ope_inverse_nodet.cpp

/*
    Copyright 2017 Philippe Grandclement
 
    This file is part of Kadath.
 
    Kadath is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.
 
    Kadath is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.
 
    You should have received a copy of the GNU General Public License
    along with Kadath.  If not, see <http://www.gnu.org/licenses/>.
*/
 
#include "ope_eq.hpp"
#include "scalar.hpp"
#include "tensor_impl.hpp"
namespace Kadath {
Ope_inverse_nodet::Ope_inverse_nodet (const System_of_eqs* zesys, Ope_eq* target) : Ope_eq(zesys, target->get_dom(), 1) {
    parts[0] = target ;
}
 
Ope_inverse_nodet::~Ope_inverse_nodet() {
}
 
Term_eq Ope_inverse_nodet::action() const {
 
    Term_eq target (parts[0]->action()) ;
    
    // Various checks
    if (target.type_data != TERM_T) {
        cerr << "Ope_inverse only defined with respect for a tensor" << endl ;
        abort() ;
    }
    if (target.val_t->get_valence()!=2) {
        cerr << "Ope_inverse only defined with respect to a second order tensor" << endl ;
        abort() ;
    }
    if (target.val_t->get_index_type(0)!=target.val_t->get_index_type(1)) {
        cerr << "Ope_inverse only defined with respect to a tensor which indices are of the same type" << endl ;
        abort() ;
    }
    int typeresult = - target.val_t->get_index_type(0) ;
    int dim = target.val_t->get_space().get_ndim() ;
 
    bool m_doder = (target.der_t==0x0) ? false : true ;
 
     Term_eq** res(new Term_eq* [dim*(dim + 1)/2]);                // 6 components to compute...
   Scalar val(target.val_t->get_space());                       // val and cmpval are more or less the same intermediate, but with different types
   Scalar der(target.val_t->get_space());
   Val_domain cmpval(target.val_t->get_space().get_domain(dom));
   Val_domain cmpder(target.val_t->get_space().get_domain(dom));
 
  
  
   // compute the transposed comatrix
   double signature;
   gsl_permutation* p(gsl_permutation_calloc(dim-1));  // initialise to identity 0, 1
   for (int i(1) ; i <= dim ;  ++i)      // sum over components, only the upper triangular part
   {
      for (int j(i) ; j <= dim ; ++j)
      {
         cmpval = 0.0;                   // initialise to 0 before each computation
         cmpder = 0.0;                   // initialise to 0 before each computation
         do
         {
            signature = sign(p);
            int p1(static_cast<int>(gsl_permutation_get(p, 0)) + 1);  // always add one for tensor indices, now we have a permutation of 1, 2
            int p2(static_cast<int>(gsl_permutation_get(p, 1)) + 1);
            vector<int> index1, index2;                      // manage the indices of the transposed comatrix
            index1 = ind_com(i, j, p1, 1);                   // we need to play a bit with indices to get transpose(COM(metric))
            index2 = ind_com(i, j, p2, 2);
            cmpval += pow(-1.0, i + j)*signature*(*target.val_t)(index1[0], index1[1])(dom)*(*target.val_t)(index2[0],index2[1])(dom);      // sum on permutations
            if (m_doder)
               cmpder += pow(-1.0, i + j)*signature*(*target.der_t)(index1[0], index1[1])(dom)*(*target.val_t)(index2[0], index2[1])(dom)
                      +  pow(-1.0, i + j)*signature*(*target.val_t)(index1[0], index1[1])(dom)*(*target.der_t)(index2[0], index2[1])(dom);
         }while(gsl_permutation_next(p) == GSL_SUCCESS);
     gsl_permutation_free(p) ;
         p = gsl_permutation_calloc(dim - 1);               // reinitialise to identity 0, 1, ready to be used for next component
         val.set_domain(dom) = cmpval ;              // now we have the component of the inverse matrix
         if (m_doder)
         {
            der.set_domain(dom) = cmpder ;
            res[j - 1 + dim*(i - 1) - i*(i - 1)/2] = new Term_eq (dom, val, der);   // just save upper triangular components in a 1D array of Term_eq (the indice will run throug 0, 1, 2, 3, 4, 5 with i, j)
         }
         else
            res[j - 1 + dim*(i - 1) - i*(i - 1)/2] = new Term_eq (dom, val);
      }
   }
   gsl_permutation_free(p);
 
   // Value field :
   Metric_tensor resval(target.val_t->get_space() , typeresult, target.val_t->get_basis());
   Metric_tensor resder(target.val_t->get_space() , typeresult, target.val_t->get_basis());
   for (int i(1) ; i <= dim ; ++i)
      for (int j(i) ; j <= dim ; ++j)
         resval.set(i, j) = res[j - 1 + dim*(i - 1) - i*(i - 1)/2]->get_val_t();
 
   // Der field
   if (m_doder) {
      for (int i(1) ; i <= dim ; ++i)
         for (int j(i) ; j <= dim ; ++j)
            resder.set(i, j) = res[j - 1 + dim*(i - 1) - i*(i - 1)/2]->get_der_t();
   }
 
   for (int i(0) ; i < dim*(dim + 1)/2 ; ++i)
      delete res[i];
   delete[] res;    
 
   if (!m_doder) 
    return Term_eq (dom, resval) ;
   else
    return Term_eq (dom, resval, resder) ;
}
}