feat(phase3d+3e): port EuclideanCyclicFunctional + add SphericalFunctional gauge-fix

Phase 3d — EuclideanCyclicFunctional:
  • euclidean_geometry.hpp: t-value / atan2 corner-angle formula with
    centering trick (μ = (Λ̃₁₂+Λ̃₂₃+Λ̃₃₁)/6) for numerical stability
  • euclidean_functional.hpp: EuclideanMaps bundle, gradient (G_v = Θ_v − Σα_v,
    G_e = α_opp⁺ + α_opp⁻ − φ_e), 10-point GL path-integral energy,
    gradient_check_euclidean — identical halfedge convention to SphericalFunctional
  • test_euclidean_functional.cpp: 11 tests (1 skip) covering angle formula,
    right-isosceles triangle, angle sum = π, degenerate detection, gradient
    checks on triangle/quad-strip/tetrahedron/fan-5/mixed-pinned, NaN check

Phase 3e — Spherical gauge-fix:
  • spherical_gauge_shift(): Newton + backtracking line search to find t*
    where ΣG_v(x + t·1) = 0 (maximises E along the global scale direction);
    bisection used when sign change is detectable, Newton+backtrack otherwise
  • apply_spherical_gauge(): in-place wrapper
  • 3 new tests: GaugeFix_SpherTetVertexZerosSumGv, GaugeFix_ApplyInPlace,
    GaugeFix_AlreadyAtGaugeReturnsTNearZero

Total: 45 cgal tests pass, 3 skipped (@Ignore Hessian stubs, one per functional)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Tarik Moussa
2026-05-12 07:39:14 +02:00
parent dc0d3ca005
commit 8c353bb884
7 changed files with 924 additions and 21 deletions

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@@ -4,7 +4,7 @@ conformallab++ is a modern C++ reimplementation of the [ConformalLab](https://gi
The long-term goal is a **CGAL package** that brings discrete conformal maps (hyper-ideal, spherical, Euclidean) to the CGAL ecosystem using `CGAL::Surface_mesh` as the underlying half-edge data structure. The long-term goal is a **CGAL package** that brings discrete conformal maps (hyper-ideal, spherical, Euclidean) to the CGAL ecosystem using `CGAL::Surface_mesh` as the underlying half-edge data structure.
> **Status:** Phase 3 abgeschlossen. Kern-Geometrie (Clausen, Hyper-Ideal, Sphärisch) und CGAL-Mesh-Infrastruktur sind vorhanden. Zum Abschluss von Phase 3 und als Vorbereitung für Phase 4 stehen noch sechs konkrete Schritte aus — siehe [Roadmap](#roadmap). > **Status:** Phasen 3d + 3e abgeschlossen. Alle drei Kern-Geometrien (Hyper-Ideal, Sphärisch, Euklidisch) plus Sphärischer Gauge-Fix sind auf `ConformalMesh` portiert. **45 Tests, 3 skipped** (Hessian-Stubs). Nächster Schritt: Phase 3f (Hessian) → Phase 4 (Newton-Solver) — siehe [Roadmap](#roadmap).
--- ---
@@ -17,7 +17,8 @@ The long-term goal is a **CGAL package** that brings discrete conformal maps (hy
| Hyper-ideal functional (energy + gradient, CGAL mesh) | ✅ Phase 3b | | Hyper-ideal functional (energy + gradient, CGAL mesh) | ✅ Phase 3b |
| Spherical functional (energy + gradient, CGAL mesh) | ✅ Phase 3c | | Spherical functional (energy + gradient, CGAL mesh) | ✅ Phase 3c |
| CGAL `Surface_mesh` infrastructure + mesh builders | ✅ Phase 3a | | CGAL `Surface_mesh` infrastructure + mesh builders | ✅ Phase 3a |
| Euclidean functional | 🔜 Phase 4 | | Euclidean functional (energy + gradient, CGAL mesh) | Phase 3d |
| Spherical gauge-fix (scale gauge for closed surfaces) | ✅ Phase 3e |
| Solvers (Newton, gradient flow) | 🔜 Phase 4 | | Solvers (Newton, gradient flow) | 🔜 Phase 4 |
| XML serialisation / mesh I/O | 🔜 Phase 5 | | XML serialisation / mesh I/O | 🔜 Phase 5 |
| Full CLI app | 🔜 Phase 5 | | Full CLI app | 🔜 Phase 5 |
@@ -72,7 +73,7 @@ cmake --build build --target conformallab_cgal_tests -j$(nproc)
ctest --test-dir build -R "^cgal\." --output-on-failure ctest --test-dir build -R "^cgal\." --output-on-failure
``` ```
Expected output: **30 tests pass, 2 skipped** (the two `@Ignore` Hessian stubs). Expected output: **45 tests pass, 3 skipped** (the three `@Ignore` Hessian stubs, one per functional).
### Full CLI app (CGAL + viewer) ### Full CLI app (CGAL + viewer)
@@ -93,7 +94,9 @@ cmake --build build -j$(nproc)
| `hyper_ideal_utility.hpp` | Tetrahedron volume (Meyerhoff / KolpakovMednykh) | | `hyper_ideal_utility.hpp` | Tetrahedron volume (Meyerhoff / KolpakovMednykh) |
| `hyper_ideal_functional.hpp` | Hyper-ideal energy + gradient on `ConformalMesh` | | `hyper_ideal_functional.hpp` | Hyper-ideal energy + gradient on `ConformalMesh` |
| `spherical_geometry.hpp` | Spherical arc length, half-angle angle formula | | `spherical_geometry.hpp` | Spherical arc length, half-angle angle formula |
| `spherical_functional.hpp` | Spherical energy + gradient on `ConformalMesh` | | `spherical_functional.hpp` | Spherical energy + gradient + gauge-fix on `ConformalMesh` |
| `euclidean_geometry.hpp` | Euclidean corner-angle formula (t-value / atan2) |
| `euclidean_functional.hpp` | Euclidean energy + gradient on `ConformalMesh` |
| `conformal_mesh.hpp` | `ConformalMesh` = `CGAL::Surface_mesh<Point3>`, index types, property-map helpers | | `conformal_mesh.hpp` | `ConformalMesh` = `CGAL::Surface_mesh<Point3>`, index types, property-map helpers |
| `mesh_builder.hpp` | Factory meshes: triangle, tetrahedron, quad strip, fan, spherical tetrahedron, octahedron face | | `mesh_builder.hpp` | Factory meshes: triangle, tetrahedron, quad strip, fan, spherical tetrahedron, octahedron face |
| `discrete_elliptic_utility.hpp` | Discrete elliptic integrals | | `discrete_elliptic_utility.hpp` | Discrete elliptic integrals |
@@ -112,7 +115,9 @@ code/
│ ├── hyper_ideal_geometry.hpp # ζ, lᵢⱼ, αᵢⱼ — pure math │ ├── hyper_ideal_geometry.hpp # ζ, lᵢⱼ, αᵢⱼ — pure math
│ ├── hyper_ideal_functional.hpp # HyperIdealFunctional on ConformalMesh │ ├── hyper_ideal_functional.hpp # HyperIdealFunctional on ConformalMesh
│ ├── spherical_geometry.hpp # spherical arc length + angles │ ├── spherical_geometry.hpp # spherical arc length + angles
│ ├── spherical_functional.hpp # SphericalFunctional on ConformalMesh │ ├── spherical_functional.hpp # SphericalFunctional + gauge-fix on ConformalMesh
│ ├── euclidean_geometry.hpp # Euclidean corner-angle formula (t-value)
│ ├── euclidean_functional.hpp # EuclideanCyclicFunctional on ConformalMesh
│ ├── clausen.hpp # Clausen / Lobachevsky / ImLi₂ │ ├── clausen.hpp # Clausen / Lobachevsky / ImLi₂
│ └── hyper_ideal_utility.hpp # Tetrahedron volumes │ └── hyper_ideal_utility.hpp # Tetrahedron volumes
├── src/ ├── src/
@@ -125,7 +130,8 @@ code/
│ ├── CMakeLists.txt │ ├── CMakeLists.txt
│ ├── test_conformal_mesh.cpp # 14 mesh infrastructure tests │ ├── test_conformal_mesh.cpp # 14 mesh infrastructure tests
│ ├── test_hyper_ideal_functional.cpp # 6 hyper-ideal gradient checks │ ├── test_hyper_ideal_functional.cpp # 6 hyper-ideal gradient checks
── test_spherical_functional.cpp # 8 spherical gradient checks ── test_spherical_functional.cpp # 11 spherical gradient + gauge-fix checks
│ └── test_euclidean_functional.cpp # 11 Euclidean gradient checks
└── deps/ └── deps/
├── tarballs/ # bundled dependency archives ├── tarballs/ # bundled dependency archives
├── eigen-3.4.0/ # header-only linear algebra (always extracted) ├── eigen-3.4.0/ # header-only linear algebra (always extracted)
@@ -159,7 +165,8 @@ CGAL `Surface_mesh` tests (test prefix `cgal.`):
| `ConformalMeshProperties` | 5 | Property maps: λ, θ, idx, α, geometry type | | `ConformalMeshProperties` | 5 | Property maps: λ, θ, idx, α, geometry type |
| `ConformalMeshValidity` | 1 | CGAL validity check for all factory meshes | | `ConformalMeshValidity` | 1 | CGAL validity check for all factory meshes |
| `HyperIdealFunctional` | 6 | Finite-difference gradient checks on triangle, tetrahedron, quad strip, fan | | `HyperIdealFunctional` | 6 | Finite-difference gradient checks on triangle, tetrahedron, quad strip, fan |
| `SphericalFunctional` | 8 | Angle formula correctness + gradient checks on spherical meshes | | `SphericalFunctional` | 11 | Angle formula + gradient checks on spherical meshes + 3 gauge-fix tests |
| `EuclideanFunctional` | 11 | Angle formula + gradient checks on Euclidean meshes (triangle, quad strip, fan, tetrahedron) |
--- ---
@@ -200,19 +207,15 @@ bereiten Phase 4 (Solver) vor. Die Zeitangaben sind grobe Schätzungen.
--- ---
``` ```
Phase 3d EuclideanCyclicFunctional portieren (23 Tage) Phase 3d EuclideanCyclicFunctional portieren ✅ abgeschlossen
Wichtigster fehlender Baustein: Euklidische Uniformisierung euclidean_geometry.hpp: t-Wert / atan2 Winkelformel
(genus-0 Flachparameterisierung, Kotangenten-Laplace) → euclidean_functional.hpp: Energie + Gradient auf ConformalMesh
Energie + Gradient auf ConformalMesh 11 Tests: Winkelformel, Gradient-Checks, NaN-Test, Fan, Mixed-Pinned
→ Entsperrt die verbleibenden HDS-blockierten Tests
→ Voraussetzung für jeden end-to-end Optimiererlauf
Phase 3e Gauge-Fix für SphericalFunctional (1 Tag) Phase 3e Gauge-Fix für SphericalFunctional ✅ abgeschlossen
Java-Äquivalent: maximizeInNegativeDirection() vor jeder spherical_gauge_shift() + apply_spherical_gauge() in
Auswertung — 1D-Liniensuche (Brent) entlang der spherical_functional.hpp — Newton + Backtracking
globalen Additionskonstante in u_v → 3 neue Tests: ZerosSumGv, ApplyInPlace, AlreadyAtGauge
→ Ohne Gauge-Fix ist die Energie auf geschlossenen Flächen
nach unten unbeschränkt; kein Optimierer kann konvergieren
Phase 3f Hessian (Sphärisch → Euklidisch) (23 Tage) Phase 3f Hessian (Sphärisch → Euklidisch) (23 Tage)
→ Analytischer Hessian = Kotangenten-Laplace-Operator → Analytischer Hessian = Kotangenten-Laplace-Operator

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@@ -0,0 +1,325 @@
#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 "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)
{
constexpr double TWO_PI = 2.0 * 3.14159265358979323846;
constexpr double PI = 3.14159265358979323846;
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

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@@ -0,0 +1,91 @@
#pragma once
// euclidean_geometry.hpp
//
// Corner-angle formula for Euclidean triangles in the discrete conformal
// (log-length) parametrisation.
//
// Ported from de.varylab.discreteconformal.functional.EuclideanCyclicFunctional.
//
// In the discrete conformal parametrisation a Euclidean triangle is described by
// its three effective log-lengths Λ̃_ij = λ°_ij + u_i + u_j (+ edge DOF).
// The corresponding side lengths are l_ij = exp(Λ̃_ij / 2).
//
// Vertex ordering convention (matches EuclideanCyclicFunctional.java):
// v1 is opposite edge l23, v2 is opposite l31, v3 is opposite l12.
//
// t-value trick (Springborn 2008 §3):
// t12 = l12 + l23 + l31 = 2(s l12)
// t23 = +l12 l23 + l31 = 2(s l23)
// t31 = +l12 + l23 l31 = 2(s l31)
// denom = sqrt(t12 · t23 · t31 · l123) = 4 · Area
//
// α_v = 2 · atan2( product of t-values adjacent to v, denom )
//
// The centering trick (l_ij ← exp((Λ̃_ij 2·μ)/2), μ = (Λ̃12+Λ̃23+Λ̃31)/6)
// rescales all three sides by the same factor, leaving angles unchanged but
// keeping the arguments of exp in a safe numerical range.
#include <cmath>
namespace conformallab {
struct EuclideanFaceAngles {
double alpha1; ///< corner angle at v1 (opposite l23)
double alpha2; ///< corner angle at v2 (opposite l31)
double alpha3; ///< corner angle at v3 (opposite l12)
bool valid;
};
// ── From side lengths ─────────────────────────────────────────────────────────
//
// Given three Euclidean side lengths l12, l23, l31 > 0 satisfying the triangle
// inequality, compute the corner angles.
//
// Returns valid=false if the triangle inequality is violated (any t-value ≤ 0).
inline EuclideanFaceAngles euclidean_angles_from_lengths(
double l12, double l23, double l31)
{
const double t12 = -l12 + l23 + l31; // 2*(s l12)
const double t23 = +l12 - l23 + l31; // 2*(s l23)
const double t31 = +l12 + l23 - l31; // 2*(s l31)
if (t12 <= 0.0 || t23 <= 0.0 || t31 <= 0.0)
return {0.0, 0.0, 0.0, false};
const double l123 = l12 + l23 + l31;
const double denom2 = t12 * t23 * t31 * l123; // = (4·Area)²
if (denom2 <= 0.0)
return {0.0, 0.0, 0.0, false};
const double denom = std::sqrt(denom2);
// α at v1 (opposite l23): adjacent t-values are t12 and t31
// α at v2 (opposite l31): adjacent t-values are t12 and t23
// α at v3 (opposite l12): adjacent t-values are t23 and t31
return {
2.0 * std::atan2(t12 * t31, denom),
2.0 * std::atan2(t12 * t23, denom),
2.0 * std::atan2(t23 * t31, denom),
true
};
}
// ── From effective log-lengths Λ̃ ─────────────────────────────────────────────
//
// Converts to side lengths l_ij = exp(Λ̃_ij / 2), applying the centering
// trick for numerical safety, then delegates to euclidean_angles_from_lengths.
//
// The centering constant μ = (Λ̃12 + Λ̃23 + Λ̃31) / 6 ensures
// l12 · l23 · l31 = 1 (geometric mean = 1)
// which keeps all l values near 1 and prevents float overflow for large |Λ̃|.
inline EuclideanFaceAngles euclidean_angles(
double lam12, double lam23, double lam31)
{
const double mu = (lam12 + lam23 + lam31) / 6.0;
const double l12 = std::exp((lam12 - 2.0 * mu) * 0.5);
const double l23 = std::exp((lam23 - 2.0 * mu) * 0.5);
const double l31 = std::exp((lam31 - 2.0 * mu) * 0.5);
return euclidean_angles_from_lengths(l12, l23, l31);
}
} // namespace conformallab

View File

@@ -354,4 +354,122 @@ inline bool gradient_check_spherical(
return ok; return ok;
} }
// ── Gauge-fix for closed spherical surfaces ───────────────────────────────────
//
// On a closed (boundaryless) spherical surface the energy E(u + t·1) has a
// unique maximum w.r.t. t ∈ (the "global scale" gauge mode). Without
// fixing this gauge the functional is unbounded below and no solver converges.
//
// This function returns the scalar shift t* such that
// Σ_v G_v(x + t*·1_v) = 0
// i.e., the derivative of E(u+t·1) w.r.t. t is zero at t = t*.
//
// Apply the shift by adding t* to every vertex DOF in x.
//
// Implementation: bisection on f(t) = Σ_v G_v(x + t·1_v).
// f is strictly monotone decreasing (second derivative < 0) for a convex
// functional, so bisection converges in O(log₂(2·bracket/tol)) iterations.
//
// Parameters:
// bracket initial search interval [bracket, +bracket] (default 50)
// tol absolute tolerance on t* (default 1e-8)
//
// Returns 0.0 if the zero cannot be bracketed (already at gauge maximum,
// or open surface — no shift needed).
inline double spherical_gauge_shift(
ConformalMesh& mesh,
const std::vector<double>& x,
const SphericalMaps& m,
double bracket = 50.0,
double tol = 1e-8)
{
// Helper: sum of all vertex gradient components at x + t·1_v.
auto sum_Gv = [&](double t) -> double {
// Build a shifted copy of x (only vertex DOFs shifted).
std::vector<double> xt = x;
for (auto v : mesh.vertices()) {
int iv = m.v_idx[v];
if (iv >= 0)
xt[static_cast<std::size_t>(iv)] += t;
}
auto G = spherical_gradient(mesh, xt, m);
double sum = 0.0;
for (auto v : mesh.vertices()) {
int iv = m.v_idx[v];
if (iv >= 0)
sum += G[static_cast<std::size_t>(iv)];
}
return sum;
};
// ── Try bisection first (works when there is a sign change in [bracket, +bracket]) ──
double a = -bracket, b = bracket;
double fa = sum_Gv(a), fb = sum_Gv(b);
if (fa * fb <= 0.0) {
for (int iter = 0; iter < 120; ++iter) {
double c = 0.5 * (a + b);
double fc = sum_Gv(c);
if (std::abs(fc) < tol || (b - a) < tol) return c;
if (fa * fc < 0.0) { b = c; fb = fc; }
else { a = c; fa = fc; }
}
return 0.5 * (a + b);
}
// ── No sign change (zero may lie at a domain boundary). ───────────────────
// Use damped Newton's method with backtracking line search.
// f'(t) estimated by forward finite difference.
// When the Newton step overshoots the valid domain (ΣG_v jumps back up
// because faces become degenerate), backtracking halves the step until
// |f| strictly decreases.
const double fd_eps = 1e-5;
double t = 0.0;
double ft = sum_Gv(t);
for (int iter = 0; iter < 120; ++iter) {
if (std::abs(ft) < tol) return t;
double ftp = sum_Gv(t + fd_eps);
double dft = (ftp - ft) / fd_eps;
if (std::abs(dft) < 1e-14) return t; // gradient flat — give up
double dt_raw = -ft / dft;
// Backtracking line search: halve dt until |f| decreases.
double alpha = 1.0;
bool improved = false;
for (int back = 0; back < 40; ++back) {
double t_try = t + alpha * dt_raw;
t_try = std::max(-bracket, std::min(bracket, t_try));
double ft_try = sum_Gv(t_try);
if (std::abs(ft_try) < std::abs(ft)) {
t = t_try;
ft = ft_try;
improved = true;
break;
}
alpha *= 0.5;
}
if (!improved) return t; // cannot reduce further
}
return t;
}
// Apply the gauge shift in-place: x_v ← x_v + t* for all variable vertices.
inline void apply_spherical_gauge(
ConformalMesh& mesh,
std::vector<double>& x,
const SphericalMaps& m,
double bracket = 50.0,
double tol = 1e-8)
{
double t = spherical_gauge_shift(mesh, x, m, bracket, tol);
for (auto v : mesh.vertices()) {
int iv = m.v_idx[v];
if (iv >= 0)
x[static_cast<std::size_t>(iv)] += t;
}
}
} // namespace conformallab } // namespace conformallab

View File

@@ -15,8 +15,11 @@ add_executable(conformallab_cgal_tests
# ── Phase 3b: HyperIdealFunctional ───────────────────────────────────── # ── Phase 3b: HyperIdealFunctional ─────────────────────────────────────
test_hyper_ideal_functional.cpp test_hyper_ideal_functional.cpp
# ── Phase 3c: SphericalFunctional ───────────────────────────────────── # ── Phase 3c + 3e: SphericalFunctional + gauge-fix ────────────────────
test_spherical_functional.cpp test_spherical_functional.cpp
# ── Phase 3d: EuclideanCyclicFunctional ───────────────────────────────
test_euclidean_functional.cpp
) )
target_include_directories(conformallab_cgal_tests SYSTEM PRIVATE target_include_directories(conformallab_cgal_tests SYSTEM PRIVATE

View File

@@ -0,0 +1,269 @@
// test_euclidean_functional.cpp
//
// Phase 3d — EuclideanCyclicFunctional ported to ConformalMesh.
//
// Corresponds to de.varylab.discreteconformal.functional.EuclideanCyclicFunctionalTest.
//
// Test map (Java → C++)
// ──────────────────────
// testHessian (Ignored) → GradientCheck_Hessian (SKIPPED)
// testGradient…Triangle → GradientCheck_TriangleVertex (ported)
// testGradient…QuadStrip → GradientCheck_QuadStripVertex (ported)
// testGradient…Tetrahedron → GradientCheck_TetrahedronVertex (ported)
// testGradient…AllDofs → GradientCheck_TetrahedronAllDofs (ported)
// testFunctionalAtNaNValue → AnglesFiniteAtKnownPoint (ported)
//
// Energy model
// ────────────
// Uses the Schläfli path integral E(x) = ∫₀¹⟨G(tx),x⟩dt (10-point GL).
// The gradient check verifies G is curl-free.
#include "conformal_mesh.hpp"
#include "mesh_builder.hpp"
#include "euclidean_geometry.hpp"
#include "euclidean_functional.hpp"
#include <gtest/gtest.h>
#include <cmath>
#include <vector>
using namespace conformallab;
// ════════════════════════════════════════════════════════════════════════════
// @Ignore in Java: no Hessian implemented yet
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, GradientCheck_Hessian)
{
GTEST_SKIP() << "@Ignore in Java Hessian not yet implemented";
}
// ════════════════════════════════════════════════════════════════════════════
// Angle formula: equilateral triangle → all angles = π/3
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, EquilateralTriangleAnglesArePiOver3)
{
// All sides equal: l = 1.0, log-length = 0.
auto fa = euclidean_angles(0.0, 0.0, 0.0);
ASSERT_TRUE(fa.valid) << "Equilateral triangle must be valid";
constexpr double PI_3 = 3.14159265358979323846 / 3.0;
EXPECT_NEAR(fa.alpha1, PI_3, 1e-12);
EXPECT_NEAR(fa.alpha2, PI_3, 1e-12);
EXPECT_NEAR(fa.alpha3, PI_3, 1e-12);
}
// ════════════════════════════════════════════════════════════════════════════
// Angle formula: right isosceles triangle (legs 1, hypotenuse √2)
//
// For the 45-45-90 triangle: angles are π/4, π/4, π/2.
// From make_triangle default (v0=(0,0), v1=(1,0), v2=(0,1)):
// e01: l=1, λ°=0
// e12: l=√2, λ°=log(2)
// e02: l=1, λ°=0
// Angle at v0 (opposite e12) = π/2.
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, RightIsoscelesTriangleAnglesCorrect)
{
const double log2 = std::log(2.0);
// lam12 = 0 (v0-v1, length 1), lam23 = log(2) (v1-v2, length √2), lam31 = 0 (v2-v0, length 1)
// v1 = v0 in our ordering → remap: l01=1, l12=√2, l20=1
// Using euclidean_angles(lam_v1v2, lam_v2v3, lam_v3v1):
// v1=(0,0), v2=(1,0), v3=(0,1)
// lam12 = log(1²) = 0, lam23 = log(√2 ²) = log2, lam31 = log(1²) = 0
auto fa = euclidean_angles(0.0, log2, 0.0);
ASSERT_TRUE(fa.valid);
constexpr double PI = 3.14159265358979323846;
// v1=(0,0) is at the right-angle corner (opposite the hypotenuse l23=√2) → α1 = 90°.
// v2=(1,0) and v3=(0,1) are the 45° corners (each opposite a leg of length 1).
EXPECT_NEAR(fa.alpha1, PI / 2.0, 1e-12); // angle at v1 (opposite l23=√2): 90°
EXPECT_NEAR(fa.alpha2, PI / 4.0, 1e-12); // angle at v2 (opposite l31=1): 45°
EXPECT_NEAR(fa.alpha3, PI / 4.0, 1e-12); // angle at v3 (opposite l12=1): 45°
}
// ════════════════════════════════════════════════════════════════════════════
// Angle sum = π for any valid Euclidean triangle
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, AngleSumEqualsPi)
{
// Scalene triangle with log-lengths (0, 0.5, -0.3).
auto fa = euclidean_angles(0.0, 0.5, -0.3);
ASSERT_TRUE(fa.valid);
constexpr double PI = 3.14159265358979323846;
EXPECT_NEAR(fa.alpha1 + fa.alpha2 + fa.alpha3, PI, 1e-12);
}
// ════════════════════════════════════════════════════════════════════════════
// Degenerate triangle → valid = false
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, DegenerateTriangleReturnsFalse)
{
// l12 = l23 = 1, l31 = 3 → violates triangle inequality.
auto fa = euclidean_angles_from_lengths(1.0, 1.0, 3.0);
EXPECT_FALSE(fa.valid);
}
// ════════════════════════════════════════════════════════════════════════════
// Gradient check: default right-isosceles triangle, vertex DOFs only
//
// Mirrors Java testGradient…SingleTriangle.
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, GradientCheck_TriangleVertex)
{
auto mesh = make_triangle(); // (0,0)(1,0)(0,1)
auto maps = setup_euclidean_maps(mesh);
compute_euclidean_lambda0_from_mesh(mesh, maps);
int n = assign_euclidean_vertex_dof_indices(mesh, maps);
// Small uniform conformal perturbation.
std::vector<double> x(static_cast<std::size_t>(n), -0.1);
EXPECT_TRUE(gradient_check_euclidean(mesh, x, maps))
<< "Gradient check failed on right-isosceles triangle (vertex DOFs)";
}
// ════════════════════════════════════════════════════════════════════════════
// Gradient check: quad strip (2 triangles, 1 interior edge), vertex DOFs only
//
// Mirrors Java testGradient…QuadStrip / testGradientInExtendedDomain.
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, GradientCheck_QuadStripVertex)
{
auto mesh = make_quad_strip();
auto maps = setup_euclidean_maps(mesh);
compute_euclidean_lambda0_from_mesh(mesh, maps);
int n = assign_euclidean_vertex_dof_indices(mesh, maps);
std::vector<double> x(static_cast<std::size_t>(n), -0.2);
EXPECT_TRUE(gradient_check_euclidean(mesh, x, maps))
<< "Gradient check failed on quad strip (vertex DOFs)";
}
// ════════════════════════════════════════════════════════════════════════════
// Gradient check: regular tetrahedron, vertex DOFs only
//
// Closed surface (4 faces, 4 vertices, 6 interior edges).
// Exercises per-vertex angle-sum accumulation on multiple faces.
// Mirrors Java testGradient…Tetrahedron / testGradientWithHyperIdeal…
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, GradientCheck_TetrahedronVertex)
{
auto mesh = make_tetrahedron();
auto maps = setup_euclidean_maps(mesh);
compute_euclidean_lambda0_from_mesh(mesh, maps);
int n = assign_euclidean_vertex_dof_indices(mesh, maps);
std::vector<double> x(static_cast<std::size_t>(n), -0.15);
EXPECT_TRUE(gradient_check_euclidean(mesh, x, maps))
<< "Gradient check failed on regular tetrahedron (vertex DOFs)";
}
// ════════════════════════════════════════════════════════════════════════════
// Gradient check: tetrahedron, all DOFs (vertex + edge)
//
// Exercises the edge-gradient branch G_e = α_opp⁺ + α_opp⁻ π.
// Mirrors Java testGradientWithHyperellipticCurve.
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, GradientCheck_TetrahedronAllDofs)
{
auto mesh = make_tetrahedron();
auto maps = setup_euclidean_maps(mesh);
compute_euclidean_lambda0_from_mesh(mesh, maps);
int n = assign_euclidean_all_dof_indices(mesh, maps);
// 4 vertex DOFs + 6 edge DOFs = 10 total.
std::vector<double> x(static_cast<std::size_t>(n), 0.0);
// Set vertex DOFs slightly negative to keep triangles non-degenerate.
for (int i = 0; i < 4; ++i)
x[static_cast<std::size_t>(i)] = -0.15;
EXPECT_TRUE(gradient_check_euclidean(mesh, x, maps))
<< "Gradient check failed on regular tetrahedron (all DOFs)";
}
// ════════════════════════════════════════════════════════════════════════════
// Angles are finite at a known interior point
//
// Mirrors Java testFunctionalAtNaNValue: stress-test the angle formula with
// large negative conformal factors (compressed triangle) to ensure no NaN/Inf.
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, AnglesFiniteAtKnownPoint)
{
auto mesh = make_tetrahedron();
auto maps = setup_euclidean_maps(mesh);
compute_euclidean_lambda0_from_mesh(mesh, maps);
int n = assign_euclidean_vertex_dof_indices(mesh, maps);
// Very compressed: u_i = -3 (all sides shrunk by exp(-3) ≈ 0.05).
// Triangle stays well-formed (equilateral shrinks uniformly).
std::vector<double> x(static_cast<std::size_t>(n), -3.0);
auto G = euclidean_gradient(mesh, x, maps);
for (std::size_t i = 0; i < G.size(); ++i) {
EXPECT_FALSE(std::isnan(G[i])) << "Gradient component " << i << " is NaN";
EXPECT_FALSE(std::isinf(G[i])) << "Gradient component " << i << " is Inf";
}
}
// ════════════════════════════════════════════════════════════════════════════
// Gradient check: fan of 5 flat triangles, vertex DOFs only
//
// High-valence central vertex: exercises per-vertex angle accumulation
// across 5 incident faces.
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, GradientCheck_Fan5Vertex)
{
auto mesh = make_fan(5);
auto maps = setup_euclidean_maps(mesh);
compute_euclidean_lambda0_from_mesh(mesh, maps);
int n = assign_euclidean_vertex_dof_indices(mesh, maps);
std::vector<double> x(static_cast<std::size_t>(n), -0.05);
EXPECT_TRUE(gradient_check_euclidean(mesh, x, maps))
<< "Gradient check failed on flat fan-5 mesh";
}
// ════════════════════════════════════════════════════════════════════════════
// Gradient check: mixed pinned/variable vertices
//
// Pins the first vertex (u_v0 = 0 fixed), lets the rest be variable.
// Verifies that the gradient accumulator skips pinned vertices correctly.
// ════════════════════════════════════════════════════════════════════════════
TEST(EuclideanFunctional, GradientCheck_MixedPinnedVertices)
{
auto mesh = make_quad_strip();
auto maps = setup_euclidean_maps(mesh);
compute_euclidean_lambda0_from_mesh(mesh, maps);
// Manually pin v0; assign v1, v2, v3 as DOFs 0, 1, 2.
auto vit = mesh.vertices().begin();
Vertex_index v0 = *vit++;
Vertex_index v1 = *vit++;
Vertex_index v2 = *vit++;
Vertex_index v3 = *vit;
maps.v_idx[v0] = -1; // pinned
maps.v_idx[v1] = 0;
maps.v_idx[v2] = 1;
maps.v_idx[v3] = 2;
std::vector<double> x = {-0.1, -0.3, -0.2};
EXPECT_TRUE(gradient_check_euclidean(mesh, x, maps))
<< "Gradient check failed for mixed pinned/variable vertices";
}

View File

@@ -1,4 +1,4 @@
// test_spherical_functional.cpp // test_spherical_functional.cpp (Phase 3c + 3e)
// //
// Phase 3c — SphericalFunctional ported to ConformalMesh. // Phase 3c — SphericalFunctional ported to ConformalMesh.
// //
@@ -244,3 +244,97 @@ TEST(SphericalFunctional, GradientCheck_MixedPinnedVertices)
EXPECT_TRUE(gradient_check_spherical(mesh, x, maps)) EXPECT_TRUE(gradient_check_spherical(mesh, x, maps))
<< "Gradient check failed for mixed pinned/variable vertices"; << "Gradient check failed for mixed pinned/variable vertices";
} }
// ════════════════════════════════════════════════════════════════════════════
// Phase 3e — Gauge-fix for closed spherical surfaces
//
// On a closed spherical surface, the functional has a gauge mode:
// E(u + t·1) is maximised at some t*.
// At t*, the sum of all vertex gradients equals zero: Σ G_v = 0.
//
// Test: start from a point with non-zero ΣG_v, apply the gauge shift,
// and verify ΣG_v(x + t*·1) ≈ 0.
// ════════════════════════════════════════════════════════════════════════════
TEST(SphericalFunctional, GaugeFix_SpherTetVertexZerosSumGv)
{
auto mesh = make_spherical_tetrahedron();
auto maps = setup_spherical_maps(mesh);
compute_lambda0_from_mesh(mesh, maps);
int n = assign_vertex_dof_indices(mesh, maps);
// Off-gauge starting point: all u_i = -0.5
std::vector<double> x(static_cast<std::size_t>(n), -0.5);
// Compute ΣG_v before gauge shift.
{
auto G = spherical_gradient(mesh, x, maps);
double sum = 0.0;
for (auto v : mesh.vertices()) {
int iv = maps.v_idx[v];
if (iv >= 0) sum += G[static_cast<std::size_t>(iv)];
}
// At -0.5 the surface is compressed; ΣG_v should be non-zero.
EXPECT_NE(sum, 0.0) << "Pre-gauge ΣG_v should be non-zero";
}
// Compute gauge shift and apply.
double t = spherical_gauge_shift(mesh, x, maps);
std::vector<double> x_fixed = x;
for (auto v : mesh.vertices()) {
int iv = maps.v_idx[v];
if (iv >= 0)
x_fixed[static_cast<std::size_t>(iv)] += t;
}
// Verify ΣG_v ≈ 0 at the gauge-fixed point.
{
auto G = spherical_gradient(mesh, x_fixed, maps);
double sum = 0.0;
for (auto v : mesh.vertices()) {
int iv = maps.v_idx[v];
if (iv >= 0) sum += G[static_cast<std::size_t>(iv)];
}
EXPECT_NEAR(sum, 0.0, 1e-6)
<< "After gauge fix, Σ G_v should vanish; t* = " << t;
}
}
TEST(SphericalFunctional, GaugeFix_ApplyInPlace)
{
auto mesh = make_spherical_tetrahedron();
auto maps = setup_spherical_maps(mesh);
compute_lambda0_from_mesh(mesh, maps);
int n = assign_vertex_dof_indices(mesh, maps);
// x = -0.3: compressed but inside the valid spherical domain.
std::vector<double> x(static_cast<std::size_t>(n), -0.3);
apply_spherical_gauge(mesh, x, maps);
// After in-place gauge fix, ΣG_v must be near 0.
auto G = spherical_gradient(mesh, x, maps);
double sum = 0.0;
for (auto v : mesh.vertices()) {
int iv = maps.v_idx[v];
if (iv >= 0) sum += G[static_cast<std::size_t>(iv)];
}
EXPECT_NEAR(sum, 0.0, 1e-6)
<< "apply_spherical_gauge must drive Σ G_v to zero";
}
TEST(SphericalFunctional, GaugeFix_AlreadyAtGaugeReturnsTNearZero)
{
// A symmetric, equilateral spherical tetrahedron at x=0 is already
// at the gauge maximum (by symmetry, ΣG_v = 0).
auto mesh = make_spherical_tetrahedron();
auto maps = setup_spherical_maps(mesh);
compute_lambda0_from_mesh(mesh, maps);
int n = assign_vertex_dof_indices(mesh, maps);
std::vector<double> x(static_cast<std::size_t>(n), 0.0);
double t = spherical_gauge_shift(mesh, x, maps);
// Symmetric starting point → t* should be very close to 0.
EXPECT_NEAR(t, 0.0, 1e-5)
<< "Gauge shift from the symmetric point should be ~0; got " << t;
}