Mercurial > fem-fenics-eugenio
view src/assemble.cc @ 168:67944f307560
Remove the verbose debug output
author | gedeone-octave <marcovass89@hotmail.it> |
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date | Sun, 06 Oct 2013 22:31:48 +0100 |
parents | 3895c8d4c066 |
children | 8ea37cfc7a14 |
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/* Copyright (C) 2013 Marco Vassallo <gedeone-octave@users.sourceforge.net> This program 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. This program 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 this program; if not, see <http://www.gnu.org/licenses/>. */ #include "form.h" #include "boundarycondition.h" DEFUN_DLD (assemble, args, nargout, "-*- texinfo -*-\n\ @deftypefn {Function File} {[@var{A}], [@var{x}(Optional)]} = \ assemble (@var{form a}, @var{DirichletBC}(Optional), @var{...}) \n\ The input arguments are\n\ @itemize @bullet\n\ @item @var{form a} which is the form to assemble. It can be a form of rank 2\n\ (bilinear), a form of rank 1 (linear) or a form of rank 0 (functional).\n\ @item @var{DirichletBC} represents the optional BC that you wish to apply to\n\ the system. If more than one BC has to be applied, just list them.\n\ @end itemize \n\ The output @var{A} is a discretized representation of the @var{form a}:\n\ @itemize @bullet\n\ @item @var{A} is a sparse Matrix if @var{form a} is a bilinear form\n\ @item @var{A} is a Vector if @var{form a} is a linear form\n\ @item @var{A} is a Double if @var{form a} is a functional\n\ @end itemize \n\ If you need to apply boundary condition to a vector for a nonlinear problem \n\ then you should provide as 2nd argument the vector and you will receive it back\n\ as the second output argument. For an example of this situation, you can look\n\ the example HyperElasticity.m\n\ @seealso{BilinearForm, LinearForm, ResidualForm, JacobianForm}\n\ @end deftypefn") { int nargin = args.length (); octave_value_list retval; if (! boundarycondition_type_loaded) { boundarycondition::register_type (); boundarycondition_type_loaded = true; mlock (); } if (! form_type_loaded) { form::register_type (); form_type_loaded = true; mlock (); } if (nargout == 1) { if (nargin < 1) print_usage (); else { if (args(0).type_id () == form::static_type_id ()) { const form & frm = static_cast<const form&> (args(0).get_rep ()); if (! error_state) { const dolfin::Form & a = frm.get_form (); a.check (); if (a.rank () == 2) { dolfin::parameters["linear_algebra_backend"] = "uBLAS"; dolfin::Matrix A; dolfin::assemble (A, a); for (std::size_t i = 1; i < nargin; ++i) { if (args(i).type_id () == boundarycondition::static_type_id ()) { const boundarycondition & bc = static_cast<const boundarycondition&> (args(i).get_rep ()); const std::vector<boost::shared_ptr <const dolfin::DirichletBC> > & pbc = bc.get_bc (); for (std::size_t j = 0; j < pbc.size (); ++j) pbc[j]->apply(A); } else error ("assemble: unknown argument type"); } // It provides an upper boung for the nnz elements boost::tuples::tuple<const std::size_t*, const std::size_t*, const double*, int> aa = A.data (); int nnz = aa.get<3> (); std::size_t nr = A.size (0), nc = A.size (1); std::vector<double> data_tmp; std::vector<std::size_t> cidx_tmp; dim_vector dims (nnz, 1); octave_idx_type nz = 0, ii = 0; Array<octave_idx_type> ridx (dims, 0), cidx (dims, 0); Array<double> data (dims, 0); octave_idx_type* orow = ridx.fortran_vec (); octave_idx_type* oc = cidx.fortran_vec (); double* ov = data.fortran_vec (); for (std::size_t i = 0; i < nr; ++i) { A.getrow (i, cidx_tmp, data_tmp); nz += cidx_tmp.size (); for (octave_idx_type j = 0; j < cidx_tmp.size (); ++j) { orow [ii + j] = i; oc [ii + j] = cidx_tmp [j]; ov [ii + j] = data_tmp [j]; } ii = nz; } dims(0) = ii; ridx.resize (dims); cidx.resize (dims); data.resize (dims); SparseMatrix sm (data, ridx, cidx, nr, nc); retval(0) = sm; } else if (a.rank () == 1) { dolfin::Vector A; dolfin::assemble (A, a); for (std::size_t i = 1; i < nargin; ++i) { if (args(i).type_id () == boundarycondition::static_type_id ()) { const boundarycondition & bc = static_cast<const boundarycondition&> (args(i).get_rep ()); const std::vector<boost::shared_ptr <const dolfin::DirichletBC> > & pbc = bc.get_bc (); for (std::size_t j = 0; j < pbc.size (); ++j) pbc[j]->apply(A); } else error ("assemble: unknown argument type"); } dim_vector dims; dims.resize (2); dims(0) = A.size (); dims(1) = 1; Array<double> myb (dims); for (std::size_t i = 0; i < A.size (); ++i) myb.xelem (i) = A[i]; retval(0) = myb; } else if (a.rank () == 0) { double b = dolfin::assemble (a); retval(0) = octave_value (b); } else error ("assemble: unknown form size"); } } } } else if (nargout == 2) { if (nargin < 2) print_usage (); else { if (args(0).type_id () == form::static_type_id ()) { const form & frm = static_cast<const form &> (args(0).get_rep ()); const Array<double> myx = args(1).array_value (); if (! error_state) { const dolfin::Form & a = frm.get_form (); a.check (); if (a.rank () == 1) { dolfin::Vector A; dolfin::assemble (A, a); dolfin::Vector x (myx.length ()); for (std::size_t i = 0; i < myx.length (); ++i) x.setitem (i, myx.xelem (i)); for (std::size_t i = 2; i < nargin; ++i) { if (args(i).type_id () == boundarycondition::static_type_id ()) { const boundarycondition & bc = static_cast<const boundarycondition&> (args(i).get_rep ()); const std::vector<boost::shared_ptr <const dolfin::DirichletBC> > & pbc = bc.get_bc (); for (std::size_t j = 0; j < pbc.size (); ++j) pbc[j]->apply(A, x); } else error ("assemble: unknown argument type"); } dim_vector dims; dims.resize (2); dims(0) = A.size (); dims(1) = 1; Array<double> myb (dims), myc (dims); for (std::size_t i = 0; i < A.size (); ++i) { myb.xelem (i) = A[i]; myc.xelem (i) = x[i]; } retval(0) = myb; retval(1) = myc; } else error ("assemble: unknown size"); } } } } return retval; }