cdec cleanup, remove bayesian stuff, parsing stuff

1 files changed, 0 insertions, 45 deletions

diff --git a/gi/posterior-regularisation/invert.hh b/gi/posterior-regularisation/invert.hh
deleted file mode 100644
index d06356e9..00000000
--- a/gi/posterior-regularisation/invert.hh
+++ /dev/null
@@ -1,45 +0,0 @@
-// The following code inverts the matrix input using LU-decomposition with
-// backsubstitution of unit vectors. Reference: Numerical Recipies in C, 2nd
-// ed., by Press, Teukolsky, Vetterling & Flannery. 
-// Code written by Fredrik Orderud.
-// http://www.crystalclearsoftware.com/cgi-bin/boost_wiki/wiki.pl?LU_Matrix_Inversion
-
-#ifndef INVERT_MATRIX_HPP
-#define INVERT_MATRIX_HPP
-
-// REMEMBER to update "lu.hpp" header includes from boost-CVS
-#include <boost/numeric/ublas/vector.hpp>
-#include <boost/numeric/ublas/vector_proxy.hpp>
-#include <boost/numeric/ublas/matrix.hpp>
-#include <boost/numeric/ublas/triangular.hpp>
-#include <boost/numeric/ublas/lu.hpp>
-#include <boost/numeric/ublas/io.hpp>
-
-namespace ublas = boost::numeric::ublas;
-
-/* Matrix inversion routine.
-   Uses lu_factorize and lu_substitute in uBLAS to invert a matrix */
-template<class T>
-bool invert_matrix(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;
-}
-
-#endif //INVERT_MATRIX_HPP