19 std::shared_ptr<const State> state,
20 const bool scale_invariant,
22 const std::vector<int> &surface_selections,
23 const std::vector<int> &active_dims) :
AdjointForm(variable_to_simulations), state_(std::move(state)), scale_invariant_(scale_invariant), power_(power), active_dims_(active_dims)
25 const auto &mesh = *(
state_->mesh);
26 const int dim = mesh.dimension();
27 const int n_verts = mesh.n_vertices();
28 assert(mesh.is_simplicial());
30 surface_ids_ = std::set(surface_selections.begin(), surface_selections.end());
33 std::vector<bool> active_mask;
34 active_mask.assign(n_verts,
false);
35 std::vector<Eigen::Triplet<bool>> T_adj;
37 for (
int b = 0; b < mesh.n_boundary_elements(); b++)
39 const int boundary_id = mesh.get_boundary_id(b);
43 for (
int lv = 0; lv < dim; lv++)
45 active_mask[mesh.boundary_element_vertex(b, lv)] =
true;
48 for (
int lv1 = 0; lv1 < dim; lv1++)
49 for (
int lv2 = 0; lv2 < lv1; lv2++)
51 const int v1 = mesh.boundary_element_vertex(b, lv1);
52 const int v2 = mesh.boundary_element_vertex(b, lv2);
53 T_adj.emplace_back(v2, v1,
true);
54 T_adj.emplace_back(v1, v2,
true);
59 adj.resize(n_verts, n_verts);
60 adj.setFromTriplets(T_adj.begin(), T_adj.end());
62 std::vector<int> degrees(n_verts, 0);
63 for (
int k = 0; k <
adj.outerSize(); ++k)
64 for (Eigen::SparseMatrix<bool, Eigen::RowMajor>::InnerIterator it(
adj, k); it; ++it)
68 L.resize(n_verts, n_verts);
71 std::vector<Eigen::Triplet<double>> T_L;
72 for (
int k = 0; k <
adj.outerSize(); ++k)
76 T_L.emplace_back(k, k, 1);
77 for (Eigen::SparseMatrix<bool, Eigen::RowMajor>::InnerIterator it(
adj, k); it; ++it)
79 assert(it.row() == k);
80 T_L.emplace_back(it.row(), it.col(), -1. / degrees[k]);
83 L.setFromTriplets(T_L.begin(), T_L.end());
84 L.prune([](
int i,
int j,
double val) {
return abs(
val) > 1e-12; });
131 const auto &mesh = *(
state_->mesh);
132 const int dim = mesh.dimension();
133 const int n_verts = mesh.n_vertices();
135 Eigen::VectorXd grad;
138 grad.setZero(n_verts * dim);
139 for (
int b = 0; b <
adj.rows(); b++)
146 for (Eigen::SparseMatrix<bool, Eigen::RowMajor>::InnerIterator it(
adj, b); it; ++it)
148 assert(it.col() != b);
151 sum_norm +=
x.norm();
152 sum_normalized +=
x.normalized();
158 const double coeff =
power_ * pow(s.norm(),
power_ - 2.) / sum_norm;
160 grad.segment(b * dim, dim) += (s * valence - s.squaredNorm() * sum_normalized) * coeff;
161 for (Eigen::SparseMatrix<bool, Eigen::RowMajor>::InnerIterator it(
adj, b); it; ++it)
162 grad.segment(it.col() * dim, dim) -= (s + s.squaredNorm() * (mesh.point(it.col()) - mesh.point(b)).normalized()) * coeff;
171 Eigen::MatrixXd grad_mat = 2 * (
L.transpose() * (
L *
V));
172 for (
int d = 0; d < dim; d++)
174 grad_mat.col(d).setZero();