Files
ConformalLabpp/code/include/euclidean_functional.hpp
Tarik Moussa 194effba97 feat(phase3f+3g): analytical Hessians + PI consolidation
Phase 3g — constants.hpp:
  - Introduce conformallab::PI and TWO_PI in a single constants.hpp
  - Remove scattered local PI/pi definitions from hyper_ideal_geometry.hpp,
    hyper_ideal_utility.hpp, euclidean_functional.hpp, mesh_builder.hpp,
    spherical_geometry.hpp (backward-compatible PI_SPHER alias kept)

Phase 3f — Euclidean Hessian (euclidean_hessian.hpp):
  - Cotangent-Laplace operator (Pinkall–Polthier 1993)
  - euclidean_cot_weights() helper + euclidean_hessian() + hessian_check_euclidean()
  - Correct Pinkall–Polthier 1/2 normalization factor
  - 8 tests: cot weights, symmetry, null-space (H·1=0), PSD, FD × 4 meshes

Phase 3f — Spherical Hessian (spherical_hessian.hpp):
  - Derives ∂α_i/∂u_j directly from the spherical law of cosines:
      ∂α1/∂l_opp  = sin(l_opp) / [sin(l_a)·sin(l_b)·sin(α1)]
      ∂α1/∂l_adj  = [cot(l_adj)·cos(α1) − cot(l_other)] / sin(α1)
    then chains with ∂l/∂λ = tan(l/2)
  - spherical_cot_weights() kept as a standalone helper (tested separately)
  - 8 tests: cot weights, symmetry, correct null-space & sign-convention
    (H·1 ≠ 0; H is NSD at equilibrium), FD × 3 meshes

All 62 cgal tests pass (3 skipped as before).

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-05-12 17:22:28 +02:00

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#pragma once
// euclidean_functional.hpp
//
// Energy and gradient of the Euclidean discrete conformal functional
// (EuclideanCyclicFunctional) evaluated on a ConformalMesh.
//
// Ported from de.varylab.discreteconformal.functional.EuclideanCyclicFunctional.
//
// ┌──────────────────────────────────────────────────────────────────────────┐
// │ DOFs │
// │ x[v_idx[v]] = u_v conformal factor at vertex v │
// │ x[e_idx[e]] = λ_e edge log-length variable (optional) │
// │ -1 means "pinned" (u_v = 0 / λ_e = 0, only λ° contributes) │
// │ │
// │ Effective log-length (always additive, unlike SphericalFunctional): │
// │ Λ̃_ij = λ°_ij + u_i + u_j + (x[e_idx[e]] if variable, else 0) │
// │ │
// │ Side length: l_ij = exp(Λ̃_ij / 2) │
// │ │
// │ Gradient: │
// │ ∂E/∂u_v = Θ_v Σ_{faces adj. v} α_v(face) │
// │ ∂E/∂λ_e = α_opp(face⁺) + α_opp(face⁻) φ_e │
// │ │
// │ Energy: │
// │ Computed as the path integral E(x) = ∫₀¹ ⟨G(tx), x⟩ dt │
// │ using 10-point Gauss-Legendre quadrature (same as SphericalFunctional)│
// │ This is E(0)=0 by construction and exact for conservative G. │
// └──────────────────────────────────────────────────────────────────────────┘
//
// Halfedge convention (identical to SphericalFunctional):
// h0 = mesh.halfedge(f), h1 = next(h0), h2 = next(h1)
// v1 = source(h0), v2 = source(h1), v3 = source(h2)
// h_alpha[h0] = α3 (angle at v3, opposite edge h0 = v1v2)
// h_alpha[h1] = α1 (angle at v1, opposite edge h1 = v2v3)
// h_alpha[h2] = α2 (angle at v2, opposite edge h2 = v3v1)
//
// Property-map name prefix: "ev:" (vertex) and "ee:" (edge).
#include "conformal_mesh.hpp"
#include "constants.hpp"
#include "euclidean_geometry.hpp"
#include <CGAL/boost/graph/iterator.h>
#include <vector>
#include <cmath>
#include <cstdint>
namespace conformallab {
// ── Property-map type aliases ─────────────────────────────────────────────────
using EuclVMapD = ConformalMesh::Property_map<Vertex_index, double>;
using EuclVMapI = ConformalMesh::Property_map<Vertex_index, int>;
using EuclEMapD = ConformalMesh::Property_map<Edge_index, double>;
using EuclEMapI = ConformalMesh::Property_map<Edge_index, int>;
// ── Persistent map bundle ─────────────────────────────────────────────────────
struct EuclideanMaps {
EuclVMapI v_idx; ///< DOF index per vertex (-1 = pinned / u_v = 0)
EuclEMapI e_idx; ///< DOF index per edge (-1 = no edge DOF)
EuclVMapD theta_v; ///< target cone angle Θ_v (default 2π)
EuclEMapD phi_e; ///< target edge turn angle φ_e (default π)
EuclEMapD lambda0; ///< base log-length λ°_e (default 0.0)
};
// Create and attach property maps with sensible defaults.
// theta_v = 2π (flat vertex), phi_e = π (interior edge, flat surface).
inline EuclideanMaps setup_euclidean_maps(ConformalMesh& mesh)
{
EuclideanMaps m;
m.v_idx = mesh.add_property_map<Vertex_index, int> ("ev:idx", -1 ).first;
m.e_idx = mesh.add_property_map<Edge_index, int> ("ee:idx", -1 ).first;
m.theta_v= mesh.add_property_map<Vertex_index, double>("ev:theta", TWO_PI ).first;
m.phi_e = mesh.add_property_map<Edge_index, double>("ee:phi", PI ).first;
m.lambda0= mesh.add_property_map<Edge_index, double>("ee:lam0", 0.0 ).first;
return m;
}
// Assign DOF indices 0..n-1 for all vertices only (no edge DOFs).
inline int assign_euclidean_vertex_dof_indices(ConformalMesh& mesh, EuclideanMaps& m)
{
int idx = 0;
for (auto v : mesh.vertices()) m.v_idx[v] = idx++;
return idx;
}
// Assign DOF indices for all vertices AND all edges.
inline int assign_euclidean_all_dof_indices(ConformalMesh& mesh, EuclideanMaps& m)
{
int idx = 0;
for (auto v : mesh.vertices()) m.v_idx[v] = idx++;
for (auto e : mesh.edges()) m.e_idx[e] = idx++;
return idx;
}
// Count variable DOFs (vertices + edges).
inline int euclidean_dimension(const ConformalMesh& mesh, const EuclideanMaps& m)
{
int dim = 0;
for (auto v : mesh.vertices()) if (m.v_idx[v] >= 0) ++dim;
for (auto e : mesh.edges()) if (m.e_idx[e] >= 0) ++dim;
return dim;
}
// Set lambda0 from mesh vertex positions (Euclidean):
// λ°_e = 2·log(|p_i p_j|) (natural log of Euclidean edge length squared)
//
// This gives exp(Λ̃_ij / 2) = l_ij at x=0.
inline void compute_euclidean_lambda0_from_mesh(ConformalMesh& mesh, EuclideanMaps& m)
{
for (auto e : mesh.edges()) {
auto h = mesh.halfedge(e);
auto p1 = mesh.point(mesh.source(h));
auto p2 = mesh.point(mesh.target(h));
double dx = p1.x() - p2.x();
double dy = p1.y() - p2.y();
double dz = p1.z() - p2.z();
double len = std::sqrt(dx*dx + dy*dy + dz*dz);
if (len > 1e-15)
m.lambda0[e] = 2.0 * std::log(len);
else
m.lambda0[e] = -30.0; // degenerate edge
}
}
// ── Internal helpers ──────────────────────────────────────────────────────────
static inline double eucl_dof_val(int idx, const std::vector<double>& x)
{
return idx >= 0 ? x[static_cast<std::size_t>(idx)] : 0.0;
}
static inline std::size_t eucl_hidx(Halfedge_index h)
{
return static_cast<std::size_t>(static_cast<std::uint32_t>(h));
}
// ── Gradient ──────────────────────────────────────────────────────────────────
//
// G_v = Θ_v Σ_{faces adj. v} α_v(face)
// G_e = α_opp(face⁺) + α_opp(face⁻) φ_e
//
// Corner-angle storage (h_alpha):
// h_alpha[h] = corner angle OPPOSITE to the edge of halfedge h in its face.
// h_alpha[h0] = α3, h_alpha[h1] = α1, h_alpha[h2] = α2
// (same convention as SphericalFunctional)
inline std::vector<double> euclidean_gradient(
ConformalMesh& mesh,
const std::vector<double>& x,
const EuclideanMaps& m)
{
const int n = euclidean_dimension(mesh, m);
std::vector<double> G(static_cast<std::size_t>(n), 0.0);
// Per-halfedge corner-angle storage.
const std::size_t nh = mesh.number_of_halfedges();
std::vector<double> h_alpha(nh, 0.0);
// ── Pass 1: compute corner angles per face ────────────────────────────────
for (auto f : mesh.faces()) {
Halfedge_index h0 = mesh.halfedge(f);
Halfedge_index h1 = mesh.next(h0);
Halfedge_index h2 = mesh.next(h1);
Vertex_index v1 = mesh.source(h0);
Vertex_index v2 = mesh.source(h1);
Vertex_index v3 = mesh.source(h2);
Edge_index e12 = mesh.edge(h0);
Edge_index e23 = mesh.edge(h1);
Edge_index e31 = mesh.edge(h2);
// Effective log-lengths (always additive: u_i + u_j regardless of DOF status)
double u1 = eucl_dof_val(m.v_idx[v1], x);
double u2 = eucl_dof_val(m.v_idx[v2], x);
double u3 = eucl_dof_val(m.v_idx[v3], x);
double lam12 = m.lambda0[e12] + u1 + u2 + eucl_dof_val(m.e_idx[e12], x);
double lam23 = m.lambda0[e23] + u2 + u3 + eucl_dof_val(m.e_idx[e23], x);
double lam31 = m.lambda0[e31] + u3 + u1 + eucl_dof_val(m.e_idx[e31], x);
auto fa = euclidean_angles(lam12, lam23, lam31);
if (!fa.valid) continue; // degenerate triangle: contributes 0
// h_alpha[h] = corner angle OPPOSITE to h's edge:
// h0 (edge v1v2) → opposite corner at v3 → α3
// h1 (edge v2v3) → opposite corner at v1 → α1
// h2 (edge v3v1) → opposite corner at v2 → α2
h_alpha[eucl_hidx(h0)] = fa.alpha3;
h_alpha[eucl_hidx(h1)] = fa.alpha1;
h_alpha[eucl_hidx(h2)] = fa.alpha2;
}
// ── Pass 2: accumulate vertex gradient ───────────────────────────────────
// G_v = Θ_v Σ h_alpha[prev(h)] for each incoming non-border h to v.
for (auto v : mesh.vertices()) {
int iv = m.v_idx[v];
if (iv < 0) continue;
double sum_alpha = 0.0;
for (auto h : CGAL::halfedges_around_target(v, mesh)) {
if (mesh.is_border(h)) continue;
sum_alpha += h_alpha[eucl_hidx(mesh.prev(h))];
}
G[static_cast<std::size_t>(iv)] = m.theta_v[v] - sum_alpha;
}
// ── Pass 3: accumulate edge gradient ─────────────────────────────────────
// G_e = α_opp(f⁺) + α_opp(f⁻) φ_e
// α_opp of edge e in face f = h_alpha[halfedge h of e pointing INTO f].
for (auto e : mesh.edges()) {
int ie = m.e_idx[e];
if (ie < 0) continue;
auto h = mesh.halfedge(e);
auto ho = mesh.opposite(h);
double sum = -m.phi_e[e];
if (!mesh.is_border(h)) sum += h_alpha[eucl_hidx(h)];
if (!mesh.is_border(ho)) sum += h_alpha[eucl_hidx(ho)];
G[static_cast<std::size_t>(ie)] = sum;
}
return G;
}
// ── Energy via Gauss-Legendre path integral ───────────────────────────────────
//
// E(x) = ∫₀¹ ⟨G(tx), x⟩ dt (10-point GL quadrature, same as SphericalFunctional)
inline double euclidean_energy(
ConformalMesh& mesh,
const std::vector<double>& x,
const EuclideanMaps& m)
{
static const double gl_s[10] = {
-0.9739065285171717, -0.8650633666889845,
-0.6794095682990244, -0.4333953941292472,
-0.1488743389816312, 0.1488743389816312,
0.4333953941292472, 0.6794095682990244,
0.8650633666889845, 0.9739065285171717
};
static const double gl_w[10] = {
0.0666713443086881, 0.1494513491505806,
0.2190863625159820, 0.2692667193099963,
0.2955242247147529, 0.2955242247147529,
0.2692667193099963, 0.2190863625159820,
0.1494513491505806, 0.0666713443086881
};
const std::size_t n = x.size();
double E = 0.0;
for (int k = 0; k < 10; ++k) {
double t = (1.0 + gl_s[k]) * 0.5;
double wt = gl_w[k] * 0.5;
std::vector<double> tx(n);
for (std::size_t i = 0; i < n; ++i) tx[i] = t * x[i];
auto G = euclidean_gradient(mesh, tx, m);
double dot = 0.0;
for (std::size_t i = 0; i < n; ++i) dot += G[i] * x[i];
E += wt * dot;
}
return E;
}
// ── Full evaluation (energy + gradient) ──────────────────────────────────────
struct EuclideanResult {
double energy = 0.0;
std::vector<double> gradient;
};
inline EuclideanResult evaluate_euclidean(
ConformalMesh& mesh,
const std::vector<double>& x,
const EuclideanMaps& m,
bool need_energy = true,
bool need_gradient = true)
{
EuclideanResult res;
if (need_gradient)
res.gradient = euclidean_gradient(mesh, x, m);
if (need_energy)
res.energy = euclidean_energy(mesh, x, m);
return res;
}
// ── Finite-difference gradient check ─────────────────────────────────────────
//
// Tests |G[i] (E(x+εeᵢ) E(xεeᵢ))/(2ε)| / max(1,|G[i]|) < tol
// for all variable DOFs.
inline bool gradient_check_euclidean(
ConformalMesh& mesh,
const std::vector<double>& x0,
const EuclideanMaps& m,
double eps = 1e-5,
double tol = 1e-4)
{
auto G = euclidean_gradient(mesh, x0, m);
const int n = static_cast<int>(G.size());
std::vector<double> xp = x0, xm = x0;
bool ok = true;
for (int i = 0; i < n; ++i) {
std::size_t si = static_cast<std::size_t>(i);
xp[si] = x0[si] + eps;
xm[si] = x0[si] - eps;
double Ep = euclidean_energy(mesh, xp, m);
double Em = euclidean_energy(mesh, xm, m);
xp[si] = xm[si] = x0[si]; // restore
double fd = (Ep - Em) / (2.0 * eps);
double err = std::abs(G[si] - fd);
double scale = std::max(1.0, std::abs(G[si]));
if (err / scale > tol) ok = false;
}
return ok;
}
} // namespace conformallab