bool InvertMatrix(const ublas::matrix<T>& input, ublas::matrix<T>& inverse)
{
using namespace boost::numeric::ublas;
typedef permutation_matrix<std::size_t> pmatrix;
// create a working copy of the input
matrix<T> A(input);
// create a permutation matrix for the LU-factorization
pmatrix pm(A.size1());
// perform LU-factorization
int res = lu_factorize(A,pm);
if( res != 0 ) return false;
// create identity matrix of "inverse"
inverse.assign(ublas::identity_matrix<T>(A.size1()));
// backsubstitute to get the inverse
lu_substitute(A, pm, inverse);
return true;
}
bool LS::Regression::InvertMatrix (const ublas::matrix<double>& input, ublas::matrix<double>& inverse)
{
typedef ublas::permutation_matrix<std::size_t> pmatrix;
// create a working copy of the input
ublas::matrix<double> A(input);
// create a permutation matrix for the LU-factorization
pmatrix pm(A.size1());
// perform LU-factorization
int res = lu_factorize(A,pm);
if( res != 0 )
return false;
// create identity matrix of "inverse"
inverse.assign(ublas::identity_matrix<double>(A.size1()));
// backsubstitute to get the inverse
lu_substitute(A, pm, inverse);
return true;
}
