void addMatrixRow(MatDoub U, int row, MatDoub &out) {
int dummy = -1000;
for(int i=0; i<out.nrows(); i++) {
out[i][row] = dummy;
out[row][i] = dummy;
}
datain = U.getMatrixArray();
datainO = out.getMatrixArray();
int k = 0;
data [out.nrows()*out.nrows()];
for(int i=0; i < out.nrows()*out.ncols(); i++) {
if( datainO[i] == dummy )
data[i] = 0;
else
data[i] = datain[k++];
}
out = MatDoub( out.nrows(), out.nrows(), data );
}
void removeMatrixRow(int row, MatDoub &out) {
int dummy = -1000;
Rh.resize(Ri.nrows(),Ri.nrows());
Rh = Ri;
for(int i=0; i<Rh.nrows(); i++) {
Rh[row][i] = dummy;
Rh[i][row] = dummy;
}
datain = Rh.getMatrixArray();
data [Rh.nrows()*Rh.nrows()];
int k=0;
for(int i=0; i < Rh.nrows()*Rh.nrows(); i++) {
double ele = datain[i];
if(ele != dummy)
data[k++] = ele;
}
out = MatDoub( out.nrows(), out.nrows(), data );
}
void removeMatrixRow( MatDoub Unr, MatDoub &outnr ) {
int dummy = -1000;
datain = Unr.getMatrixArray();
data [outnr.nrows()*outnr.nrows()];
int k=0;
for(int i=0; i < Unr.nrows()*Unr.nrows(); i++) {
double ele = datain[i];
if(ele != dummy)
data[k++] = ele;
}
outnr = MatDoub( outnr.nrows(), outnr.nrows(), data );
}
void removeMatrixRow( MatDoub &out ) {
int dummy = -1000;
datain = Ri.getMatrixArray();
data [Ri.nrows()*Ri.nrows()];
int k=0;
for(int i=0; i < Ri.nrows()*Ri.ncols(); i++) {
double ele = datain[i];
if(ele != dummy)
data[k++] = ele;
}
out = MatDoub( out.nrows(), out.nrows(), data );
}
/*
Utility method used by RandomWalk algorithm to
resize the Graph Laplacian for each community, com,
within the network.
*/
void getSubMatrix(int com, vector<node> &Nodes) {
int dummy = -1000;
int rows = 0;
Rh.resize(R.nrows(), R.nrows());
Rh = R;
//--- NR style
for( int i=0; i< C.size(); i++) {
if( C[i] == com )
Nodes.push_back(node(rows++,0.0,0.0));
else {
for( int k=0; k<Rh.nrows(); k++) {
Rh[i][k] = dummy;
Rh[k][i] = dummy;
}
}
}
datain = Rh.getMatrixArray();
data [Rh.nrows()*Rh.nrows()];
int ind = 0;
for(int i=0; i < Rh.nrows()*Rh.ncols(); i++) {
double ele = datain[i];
if(ele != dummy)
data[ind++] = ele;
}
Ri.resize(rows,rows);
Ri = MatDoub( rows, rows, data );
}
