void NRLib::ComputeEigenVectorsComplex(ComplexMatrix & A,
ComplexVector & eigen_values,
ComplexMatrix & eigen_vectors)
{
ComplexMatrix dummy_mat(A.numRows(), A.numCols());
flens::ev(false, true, A, eigen_values, dummy_mat, eigen_vectors);
}
void NRLib::Adjoint(const ComplexMatrix & in,
ComplexMatrix & out)
{
int m = out.numRows();
int n = out.numCols();
for (int i=0 ; i < m ; i++) {
for (int j=0 ; j < n ; j++) {
out(i,j) = std::conj(in(j,i));
}
}
}
void NRLib::WriteComplexMatrix(const std::string & header,
const ComplexMatrix & C)
{
int m = C.numRows();
int n = C.numCols();
LogKit::LogFormatted(LogKit::Error,"\n"+header+"\n");
for (int i=0; i < m ; i++) {
for (int j=0; j < n ; j++) {
LogKit::LogFormatted(LogKit::Error,"(%12.8f, %12.8f) ",C(i,j).real(),C(i,j).imag());
}
LogKit::LogFormatted(LogKit::Error,"\n");
}
LogKit::LogFormatted(LogKit::Error,"\n");
}
DoubleMatrix mult(DoubleMatrix& m2, ComplexMatrix& m1)
{
// Check dimensions
unsigned int m1_nRows = m1.numRows();
unsigned int m2_nRows = m2.numRows();
unsigned int m1_nColumns = m1.numCols();
unsigned int m2_nColumns = m2.numCols();
if (m1.size() == 0)
{
return real(m1);
}
if (m2.size() == 0)
{
return m2;
}
DoubleMatrix result(m1_nRows, m2_nColumns);
if (m1_nColumns == m2_nRows)
{
for (unsigned int row = 0; row < result.numRows(); row++)
{
for (unsigned int col = 0; col < m2_nColumns; col++)
{
double sum = 0.0;
for (unsigned int k = 0; k < m1_nColumns; k++)
{
sum = sum + (real(m1[row][k]) * m2[k][col]);
}
result[row][col] = sum;
}
}
return result;
}
if (m1_nRows == m2_nColumns)
{
return mult(m2, m1);
}
throw ("Incompatible matrix operands to multiply");
}
