Wed, 22 Apr 2026 23:46:40 -0500
Add packaging script, remove alg_tools, measures, and pointsource_pde installation instruction from README.
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1 | /// Minimisation code for second-order polynomial models from Fenics. |
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2 | #include <array> |
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3 | #include <cmath> |
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4 | |
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5 | #include <basix/finite-element.h> |
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6 | #include <dolfinx/fem/Function.h> |
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7 | #include <dolfinx/mesh/cell_types.h> |
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8 | #include <nanobind/nanobind.h> |
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9 | #include <nanobind/stl/array.h> // needed for array conversions in nanobind bindings. |
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10 | |
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11 | #include "dolfinx_access/minmax_p2.h" |
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12 | #include "pointsource_pde/src/dolfinx_access.rs.h" |
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13 | |
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14 | using namespace dolfinx::fem; |
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15 | using namespace basix::element; |
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16 | using namespace dolfinx_access; |
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17 | |
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18 | namespace dolfinx_access { |
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19 | |
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20 | // Since Fenics documentation is poor, and it does not seem to provide an easy way to access |
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21 | // an internal P2 model (that would not involve vomotting your guts out 🤮 dealing with the |
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22 | // putrid horror that C++ has become (and its documentation written by lawyers and bureacrats, |
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23 | // which is even worse than that of Fenics), our idea here is to simply assume that f is a |
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24 | // second-order polynomial on each cell, and then evaluate it on that cell at 6 points, to |
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25 | // construct a new model based on our existing P2 model code that is also used for minimising |
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26 | // arbitrary sums. |
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27 | inline CoordValuePair minmax_Function_f64_p2(Function<double> const* f, bool max) { |
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28 | auto v = f->x(); |
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29 | // Mesh |
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30 | auto fp = f->function_space(); |
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31 | auto mesh = fp->mesh(); |
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32 | auto geom = mesh->geometry(); |
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33 | auto topo = mesh->topology(); |
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34 | |
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35 | // Check that we're working with P2 elements |
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36 | // |
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37 | // Fenics defaults to GLL warped midpoint placement; see |
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38 | // https://docs.fenicsproject.org/dolfinx/v0.7.0.post0/python/demos/demo_lagrange_variants.html |
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39 | // This is not a problem with our current implementation, which works with an |
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40 | // second-order |
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41 | // polynomials due to duplication of effort (see above, why), but if we would directly |
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42 | // take the cell quadrature matrix from Fenics, we should restrict el.lagrange_variant() = |
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43 | // lagrange_variant::equispaced. |
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44 | auto el = fp->element()->basix_element(); |
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45 | // printf("%d %d %d %d\n", el.degree(), el.cell_type(), el.lagrange_variant(), |
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46 | // el.family()); |
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47 | if (el.degree() != 2 || el.cell_type() != basix::cell::type::triangle || |
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48 | /*el.lagrange_variant() != lagrange_variant::equispaced ||*/ el.family() != |
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49 | family::P) { |
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50 | throw "Only equispaced Lagrange second-order polynomial elements are supported"; |
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51 | } |
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52 | if (cell_num_entities(dolfinx::mesh::CellType::triangle, 0) != 3) { |
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53 | throw "A triangle should have three vertices"; |
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54 | } |
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55 | |
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56 | // Check that we are dealing with a scalar function |
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57 | if (fp->element()->value_shape().size() != 0) { |
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58 | throw "Only scalar functions are supported, obviously."; |
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59 | } |
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60 | |
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61 | // Check that we're in two dimensions |
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62 | if (topo->dim() != 2 || geom.dim() != 2) { |
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63 | throw "Only two-dimensional meshes are supported"; |
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64 | } |
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65 | |
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66 | // Check that there are no other types of eleemnts |
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67 | auto entity_types = topo->entity_types(2); |
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68 | for (auto& t : entity_types) { |
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69 | if (t != dolfinx::mesh::CellType::triangle) { |
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70 | throw "Only triangular meshes are supported"; |
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71 | } |
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72 | } |
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73 | |
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74 | auto adj = topo->connectivity(2, 0); |
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75 | auto n_cells = adj->num_nodes(); |
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76 | |
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77 | // assert(n_cells == n_triangles); |
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78 | |
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79 | // printf("cell count? %d\n", n_cells); |
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80 | // for (auto i = 0; i < n_cells; i++) { |
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81 | // // assert(adj->num_links(i) == 3); // Should not need this |
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82 | // auto d = fp->dofmap()->cell_dofs(i); |
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83 | // printf("%zd\n", d.size()); |
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84 | // } |
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85 | |
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86 | // DOF coordinates (may be more than nodes, e.g., intermediate points) |
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87 | auto gx = geom.x(); |
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88 | // auto num_points = gx.size() / 3; |
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89 | // Map from cells to DOF indices |
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90 | auto geom_dofmap = geom.dofmap(); |
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91 | assert(geom_dofmap.extent(0) == (size_t)n_cells); |
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92 | assert(geom_dofmap.extent(1) == 3); |
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93 | auto fp_dofmap = fp->dofmap(); |
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94 | |
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95 | // auto dof_coords = fp->tabulate_dof_coordinates(); |
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96 | |
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97 | CoordValuePair res{{{0.0, 0.0}}, INFINITY}; |
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98 | |
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99 | // printf("%zd %zd\n", v->array().size(), gx.size()); |
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100 | |
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101 | for (auto i = 0; i < n_cells; i++) { |
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102 | // Cell corners |
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103 | auto j0 = geom_dofmap(i, 0); |
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104 | auto j1 = geom_dofmap(i, 1); |
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105 | auto j2 = geom_dofmap(i, 2); |
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106 | |
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107 | // Construct list of coordinates. Due to f->eval, we construct this is a single list |
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108 | // with all the Fenics weirdness of hard-coded 3D. |
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109 | std::array<double, 9> x = {gx[3 * j0], gx[3 * j0 + 1], 0, |
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110 | gx[3 * j1], gx[3 * j1 + 1], 0, |
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111 | gx[3 * j2], gx[3 * j2 + 1], 0}; |
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112 | |
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113 | // Find the solution on the simplex. |
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114 | auto newres = minmax_dolfinx_p2_cell(f, x, i, max); |
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115 | |
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116 | // printf("%f [%f, %f] [%f %f %f %f %f %f] <%f, %f> <%f, %f> <‸%f, %f>\n", newres.v, |
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117 | // newres.x[0], newres.x[1], values[0], values[1], values[2], values[3], |
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118 | // values[4], values[5], x[0], x[1], x[3], x[4], x[6], x[7]); |
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119 | if (newres.v < res.v) { |
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120 | res = newres; |
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121 | } |
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122 | |
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123 | // // Full DOF data |
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124 | // auto d = fp_dofmap->cell_dofs(i); |
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125 | // // TODO: array() gives just local part of vector |
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126 | // assert(d.size() == 6); |
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127 | // for (auto k = 0; k < d.size(); k++) { |
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128 | // auto j = d[k]; |
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129 | // // printf("%d %d\n", 3 * j + 1, nodes.size()); |
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130 | // assert(2 * j + 1 <= nodes.size()); |
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131 | // auto x = {nodes[3 * j], nodes[3 * j + 1]}; |
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132 | // } |
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133 | } |
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134 | |
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135 | // Negate result if maximising. |
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136 | if (max) { |
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137 | res.v = -res.v; |
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138 | } |
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139 | return res; |
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140 | } |
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141 | |
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142 | CoordValuePair min_Function_f64_p2(Function<double> const* f) { |
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143 | return minmax_Function_f64_p2(f, false); |
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144 | } |
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145 | |
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146 | CoordValuePair max_Function_f64_p2(Function<double> const* f) { |
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147 | return minmax_Function_f64_p2(f, true); |
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148 | } |
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149 | |
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150 | // Create a Python module as well |
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151 | NB_MODULE(_dolfinx_access, m) { |
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152 | m.def("min_Function_f64_p2", &min_Function_f64_p2); |
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153 | m.def("max_Function_f64_p2", &max_Function_f64_p2); |
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154 | m.def("minmax_Function_f64_p2", &minmax_Function_f64_p2); |
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155 | m.def("eval_Function_f64", &eval_Function_f64); |
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156 | m.def("cell_Function_f64", &cell_Function_f64); |
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157 | // m.def("cell_Mesh_f64", &cell_Mesh_f64); |
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158 | m.def("cell_FunctionSpace_f64", &cell_FunctionSpace_f64); |
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159 | nanobind::class_<CoordValuePair>(m, "CoordValuePair") |
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160 | .def_rw("x", &CoordValuePair::x) |
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161 | .def_rw("v", &CoordValuePair::v); |
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162 | } |
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163 | |
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164 | } // namespace dolfinx_access |
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165 | |
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166 | // Forward declaration for manual registration |
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167 | extern "C" PyObject* PyInit__dolfinx_access(); |