domain_critic_inner_nbr_unknowns.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 "headcpp.hpp"
#include "critic.hpp"
#include "point.hpp"
#include "array_math.hpp"
#include "scalar.hpp"
#include "tensor_impl.hpp"
#include "tensor.hpp"
namespace Kadath {
int Domain_critic_inner::nbr_unknowns_val_domain (const Val_domain& so) const {
 
    int res = 0 ;
    Index pos (nbr_coefs) ;
    do {
        bool indic = true ;
        int base_t = (*so.get_base().bases_1d[1])(0) ;
 
        assert ((base_t==COSSIN_EVEN) || (base_t==COSSIN_ODD)) ;
        if (pos(1)==nbr_coefs(1)-1)
            indic = false ;
        if ((pos(1)==1) && (base_t==COSSIN_EVEN))
            indic = false ;
        if ((pos(1)==nbr_coefs(1)-2) && (base_t==COSSIN_ODD))
            indic = false ;
 
        int base_r = (*so.get_base().bases_1d[0])(0) ;
        bool even ;
        switch (base_r) {
            case CHEB_EVEN:
                even = true ;
                break ;
            case LEG_EVEN:
                even = true ;
                break ;
            case CHEB_ODD:
                even = false ;
                break ;
            case LEG_ODD:
                even = false ;
                break ;
            default:
                cerr << "Uknown base in Domain_critic_inner::nbr_unknowns" << endl ;
                abort() ;
        }
 
        if ((!even) && (pos(0)==nbr_coefs(0)-1))
            indic = false ;
        if (indic)
            res ++ ;
    }
    while (pos.inc()) ;
    return res ;
}
 
 
int Domain_critic_inner::nbr_unknowns (const Tensor& tt, int dom) const {
 
    // Check right domain
    assert (tt.get_space().get_domain(dom)==this) ;
 
    int res = 0 ;
    int val = tt.get_valence() ;
    switch (val) {
        case 0 :
            res += nbr_unknowns_val_domain (tt()(dom)) ;
            break ;
        default :
            cerr << "Valence " << val << " not implemented in Domain_critic_inner::nbr_unknowns" << endl ;
            break ;
    }
    return res ;
}}