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/*
* Copyright (c) 2000-2001 Philippe Grandclement
*
* This file is part of LORENE.
*
* LORENE 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 2 of the License, or
* (at your option) any later version.
*
* LORENE 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 LORENE; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
*/
char tenseur_inv_pois_vect_C[] = "$Header: /cvsroot/Lorene/C++/Source/Tenseur/tenseur_inv_pois_vect.C,v 1.5 2014/10/13 08:53:42 j_novak Exp $" ;
/*
* $Id: tenseur_inv_pois_vect.C,v 1.5 2014/10/13 08:53:42 j_novak Exp $
* $Log: tenseur_inv_pois_vect.C,v $
* Revision 1.5 2014/10/13 08:53:42 j_novak
* Lorene classes and functions now belong to the namespace Lorene.
*
* Revision 1.4 2014/10/06 15:13:18 j_novak
* Modified #include directives to use c++ syntax.
*
* Revision 1.3 2005/08/29 09:41:45 p_grandclement
* Minor modif
*
* Revision 1.2 2002/08/07 16:14:11 j_novak
* class Tenseur can now also handle tensor densities, this should be transparent to older codes
*
* Revision 1.1.1.1 2001/11/20 15:19:30 e_gourgoulhon
* LORENE
*
* Revision 2.0 2000/10/19 09:49:47 phil
* *** empty log message ***
*
*
* $Header: /cvsroot/Lorene/C++/Source/Tenseur/tenseur_inv_pois_vect.C,v 1.5 2014/10/13 08:53:42 j_novak Exp $
*
*/
//Standard
#include <cstdlib>
//Lorene
#include "tenseur.h"
// Inversion de Poisson vectoriel :
namespace Lorene {
Tenseur Tenseur::inverse_poisson_vect (double lambda) const {
assert (valence == 1) ;
assert (etat != ETATNONDEF) ;
if (etat == ETATZERO)
return (*this) ;
Tenseur inverse (*mp, 1, CON, *get_triad(), metric, poids) ;
Tenseur grad (contract(this->gradient(), 0, 1)) ;
grad.dec2_dzpuis() ;
Tenseur grad_shift (grad.gradient()) ;
grad_shift.inc2_dzpuis() ;
inverse.set_etat_qcq() ;
for (int i=0 ; i<3 ; i++)
inverse.set(i) = (*this)(i).laplacien(4)+lambda*grad_shift(i) ;
return inverse ;
}
}
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