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annotate src/assemble_system.cc @ 173:9e944b0d0fc8

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Some Formatting improvements (?)
author gedeone-octave <marcovass89@hotmail.it>
date Sat, 12 Oct 2013 16:06:00 +0100
parents f65252c56853
children 66071811eef8
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1 /*
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2 Copyright (C) 2013 Marco Vassallo <gedeone-octave@users.sourceforge.net>
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3
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4 This program is free software; you can redistribute it and/or modify it under
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5 the terms of the GNU General Public License as published by the Free Software
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6 Foundation; either version 3 of the License, or (at your option) any later
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7 version.
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8
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9 This program is distributed in the hope that it will be useful, but WITHOUT
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10 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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11 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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12 details.
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13
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14 You should have received a copy of the GNU General Public License along with
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15 this program; if not, see <http://www.gnu.org/licenses/>.
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16 */
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17
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18 #include "form.h"
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19 #include "boundarycondition.h"
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20
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21 DEFUN_DLD (assemble_system, args, nargout,
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22 "-*- texinfo -*-\n\
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23 @deftypefn {Function File} {[@var{A}], [@var{b}], [@var{x}(Optional)]} = \
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24 assemble_system (@var{form a}, @var{form L}, @var{DirichletBC}(Optional), \
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25 @var{...}) \n\
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26 The input arguments are\n\
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27 @itemize @bullet\n\
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28 @item @var{form a} the bilinear form to assemble.\n\
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29 @item @var{form a} the linear form to assemble.\n\
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30 @item @var{DirichletBC} represents the optional BC that you wish to apply to\n\
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31 the system. If more than one BC has to be applied, just list them.\n\
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32 @end itemize \n\
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33 The output @var{A} is a discretized representation of the system:\n\
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34 @itemize @bullet\n\
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35 @item @var{A} is the sparse Matrix corresponding to the @var{form a}\n\
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36 @item @var{A} is the Vector corresponding to the @var{form L}\n\
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37 @end itemize \n\
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38 If you need to apply boundary condition to a system for a nonlinear problem \n\
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39 then you should provide as 3rd argument the vector and you will receive it \n\
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40 back as the third output argument.\n\
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41 For an example of this situation, you can look the example HyperElasticity.m\n\
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42 @seealso{BilinearForm, LinearForm, ResidualForm, JacobianForm}\n\
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43 @end deftypefn")
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44 {
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45 int nargin = args.length ();
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46 octave_value_list retval;
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47 if (! form_type_loaded)
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48 {
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49 form::register_type ();
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50 form_type_loaded = true;
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51 mlock ();
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52 }
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53
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54 if (! boundarycondition_type_loaded)
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55 {
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56 boundarycondition::register_type ();
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57 boundarycondition_type_loaded = true;
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58 mlock ();
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59 }
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60
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61 if (nargout == 2)
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62 {
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63 if (nargin < 2)
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64 print_usage ();
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65 else
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66 {
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67
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68 if (args(0).type_id () == form::static_type_id ()
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69 && args(1).type_id () == form::static_type_id ())
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70 {
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71 const form & frm1 =
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72 static_cast<const form&> (args(0).get_rep ());
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73 const form & frm2 =
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74 static_cast<const form&> (args(1).get_rep ());
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75
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76 if (! error_state)
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77 {
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78 const dolfin::Form & a = frm1.get_form ();
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79 const dolfin::Form & b = frm2.get_form ();
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80 a.check ();
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81 b.check ();
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82
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83 if (a.rank () == 2 && b.rank () == 1)
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84 {
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85 dolfin::parameters["linear_algebra_backend"] = "uBLAS";
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86 dolfin::Matrix A;
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87 dolfin::assemble (A, a);
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88 dolfin::Vector B;
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89 dolfin::assemble (B, b);
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90
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91 for (std::size_t i = 2; i < nargin; ++i)
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92 {
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93 if (args(i).type_id () ==
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94 boundarycondition::static_type_id ())
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95 {
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96 const boundarycondition & bc
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97 = static_cast<const boundarycondition&>
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98 (args(i).get_rep ());
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99
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100 const std::vector<boost::shared_ptr
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101 <const dolfin::DirichletBC> >
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102 & pbc = bc.get_bc ();
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103
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104 for (std::size_t j = 0; j < pbc.size (); ++j)
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105 pbc[j]->apply(A, B);
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106 }
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107 else
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108 error ("assemble_system: unknown argument type");
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109 }
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110
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111 // Get capacity of the dolfin sparse matrix
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112 boost::tuples::tuple<const std::size_t*,
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113 const std::size_t*,
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114 const double*, int>
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115 aa = A.data ();
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116
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117 int nnz = aa.get<3> ();
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118 std::size_t nr = A.size (0), nc = A.size (1);
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119 std::vector<double> data_tmp;
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120 std::vector<std::size_t> cidx_tmp;
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121
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122 dim_vector dims (nnz, 1);
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123 octave_idx_type nz = 0, ii = 0;
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124 Array<octave_idx_type>
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125 ridx (dims, 0),
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126 cidx (dims, 0);
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127 Array<double> data (dims, 0);
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128
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129 octave_idx_type* orow = ridx.fortran_vec ();
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130 octave_idx_type* oc = cidx.fortran_vec ();
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131 double* ov = data.fortran_vec ();
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132
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133 for (std::size_t i = 0; i < nr; ++i)
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134 {
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135 A.getrow (i, cidx_tmp, data_tmp);
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136 nz += cidx_tmp.size ();
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137
173
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138 for (octave_idx_type j = 0;
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139 j < cidx_tmp.size (); ++j)
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140 {
167
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141 orow [ii + j] = i;
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142 oc [ii + j] = cidx_tmp [j];
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143 ov [ii + j] = data_tmp [j];
116
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144 }
167
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145
116
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146 ii = nz;
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147 }
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148
167
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149 dims(0) = ii;
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150 ridx.resize (dims);
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151 cidx.resize (dims);
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152 data.resize (dims);
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153
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154 SparseMatrix sm (data, ridx, cidx, nr, nc);
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155 retval(0) = sm;
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156
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157 dim_vector dim;
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158 dim.resize (2);
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159 dim(0) = B.size ();
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160 dim(1) = 1;
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161 Array<double> myb (dim);
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162
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163 for (std::size_t i = 0; i < B.size (); ++i)
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164 myb.xelem (i) = B[i];
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165
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166 retval(1) = myb;
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167 }
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168 }
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169 else
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170 error ("assemble_system: unknown size");
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171 }
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172 }
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173 }
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174 else if (nargout == 3)
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175 {
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176 if (nargin < 3)
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177 print_usage ();
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178 else
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179 {
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180 if (args(0).type_id () == form::static_type_id ()
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181 && args(1).type_id () == form::static_type_id ())
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182 {
173
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183 const form & frm1 =
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184 static_cast<const form&> (args(0).get_rep ());
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185 const form & frm2 =
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186 static_cast<const form&> (args(1).get_rep ());
116
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187 const Array<double> myx = args(2).array_value ();
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188
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189 if (! error_state)
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190 {
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191 const dolfin::Form & a = frm1.get_form ();
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192 const dolfin::Form & b = frm2.get_form ();
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193 a.check ();
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194 b.check ();
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195
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196 if (a.rank () == 2 && b.rank () == 1)
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197 {
169
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198 dolfin::parameters["linear_algebra_backend"] = "uBLAS";
116
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199 dolfin::Matrix A;
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200 dolfin::assemble (A, a);
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201 dolfin::Vector B;
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202 dolfin::assemble (B, b);
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203 dolfin::Vector x (myx.length ());
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204
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205 for (std::size_t i = 0; i < myx.length (); ++i)
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206 x.setitem (i, myx.xelem (i));
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207
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208 for (std::size_t i = 3; i < nargin; ++i)
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209 {
173
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210 if (args(i).type_id () ==
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211 boundarycondition::static_type_id ())
116
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212 {
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213 const boundarycondition & bc
173
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214 = static_cast<const boundarycondition&>
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215 (args(i).get_rep ());
116
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216
173
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217 const std::vector<boost::shared_ptr
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218 <const dolfin::DirichletBC> >
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219 & pbc = bc.get_bc ();
116
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220
173
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diff changeset
221 for (std::size_t j = 0;
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222 j < pbc.size (); ++j)
116
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223 pbc[j]->apply(A, B, x);
173
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diff changeset
224
116
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225 }
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226 else
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diff changeset
227 error ("assemble_system: unknown argument type");
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228 }
97
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diff changeset
229
173
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230 // Get capacity of the dolfin sparse matrix
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diff changeset
231 boost::tuples::tuple<const std::size_t*,
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diff changeset
232 const std::size_t*,
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233 const double*, int>
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234 aa = A.data ();
166
40ae9e5dfb93 Use the uBLAS for an estimation of the nnz elements for excess.
gedeone-octave <marcovass89@hotmail.it>
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diff changeset
235 int nnz = aa.get<3> ();
97
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
236 std::size_t nr = A.size (0), nc = A.size (1);
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
237 std::vector<double> data_tmp;
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gedeone-octave <marcovass89@hotmail.it>
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238 std::vector<std::size_t> cidx_tmp;
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
239
167
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
240 dim_vector dims (nnz, 1);
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diff changeset
241 octave_idx_type nz = 0, ii = 0;
173
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242 Array<octave_idx_type>
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243 ridx (dims, 0),
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244 cidx (dims, 0);
167
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
245 Array<double> data (dims, 0);
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diff changeset
246
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diff changeset
247 octave_idx_type* orow = ridx.fortran_vec ();
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diff changeset
248 octave_idx_type* oc = cidx.fortran_vec ();
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diff changeset
249 double* ov = data.fortran_vec ();
97
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diff changeset
250
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diff changeset
251 for (std::size_t i = 0; i < nr; ++i)
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gedeone-octave <marcovass89@hotmail.it>
parents: 91
diff changeset
252 {
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
253 A.getrow (i, cidx_tmp, data_tmp);
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
254 nz += cidx_tmp.size ();
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diff changeset
255
173
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diff changeset
256 for (octave_idx_type j = 0;
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diff changeset
257 j < cidx_tmp.size (); ++j)
97
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gedeone-octave <marcovass89@hotmail.it>
parents: 91
diff changeset
258 {
167
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gedeone-octave <marcovass89@hotmail.it>
parents: 166
diff changeset
259 orow [ii + j] = i;
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
260 oc [ii + j] = cidx_tmp [j];
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gedeone-octave <marcovass89@hotmail.it>
parents: 166
diff changeset
261 ov [ii + j] = data_tmp [j];
97
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gedeone-octave <marcovass89@hotmail.it>
parents: 91
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262 }
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gedeone-octave <marcovass89@hotmail.it>
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263
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
264 ii = nz;
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
265 }
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
266
167
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
267 dims(0) = ii;
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
268 ridx.resize (dims);
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gedeone-octave <marcovass89@hotmail.it>
parents: 166
diff changeset
269 cidx.resize (dims);
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gedeone-octave <marcovass89@hotmail.it>
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diff changeset
270 data.resize (dims);
97
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gedeone-octave <marcovass89@hotmail.it>
parents: 91
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271
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272 SparseMatrix sm (data, ridx, cidx, nr, nc);
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273 retval(0) = sm;
91
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274
97
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275 dim_vector dim;
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276 dim.resize (2);
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277 dim(0) = B.size ();
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278 dim(1) = 1;
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279 Array<double> myb (dim), myc (dim);
91
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280
97
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281 for (std::size_t i = 0; i < B.size (); ++i)
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282 {
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283 myb.xelem (i) = B[i];
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284 myc.xelem (i) = x[i];
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285 }
91
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286
97
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287 retval(1) = myb;
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288 retval(2) = myc;
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289 }
91
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290 }
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gedeone-octave <marcovass89@hotmail.it>
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291 else
116
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292 error ("assemble_system: unknown size");
91
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293 }
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294 }
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295 }
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296 return retval;
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297 }