22#include <igl/per_face_normals.h>
27 using namespace assembler;
28 using namespace basis;
32 void flattened_tensor_coeffs(
const Eigen::MatrixXd &S, Eigen::MatrixXd &X)
36 X.resize(S.rows(), 3);
41 else if (S.cols() == 9)
44 X.resize(S.rows(), 6);
54 logger().error(
"Invalid tensor dimensions.");
61 const bool is_problem_scalar,
62 const std::vector<basis::ElementBases> &bases,
63 const std::vector<basis::ElementBases> &gbases,
64 const Eigen::MatrixXd &pts,
65 const Eigen::MatrixXi &
faces,
66 const Eigen::MatrixXd &fun,
67 const bool compute_avg,
68 Eigen::MatrixXd &result)
72 logger().error(
"Solve the problem first!");
77 const Mesh3D &mesh3d =
dynamic_cast<const Mesh3D &
>(mesh);
79 Eigen::MatrixXd points, uv;
80 Eigen::VectorXd weights;
83 if (!is_problem_scalar)
86 igl::AABB<Eigen::MatrixXd, 3> tree;
87 tree.init(pts,
faces);
89 result.resize(
faces.rows(), actual_dim);
90 result.setConstant(std::numeric_limits<double>::quiet_NaN());
101 const int face_id = mesh3d.
cell_face(e, lf);
124 for (
size_t j = 0; j < bs.
bases.size(); ++j)
129 for (
int d = 0; d < actual_dim; ++d)
131 for (
size_t g = 0; g < v.
global.size(); ++g)
133 loc_val(d) += (v.
global[g].val * v.
val.array() * fun(v.
global[g].index * actual_dim + d) * weights.array()).sum();
139 Eigen::RowVector3d C;
142 const double dist = tree.squared_distance(pts,
faces, bary, I, C);
143 assert(dist < 1e-16);
145 assert(std::isnan(result(I, 0)));
147 result.row(I) = loc_val / weights.sum();
149 result.row(I) = loc_val;
154 assert(counter == result.rows());
159 const bool is_problem_scalar,
161 const std::vector<basis::ElementBases> &bases,
162 const std::vector<basis::ElementBases> &gbases,
163 const Eigen::VectorXi &disc_orders,
164 const Eigen::VectorXi &disc_ordersq,
165 const std::map<int, Eigen::MatrixXd> &polys,
166 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
171 const Eigen::MatrixXd &fun,
172 std::vector<assembler::Assembler::NamedMatrix> &result_scalar,
173 std::vector<assembler::Assembler::NamedMatrix> &result_tensor,
174 const bool use_sampler,
175 const bool boundary_only)
177 result_scalar.clear();
178 result_tensor.clear();
182 logger().error(
"Solve the problem first!");
185 if (is_problem_scalar)
187 logger().error(
"Define a tensor problem!");
191 assert(!is_problem_scalar);
194 std::vector<Eigen::MatrixXd> avg_scalar, avg_tensor;
196 Eigen::MatrixXd areas(n_bases, 1);
199 std::vector<std::pair<std::string, Eigen::MatrixXd>> tmp_s, tmp_t;
200 Eigen::MatrixXd local_val;
203 for (
int i = 0; i < int(bases.size()); ++i)
207 Eigen::MatrixXd local_pts;
234 vals.compute(i, actual_dim == 3, bases[i], gbases[i]);
236 const double area = (
vals.det.array() *
quadrature.weights.array()).sum();
241 for (
size_t j = 0; j < bs.
bases.size(); ++j)
244 if (b.global().size() > 1)
247 auto &global = b.global().front();
248 areas(global.index) += area;
251 if (avg_scalar.empty())
253 avg_scalar.resize(tmp_s.size());
254 for (
auto &m : avg_scalar)
256 m.resize(n_bases, 1);
261 if (avg_tensor.empty())
263 avg_tensor.resize(tmp_t.size());
264 for (
auto &m : avg_tensor)
266 m.resize(n_bases, actual_dim * actual_dim);
271 for (
int k = 0; k < tmp_s.size(); ++k)
273 local_val = tmp_s[k].second;
275 for (
size_t j = 0; j < bs.
bases.size(); ++j)
278 if (b.global().size() > 1)
281 auto &global = b.global().front();
282 avg_scalar[k](global.index) += local_val(j) * area;
286 for (
int k = 0; k < tmp_t.size(); ++k)
288 local_val = tmp_t[k].second;
290 for (
size_t j = 0; j < bs.
bases.size(); ++j)
293 if (b.global().size() > 1)
296 auto &global = b.global().front();
297 avg_tensor[k].row(global.index) += local_val.row(j) * area;
302 for (
auto &m : avg_scalar)
304 m.array() /= areas.array();
307 for (
auto &m : avg_tensor)
309 for (
int i = 0; i < m.rows(); ++i)
311 m.row(i).array() /= areas(i);
315 result_scalar.resize(tmp_s.size());
316 for (
int k = 0; k < tmp_s.size(); ++k)
318 result_scalar[k].first = tmp_s[k].first;
319 interpolate_function(mesh, 1, bases, disc_orders, disc_ordersq, polys, polys_3d, sampler, n_points,
320 avg_scalar[k], result_scalar[k].second, use_sampler, boundary_only);
323 result_tensor.resize(tmp_t.size());
324 for (
int k = 0; k < tmp_t.size(); ++k)
326 result_tensor[k].first = tmp_t[k].first;
327 interpolate_function(mesh, actual_dim * actual_dim, bases, disc_orders, disc_ordersq, polys, polys_3d, sampler, n_points,
328 utils::flatten(avg_tensor[k]), result_tensor[k].second, use_sampler, boundary_only);
334 const bool is_problem_scalar,
335 const std::vector<basis::ElementBases> &bases,
336 const std::vector<basis::ElementBases> &gbases,
337 const Eigen::VectorXi &disc_orders,
338 const Eigen::VectorXi &disc_ordersq,
340 const Eigen::MatrixXd &fun,
342 Eigen::MatrixXd &result,
343 Eigen::VectorXd &von_mises)
352 logger().error(
"Solve the problem first!");
355 if (is_problem_scalar)
357 logger().error(
"Define a tensor problem!");
362 assert(!is_problem_scalar);
364 Eigen::MatrixXd local_val, local_stress, local_mises;
366 int num_quadr_pts = 0;
367 result.resize(disc_orders.sum(), actual_dim == 2 ? 3 : 6);
369 von_mises.resize(disc_orders.sum(), 1);
380 f.get_quadrature(disc_orders(e), quadr);
385 f.get_quadrature(disc_orders(e), quadr);
393 f.get_quadrature(disc_orders(e), quadr);
398 f.get_quadrature(disc_orders(e), quadr);
406 f.get_quadrature(disc_orders(e), disc_ordersq(e), quadr);
413 std::vector<std::pair<std::string, Eigen::MatrixXd>> tmp_s, tmp_t;
418 local_mises = tmp_s[0].second;
419 local_val = tmp_t[0].second;
421 if (num_quadr_pts + local_val.rows() >= result.rows())
423 result.conservativeResize(
424 std::max(num_quadr_pts + local_val.rows() + 1, 2 * result.rows()),
426 von_mises.conservativeResize(result.rows(), von_mises.cols());
428 flattened_tensor_coeffs(local_val, local_stress);
429 result.block(num_quadr_pts, 0, local_stress.rows(), local_stress.cols()) = local_stress;
430 von_mises.block(num_quadr_pts, 0, local_mises.rows(), local_mises.cols()) = local_mises;
431 num_quadr_pts += local_val.rows();
433 result.conservativeResize(num_quadr_pts, result.cols());
434 von_mises.conservativeResize(num_quadr_pts, von_mises.cols());
439 const bool is_problem_scalar,
440 const std::vector<basis::ElementBases> &bases,
441 const Eigen::VectorXi &disc_orders,
442 const Eigen::VectorXi &disc_ordersq,
443 const std::map<int, Eigen::MatrixXd> &polys,
444 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
447 const Eigen::MatrixXd &fun,
448 Eigen::MatrixXd &result,
449 const bool use_sampler,
450 const bool boundary_only)
453 if (!is_problem_scalar)
456 polys, polys_3d, sampler, n_points,
457 fun, result, use_sampler, boundary_only);
462 const std::vector<basis::ElementBases> &gbasis,
463 const std::vector<basis::ElementBases> &basis,
464 const Eigen::VectorXi &disc_orders,
465 const std::map<int, Eigen::MatrixXd> &polys,
466 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
469 const Eigen::MatrixXd &fun,
470 Eigen::Vector<bool, -1> &result,
471 const bool use_sampler,
472 const bool boundary_only)
476 logger().error(
"Solve the problem first!");
480 result.setZero(n_points);
484 Eigen::MatrixXi vis_faces_poly, vis_edges_poly;
488 for (
int i = 0; i < int(basis.size()); ++i)
491 Eigen::MatrixXd local_pts;
505 sampler.
sample_polyhedron(polys_3d.at(i).first, polys_3d.at(i).second, local_pts, vis_faces_poly, vis_edges_poly);
507 sampler.
sample_polygon(polys.at(i), local_pts, vis_faces_poly, vis_edges_poly);
532 if (std::find(invalidList.begin(), invalidList.end(), i) != invalidList.end())
533 result.segment(index, local_pts.rows()).array() =
true;
534 index += local_pts.rows();
540 const int actual_dim,
541 const std::vector<basis::ElementBases> &basis,
542 const Eigen::VectorXi &disc_orders,
543 const Eigen::VectorXi &disc_ordersq,
544 const std::map<int, Eigen::MatrixXd> &polys,
545 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
548 const Eigen::MatrixXd &fun,
549 Eigen::MatrixXd &result,
550 const bool use_sampler,
551 const bool boundary_only)
555 logger().error(
"Solve the problem first!");
558 assert(fun.cols() == 1);
560 std::vector<AssemblyValues> tmp;
562 result.resize(n_points, actual_dim);
566 Eigen::MatrixXi vis_faces_poly, vis_edges_poly;
568 for (
int i = 0; i < int(basis.size()); ++i)
571 Eigen::MatrixXd local_pts;
587 sampler.
sample_polyhedron(polys_3d.at(i).first, polys_3d.at(i).second, local_pts, vis_faces_poly, vis_edges_poly);
589 sampler.
sample_polygon(polys.at(i), local_pts, vis_faces_poly, vis_edges_poly);
616 Eigen::MatrixXd local_res = Eigen::MatrixXd::Zero(local_pts.rows(), actual_dim);
618 for (
size_t j = 0; j < bs.
bases.size(); ++j)
622 for (
int d = 0; d < actual_dim; ++d)
624 for (
size_t ii = 0; ii < b.global().size(); ++ii)
625 local_res.col(d) += b.global()[ii].val * tmp[j].val * fun(b.global()[ii].index * actual_dim + d);
629 result.block(index, 0, local_res.rows(), actual_dim) = local_res;
630 index += local_res.rows();
636 const bool is_problem_scalar,
637 const std::vector<basis::ElementBases> &bases,
638 const std::vector<basis::ElementBases> &gbases,
640 const Eigen::MatrixXd &local_pts,
641 const Eigen::MatrixXd &fun,
642 Eigen::MatrixXd &result,
643 Eigen::MatrixXd &result_grad)
646 if (!is_problem_scalar)
649 local_pts, fun, result, result_grad);
654 const int actual_dim,
655 const std::vector<basis::ElementBases> &bases,
656 const std::vector<basis::ElementBases> &gbases,
658 const Eigen::MatrixXd &local_pts,
659 const Eigen::MatrixXd &fun,
660 Eigen::MatrixXd &result,
661 Eigen::MatrixXd &result_grad)
665 logger().error(
"Solve the problem first!");
669 assert(local_pts.cols() == mesh.
dimension());
670 assert(fun.cols() == 1);
678 result.resize(
vals.val.rows(), actual_dim);
681 result_grad.resize(
vals.val.rows(), mesh.
dimension() * actual_dim);
682 result_grad.setZero();
684 const int n_loc_bases = int(
vals.basis_values.size());
686 for (
int i = 0; i < n_loc_bases; ++i)
688 const auto &
val =
vals.basis_values[i];
690 for (
size_t ii = 0; ii <
val.global.size(); ++ii)
692 for (
int d = 0; d < actual_dim; ++d)
694 result.col(d) +=
val.global[ii].val * fun(
val.global[ii].index * actual_dim + d) *
val.val;
695 result_grad.block(0, d *
val.grad_t_m.cols(), result_grad.rows(),
val.grad_t_m.cols()) +=
val.global[ii].val * fun(
val.global[ii].index * actual_dim + d) *
val.grad_t_m;
705 logger().error(
"Solve the problem first!");
709 assert(fun.cols() == 1);
711 result.resize(
vals.val.rows(), actual_dim);
714 result_grad.resize(
vals.val.rows(), dim * actual_dim);
715 result_grad.setZero();
717 const int n_loc_bases = int(
vals.basis_values.size());
719 for (
int i = 0; i < n_loc_bases; ++i)
721 const auto &
val =
vals.basis_values[i];
723 for (
size_t ii = 0; ii <
val.global.size(); ++ii)
725 for (
int d = 0; d < actual_dim; ++d)
727 result.col(d) +=
val.global[ii].val * fun(
val.global[ii].index * actual_dim + d) *
val.val;
728 result_grad.block(0, d *
val.grad_t_m.cols(), result_grad.rows(),
val.grad_t_m.cols()) +=
val.global[ii].val * fun(
val.global[ii].index * actual_dim + d) *
val.grad_t_m;
736 const bool is_problem_scalar,
737 const std::vector<basis::ElementBases> &bases,
738 const std::vector<basis::ElementBases> &gbases,
739 const Eigen::VectorXi &disc_orders,
740 const Eigen::VectorXi &disc_ordersq,
741 const std::map<int, Eigen::MatrixXd> &polys,
742 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
745 const Eigen::MatrixXd &fun,
747 const bool use_sampler,
748 const bool boundary_only)
752 logger().error(
"Solve the problem first!");
756 assert(!is_problem_scalar);
758 Eigen::MatrixXi vis_faces_poly, vis_edges_poly;
760 std::vector<std::pair<std::string, Eigen::MatrixXd>> tmp_s;
762 for (
int i = 0; i < int(bases.size()); ++i)
769 Eigen::MatrixXd local_pts;
782 sampler.
sample_polyhedron(polys_3d.at(i).first, polys_3d.at(i).second, local_pts, vis_faces_poly, vis_edges_poly);
784 sampler.
sample_polygon(polys.at(i), local_pts, vis_faces_poly, vis_edges_poly);
813 for (
const auto &s : tmp_s)
814 if (std::isnan(s.second.norm()))
823 const bool is_problem_scalar,
824 const std::vector<basis::ElementBases> &bases,
825 const std::vector<basis::ElementBases> &gbases,
826 const Eigen::VectorXi &disc_orders,
827 const Eigen::VectorXi &disc_ordersq,
828 const std::map<int, Eigen::MatrixXd> &polys,
829 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
833 const Eigen::MatrixXd &fun,
835 std::vector<assembler::Assembler::NamedMatrix> &result,
836 const bool use_sampler,
837 const bool boundary_only)
841 logger().error(
"Solve the problem first!");
847 assert(!is_problem_scalar);
851 Eigen::MatrixXi vis_faces_poly, vis_edges_poly;
852 std::vector<std::pair<std::string, Eigen::MatrixXd>> tmp_s;
854 for (
int i = 0; i < int(bases.size()); ++i)
861 Eigen::MatrixXd local_pts;
874 sampler.
sample_polyhedron(polys_3d.at(i).first, polys_3d.at(i).second, local_pts, vis_faces_poly, vis_edges_poly);
876 sampler.
sample_polygon(polys.at(i), local_pts, vis_faces_poly, vis_edges_poly);
907 result.resize(tmp_s.size());
908 for (
int k = 0; k < tmp_s.size(); ++k)
910 result[k].first = tmp_s[k].first;
911 result[k].second.resize(n_points, 1);
915 for (
int k = 0; k < tmp_s.size(); ++k)
917 assert(local_pts.rows() == tmp_s[k].second.rows());
918 result[k].second.block(index, 0, tmp_s[k].second.rows(), 1) = tmp_s[k].second;
920 index += local_pts.rows();
926 const bool is_problem_scalar,
927 const std::vector<basis::ElementBases> &bases,
928 const std::vector<basis::ElementBases> &gbases,
929 const Eigen::VectorXi &disc_orders,
930 const Eigen::VectorXi &disc_ordersq,
931 const std::map<int, Eigen::MatrixXd> &polys,
932 const std::map<
int, std::pair<Eigen::MatrixXd, Eigen::MatrixXi>> &polys_3d,
936 const Eigen::MatrixXd &fun,
938 std::vector<assembler::Assembler::NamedMatrix> &result,
939 const bool use_sampler,
940 const bool boundary_only)
944 logger().error(
"Solve the problem first!");
951 assert(!is_problem_scalar);
955 Eigen::MatrixXi vis_faces_poly, vis_edges_poly;
956 std::vector<std::pair<std::string, Eigen::MatrixXd>> tmp_t;
958 for (
int i = 0; i < int(bases.size()); ++i)
965 Eigen::MatrixXd local_pts;
978 sampler.
sample_polyhedron(polys_3d.at(i).first, polys_3d.at(i).second, local_pts, vis_faces_poly, vis_edges_poly);
980 sampler.
sample_polygon(polys.at(i), local_pts, vis_faces_poly, vis_edges_poly);
1011 result.resize(tmp_t.size());
1012 for (
int k = 0; k < tmp_t.size(); ++k)
1014 result[k].first = tmp_t[k].first;
1015 result[k].second.resize(n_points, actual_dim * actual_dim);
1019 for (
int k = 0; k < tmp_t.size(); ++k)
1021 assert(local_pts.rows() == tmp_t[k].second.rows());
1022 result[k].second.block(index, 0, tmp_t[k].second.rows(), tmp_t[k].second.cols()) = tmp_t[k].second;
1024 index += local_pts.rows();
1030 const std::shared_ptr<mesh::MeshNodes> mesh_nodes)
1032 Eigen::MatrixXd func;
1033 func.setZero(n_bases, mesh_nodes->node_position(0).size());
1035 for (
int i = 0; i < n_bases; i++)
1036 func.row(i) = mesh_nodes->node_position(i);
1043 const std::shared_ptr<mesh::MeshNodes> mesh_nodes,
1044 const Eigen::MatrixXd &grad)
1050 const std::vector<basis::ElementBases> &bases,
1051 const std::vector<basis::ElementBases> &gbases,
1052 const Eigen::MatrixXd &fun,
1054 const int actual_dim)
1056 Eigen::VectorXd result;
1057 result.setZero(actual_dim);
1058 for (
int e = 0; e < bases.size(); ++e)
1063 Eigen::MatrixXd u, grad_u;
1067 result += u.transpose() *
da;
ElementAssemblyValues vals
std::vector< Eigen::VectorXi > faces
virtual void compute_scalar_value(const OutputData &data, std::vector< NamedMatrix > &result) const
virtual void compute_tensor_value(const OutputData &data, std::vector< NamedMatrix > &result) const
stores per local bases evaluations
std::vector< basis::Local2Global > global
stores per element basis values at given quadrature points and geometric mapping
void compute(const int el_index, const bool is_volume, const Eigen::MatrixXd &pts, const basis::ElementBases &basis, const basis::ElementBases &gbasis)
computes the per element values at the local (ref el) points (pts) sets basis_values,...
Represents one basis function and its gradient.
Stores the basis functions for a given element in a mesh (facet in 2d, cell in 3d).
void evaluate_bases(const Eigen::MatrixXd &uv, std::vector< assembler::AssemblyValues > &basis_values) const
evaluate stored bases at given points on the reference element saves results to basis_values
std::vector< Basis > bases
one basis function per node in the element
static Eigen::MatrixXd generate_linear_field(const int n_bases, const std::shared_ptr< mesh::MeshNodes > mesh_nodes, const Eigen::MatrixXd &grad)
static void interpolate_at_local_vals(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const int el_index, const Eigen::MatrixXd &local_pts, const Eigen::MatrixXd &fun, Eigen::MatrixXd &result, Eigen::MatrixXd &result_grad)
interpolate solution and gradient at element (calls interpolate_at_local_vals with sol)
static void average_grad_based_function(const mesh::Mesh &mesh, const bool is_problem_scalar, const int n_bases, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const assembler::Assembler &assembler, const utils::RefElementSampler &sampler, const double t, const int n_points, const Eigen::MatrixXd &fun, std::vector< assembler::Assembler::NamedMatrix > &result_scalar, std::vector< assembler::Assembler::NamedMatrix > &result_tensor, const bool use_sampler, const bool boundary_only)
calls compute_scalar_value (i.e von mises for elasticity and norm of velocity for fluid) and compute_...
static Eigen::MatrixXd get_bases_position(const int n_bases, const std::shared_ptr< mesh::MeshNodes > mesh_nodes)
static void compute_scalar_value(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const assembler::Assembler &assembler, const utils::RefElementSampler &sampler, const int n_points, const Eigen::MatrixXd &fun, const double t, std::vector< assembler::Assembler::NamedMatrix > &result, const bool use_sampler, const bool boundary_only)
computes scalar quantity of funtion (ie von mises for elasticity and norm of velocity for fluid)
static void compute_tensor_value(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const assembler::Assembler &assembler, const utils::RefElementSampler &sampler, const int n_points, const Eigen::MatrixXd &fun, const double t, std::vector< assembler::Assembler::NamedMatrix > &result, const bool use_sampler, const bool boundary_only)
compute tensor quantity (ie stress tensor or velocity)
bool check_scalar_value(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const assembler::Assembler &assembler, const utils::RefElementSampler &sampler, const Eigen::MatrixXd &fun, const double t, const bool use_sampler, const bool boundary_only)
checks if mises are not nan
static void interpolate_boundary_function(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::MatrixXd &pts, const Eigen::MatrixXi &faces, const Eigen::MatrixXd &fun, const bool compute_avg, Eigen::MatrixXd &result)
computes integrated solution (fun) per surface face.
static void mark_flipped_cells(const mesh::Mesh &mesh, const std::vector< basis::ElementBases > &gbasis, const std::vector< basis::ElementBases > &basis, const Eigen::VectorXi &disc_orders, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const utils::RefElementSampler &sampler, const int n_points, const Eigen::MatrixXd &fun, Eigen::Vector< bool, -1 > &result, const bool use_sampler, const bool boundary_only)
static void interpolate_function(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const std::map< int, Eigen::MatrixXd > &polys, const std::map< int, std::pair< Eigen::MatrixXd, Eigen::MatrixXi > > &polys_3d, const utils::RefElementSampler &sampler, const int n_points, const Eigen::MatrixXd &fun, Eigen::MatrixXd &result, const bool use_sampler, const bool boundary_only)
interpolate the function fun.
static void compute_stress_at_quadrature_points(const mesh::Mesh &mesh, const bool is_problem_scalar, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXi &disc_orders, const Eigen::VectorXi &disc_ordersq, const assembler::Assembler &assembler, const Eigen::MatrixXd &fun, const double t, Eigen::MatrixXd &result, Eigen::VectorXd &von_mises)
compute von mises stress at quadrature points for the function fun, also compute the interpolated fun...
static Eigen::VectorXd integrate_function(const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::MatrixXd &fun, const int dim, const int actual_dim)
virtual int n_cell_faces(const int c_id) const =0
virtual int cell_face(const int c_id, const int lf_id) const =0
Abstract mesh class to capture 2d/3d conforming and non-conforming meshes.
int n_elements() const
utitlity to return the number of elements, cells or faces in 3d and 2d
virtual RowVectorNd face_barycenter(const int f) const =0
face barycenter
bool is_cube(const int el_id) const
checks if element is cube compatible
virtual bool is_boundary_face(const int face_global_id) const =0
is face boundary
bool is_simplex(const int el_id) const
checks if element is simplex
bool is_prism(const int el_id) const
checks if element is a prism
virtual bool is_volume() const =0
checks if mesh is volume
int dimension() const
utily for dimension
virtual bool is_boundary_element(const int element_global_id) const =0
is cell boundary
static void quadrature_for_quad_face(int index, int order, const int gid, const mesh::Mesh &mesh, Eigen::MatrixXd &uv, Eigen::MatrixXd &points, Eigen::VectorXd &weights)
static void quadrature_for_tri_face(int index, int order, const int gid, const mesh::Mesh &mesh, Eigen::MatrixXd &uv, Eigen::MatrixXd &points, Eigen::VectorXd &weights)
static void quadrature_for_prism_face(int index, int orderp, int orderq, const int gid, const mesh::Mesh &mesh, Eigen::MatrixXd &uv, Eigen::MatrixXd &points, Eigen::VectorXd &weights)
const Eigen::MatrixXd & prism_points() const
void sample_polygon(const Eigen::MatrixXd &poly, Eigen::MatrixXd &pts, Eigen::MatrixXi &faces, Eigen::MatrixXi &edges) const
const Eigen::MatrixXd & simplex_points() const
void sample_polyhedron(const Eigen::MatrixXd &vertices, const Eigen::MatrixXi &f, Eigen::MatrixXd &pts, Eigen::MatrixXi &faces, Eigen::MatrixXi &edges) const
const Eigen::MatrixXd & cube_points() const
void q_nodes_2d(const int q, Eigen::MatrixXd &val)
void prism_nodes_3d(const int p, const int q, Eigen::MatrixXd &val)
void p_nodes_2d(const int p, Eigen::MatrixXd &val)
void p_nodes_3d(const int p, Eigen::MatrixXd &val)
void q_nodes_3d(const int q, Eigen::MatrixXd &val)
std::vector< int > count_invalid(const int dim, const std::vector< basis::ElementBases > &bases, const std::vector< basis::ElementBases > &gbases, const Eigen::VectorXd &u)
Eigen::VectorXd flatten(const Eigen::MatrixXd &X)
Flatten rowwises.
spdlog::logger & logger()
Retrieves the current logger.
Eigen::Matrix< double, 1, Eigen::Dynamic, Eigen::RowMajor, 1, 3 > RowVectorNd