW[v1-1][v2-1] += val;
}
maxflow();
printf("Network %d\nThe bandwidth is %d.\n\n",++cases,fTotal);
scanf("%d",&V);
}
return 0;
}
void solve() {
int i,j;
scanf("%d %d %d %d",&N,&s,&t,&L);
if(N>MAX) printf("increase MAX to %d and recompile\n",n),exit(1);
for(i=0;i<N;i++) for(j=0;j<N;j++) scanf("%d",&c[i][j]);
if(L==1) {
/* we can only connect source to sink */
printf("%.3f\n",c[s][t]/8.);
} else if(L==2) {
/* we can connect source to sink, as well as having one intermediate node */
for(i=c[s][t],j=0;j<N;j++) if(j!=s && j!=t) i+=c[s][j]<c[j][t]?c[s][j]:c[j][t];
printf("%.3f\n",i/8.);
} else {
/* transform graph: split each node u, call them u' and u'' */
n=N*2;
for(i=0;i<n;i++) for(j=0;j<n;j++) f[i][j]=0;
/* for each edge source->v, add edge source->v' */
for(i=0;i<N;i++) if(c[s][i]) f[s*2][i*2]=c[s][i];
/* for each edge v->sink, add edge v''->sink */
for(i=0;i<N;i++) if(c[i][t]) f[i*2+1][t*2]=c[i][t];
/* for each edge u->v where none are source or sink, add edge u'->v'' */
for(i=0;i<N;i++) if(i!=s && i!=t) for(j=0;j<N;j++) if(j!=s && j!=t && c[i][j])
f[i*2][j*2+1]=c[i][j];
/* for each edge u that isn't source of sink, add edge u'->u'' with INF cap */
for(i=0;i<N;i++) if(i!=s && i!=t) f[i*2][i*2+1]=INF;
/* flow now returns the correct answer */
printf("%.3f\n",maxflow(s*2,t*2)/8.);
}
}
int _tmain(int argc, _TCHAR* argv[])
{
FlowNetwork g(6);
int E;
cin >> E;
for (int i = 0; i < E; i++)
{
int v, w;
double we;
cin >> v >> w >> we;
FlowEdge eIn(v, w, we);
g.addEdge(eIn);
}
g.print();
FordFulkerson maxflow(g, 0, 5);
cout << endl;
for (FlowEdge e : g.allEdge())
cout << e.from() << "-->" << e.to() << " capacity:" << e.capacityGet() << " flow:" << e.flowGet()<<endl;
cout << endl << "Max flow value:" << maxflow.valueGet()<<endl;
system("pause");
return 0;
}
/*
void output()
{
int ts , te ;
for( int i = 1 ; i <= m ; ++ i )
{
if( node[ i ].f - node[ i ].c < 0 )
{ tx = }
else
}
}
*/
int main()
{
init();
printf( "%d\n" , maxflow( n , 1 , n ) );
//output();
return 0;
}
bool build(int n,int m,double mid)
{
init(n);
double flow = 0.0;
for(int i = 1 ; i <= m; ++i)
{
edge & e = a[i];
if(e.cap + EPS < mid) mcut[sz++] = e.num,flow += e.cap - m;
else addedge(e.from, e.to,e.cap - m,e.num);
}
return dcmp(flow + maxflow(1,n)) > 0;
}
int main(void)
{
int edges[MAXEDGES*2], ne, nv;
int capacity[MAXEDGES], flow[MAXEDGES], cut[MAXVERTICES];
int source, sink, p, q, i, j, ret;
/*
* Use this algorithm to find a maximal complete matching in a
* bipartite graph.
*/
ne = 0;
nv = 0;
source = nv++;
p = nv;
nv += 5;
q = nv;
nv += 5;
sink = nv++;
for (i = 0; i < 5; i++) {
capacity[ne] = 1;
ADDEDGE(source, p+i);
}
for (i = 0; i < 5; i++) {
capacity[ne] = 1;
ADDEDGE(q+i, sink);
}
j = ne;
capacity[ne] = 1; ADDEDGE(p+0,q+0);
capacity[ne] = 1; ADDEDGE(p+1,q+0);
capacity[ne] = 1; ADDEDGE(p+1,q+1);
capacity[ne] = 1; ADDEDGE(p+2,q+1);
capacity[ne] = 1; ADDEDGE(p+2,q+2);
capacity[ne] = 1; ADDEDGE(p+3,q+2);
capacity[ne] = 1; ADDEDGE(p+3,q+3);
capacity[ne] = 1; ADDEDGE(p+4,q+3);
/* capacity[ne] = 1; ADDEDGE(p+2,q+4); */
qsort(edges, ne, 2*sizeof(int), compare_edge);
ret = maxflow(nv, source, sink, ne, edges, capacity, flow, cut);
printf("ret = %d\n", ret);
for (i = 0; i < ne; i++)
printf("flow %d: %d -> %d\n", flow[i], edges[2*i], edges[2*i+1]);
for (i = 0; i < nv; i++)
if (cut[i] == 0)
printf("difficult set includes %d\n", i);
return 0;
}
int main()
{
int n, m;
while (EOF != scanf("%d%d", &n, &m)) {
initNetwork(n+2);
for (int i = 1, a, b; i <= n; ++i) {
scanf("%d%d", &a, &b);
addEdge(0, i, a, 0);
addEdge(i, n+1, b, 0);
}
for (int i = 0, u, v, w; i < m; ++i) {
scanf("%d%d%d", &u, &v, &w);
addEdge(u, v, w, w);
}
printf("%d\n", maxflow(n+2, 0, n+1));
}
return 0;
}
int main() {
int n, m, s, d;
while (EOF != scanf("%d%d%d%d", &n, &m, &s, &d)) {
--s, --d;
initNetwork(n+n);
for (int i = 0, w; i < n; ++i) {
scanf("%d", &w);
addEdge(i, i+n, w);
}
for (int i = 0, a, b; i < m; ++i) {
scanf("%d%d", &a, &b);
--a, --b;
addEdge(a+n, b, INF);
addEdge(b+n, a, INF);
}
printf("%d\n", maxflow(n+n, s, d+n));
}
return 0;
}
int main()
{
int i,j,x,y,z;
while(scanf("%d %d",&n,&m) == 2){
for(i = 1; i <= n; i++)
for(j = 1; j <= n; j++){
net[i][j].c = 0;
net[i][j].f = 0;
}
for(i = 1; i <= n; i++){
scanf("%d %d %d",&x,&y,&z);
net[x][y].c += z; //注意建图时有无重复边。
}
s = 1; t = m;
int out = maxflow();
printf("%d\n",out);
}
return 0;
}
void fun(){
int i,j,t;
row = col = 0;
memset(matrix,0,sizeof(char)*NodeNum*NodeNum);
/* scan from col*/
for(i=0;i<N;i++){
j = 0;
while(j< N){
while(bitmap[j][i] == -1 && j < N){
j ++;
}
if(j==N)
break;
while(bitmap[j][i] != -1 && j < N){
bitmap[j][i] = col;
j ++;
}
col++;
}
}
/* scan from row */
for(i=0;i<N;i++){
j = 0;
while(j<N){
while(bitmap[i][j] == -1 && j < N){
j ++;
}
if(j==N)
break;
while(bitmap[i][j] != -1 && j < N){
t = bitmap[i][j];
matrix[row][t] = 1;
j ++;
}
row++;
}
}
t = maxflow();
printf("%d\n",t);
}
int main()
{
freopen("test.in","r",stdin);
freopen("sap.txt","w",stdout);
int n,m,x,y,z,i,T,cas=0;
scanf("%d",&T);
while (scanf("%d%d", &n, &m) == 2)
{
N=n;
for (i=1;i<=n;i++)
head[i]=mark[i]=-1;
for (i=1;i<=m;i++)
{
scanf("%d%d%d",&x,&y,&z);
add_edge(x,y,z);
}
printf("%d\n",cas,maxflow(1,n));
}
return 0;
}
int main()
{
int i, j, n, m, x, y;
while (scanf("%d %d", &n, &m) == 2) {
nvert = 2 * n;
memset(adj, 0, sizeof(adj));
for (i = 0; i < n; i++)
adj[V_IN(i)][V_OUT(i)] = 1;
for (j = 0; m-- > 0 && scanf(" ( %d , %d )", &x, &y) == 2;) {
if (x != y && adj[V_OUT(x)][V_IN(y)] == 0) {
adj[V_OUT(x)][V_IN(y)] = 1;
adj[V_OUT(y)][V_IN(x)] = 1;
j++;
}
}
if (n == 0 || j >= (n * (n - 1) / 2)) {
printf("%d\n", n);
continue;
}
for (m = -1, x = 0; x < n; x++) {
for (y = x + 1; y < n; y++) {
i = maxflow(V_OUT(x), V_IN(y));
if (m < 0 || i < m)
m = i;
}
}
printf("%d\n", (m < 0) ? 0 : m);
}
return 0;
}
void solve()
{
int ans = INF;
int left = 1, right = 500 * n;
int mid;
while(left <= right)
{
mid = (left + right) >> 1;
make(mid);
if(maxflow(0, n+1) == c)
{
right = mid - 1;
if(mid < ans)
{
ans = mid;
}
}
else
{
left = mid + 1;
}
}
printf("%d\n",ans);
}
/* lmaxflow
A discrete maximum flow algorithm
*/
int lmaxflow(
DBL_TYPE * g, /* The isotropic but non-homogeneous metric */
int * dim_buf, /* The image dimensions */
int dim_length, /* The number of image dimesions */
DBL_TYPE * dbl_type, /* Label image of node types */
DBL_TYPE * out /* The output */
)
{
int i, num_pixels;
BVECT * dim;
int return_val;
BIMAGE * g_bimage, * out_bimage;
char * type;
/* Set up a BVECT to describe the image dimensions, and the source vector */
dim = BVECT_constructor(dim_length);
memcpy(dim->buf, dim_buf, dim_length*sizeof(int));
/* Compute the number of pixels for reuse later */
num_pixels = BVECT_prod(dim);
/* Allocate a node type array and convert from input type */
type = (char *)malloc(num_pixels * sizeof(char));
for (i = 0; i < num_pixels; i++) {
type[i] = (char)dbl_type[i];
}
/* Construct the necessary BIMAGEs */
g_bimage = BIMAGE_constructor_double(g, dim);
out_bimage = BIMAGE_constructor(dim);
/* Compute a maximum flow */
return_val = maxflow(
g_bimage,
type,
out_bimage,
((BIMAGE * *)NULL)
);
/* thisa function does not return the mincut, and is only for timings */
/*
return_val = maxflowBOOST(
g_bimage,
type,
out_bimage,
((BIMAGE * *)NULL)
);
*/
/* Copy output buffer across */
for (i = 0; i < num_pixels; i++) {
out[i] = (DBL_TYPE)out_bimage->buf[i];
}
/* Display any LSTB_error or LSTB_debug messages */
lreadLSTBmsgs();
/* Free everything */
BVECT_destructor(dim);
BIMAGE_destructor(g_bimage);
BIMAGE_destructor(out_bimage);
free((void *)type);
return return_val;
}
SCIP_Bool ghc_tree (GRAPH *gr, SCIP_Bool** cuts, int* ncuts, double minviol)
{
/* Determines Gomory/Hu cut tree for input graph with
capacitated edges, the tree structures is represented
by parent pointers which are part of the node structure,
the capacity of a tree edge is stored at the child node,
the root of the cut tree is the first node in the list
of graph nodes (&gr->nodes[0]). The implementation is
described in [1].
References:
----------
1) D. Gusfield: "Very Simple Algorithms and Programs for
All Pairs Network Flow Analysis", Computer Science Di-
vision, University of California, Davis, 1987.
2) R.E. Gomory and T.C. Hu: "Multi-Terminal Network Flows",
SIAM J. Applied Math. 9 (1961), 551-570.
*/
GRAPHNODE *nptr, *nptr1, *nptrn, *sptr, *tptr;
long n;
double maxfl;
n = gr->nnodes;
if ( ! init_maxflow (n) )
return FALSE;
nptr1 = gr->nodes;
nptrn = &(gr->nodes[n-1L]);
for ( nptr = nptrn; nptr >= nptr1; nptr-- )
nptr->parent = nptr1;
for ( sptr = &(gr->nodes[1L]); sptr <= nptrn; sptr++ )
{
tptr = sptr->parent;
maxfl = maxflow(gr, sptr, tptr);
//maxfl < 0 <=> graph is not connected => generate cut
if ( maxfl < 0L )
{
constructSingleCut(gr,cuts);
*ncuts = 1;
fini_maxflow ();
return TRUE;
}
sptr->mincap = maxfl;
for ( nptr = &(gr->nodes[1L]); nptr <= nptrn; nptr++ )
if ( nptr != sptr && ! nptr->alive && nptr->parent == tptr )
nptr->parent = sptr;
if ( ! tptr->parent->alive )
{
sptr->parent = tptr->parent;
tptr->parent = sptr;
sptr->mincap = tptr->mincap;
tptr->mincap = maxfl;
}
}
fini_maxflow ();
constructCutList(gr,cuts,ncuts,minviol);
return TRUE;
} /* ghc_tree */