Files
ConformalLabpp/code/include/euclidean_functional.hpp
Tarik Moussa 59a26123c8 fix(minor): all five MINOR findings — doc, accuracy, and DRY
MINOR-1 (spherical_functional.hpp:426)
  Wrong comment said "second derivative < 0 for a convex functional".
  The spherical energy is *concave* (NSD Hessian); the monotone-f argument
  applies to both convex and concave functionals equally.  Comment rewritten
  to explain the actual physics: increasing scale increases all angles and
  thus reduces Σ G_v.

MINOR-2 (spherical_functional.hpp:494-495)
  Forward finite difference O(ε) → central finite difference O(ε²):
    old: dft = (sum_Gv(t + fd_eps) - ft) / fd_eps
    new: dft = (sum_Gv(t + fd_eps) - sum_Gv(t - fd_eps)) / (2*fd_eps)
  Same cost when the extra sum_Gv(t - fd_eps) replaces the cached ft.

MINOR-3 (euclidean_functional.hpp, spherical_functional.hpp,
         inversive_distance_functional.hpp)
  New header gauss_legendre.hpp centralises the 10-point Gauss-Legendre
  nodes and weights (gl10_nodes() / gl10_weights()).  The three energy
  functions now use the shared accessors instead of duplicated local
  static arrays.

MINOR-4 (euclidean_functional.hpp, spherical_functional.hpp,
         hyper_ideal_functional.hpp, inversive_distance_functional.hpp)
  halfedge_to_index() centralised in conformal_mesh.hpp.  All four local
  aliases (eucl_hidx, spher_hidx, hidx, id_detail::hidx) now delegate to
  it as one-line wrappers; the aliases are kept for now to avoid a larger
  call-site churn, clearly documented as thin wrappers.

MINOR-5 (clausen.hpp:33-38)
  Added a comment above inits() explaining the intentional off-by-one
  return value and how it interacts with csevl() — matching the Java
  Clausen.inits() / csevl() contract.

277/277 CGAL + 26/26 pure-math tests pass, 0 failed.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-31 01:17:27 +02:00

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#pragma once
// Copyright (c) 2024-2026 Tarik Moussa.
// SPDX-License-Identifier: MIT
// 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 "gauss_legendre.hpp"
#include "euclidean_geometry.hpp"
#include <CGAL/boost/graph/iterator.h>
#include <vector>
#include <cmath>
#include <cstdint>
namespace conformallab {
// ── Property-map type aliases ─────────────────────────────────────────────────
/// Property map vertex → `double` for the Euclidean functional.
using EuclVMapD = ConformalMesh::Property_map<Vertex_index, double>;
/// Property map vertex → `int` for the Euclidean functional.
using EuclVMapI = ConformalMesh::Property_map<Vertex_index, int>;
/// Property map edge → `double` for the Euclidean functional.
using EuclEMapD = ConformalMesh::Property_map<Edge_index, double>;
/// Property map edge → `int` for the Euclidean functional.
using EuclEMapI = ConformalMesh::Property_map<Edge_index, int>;
// ── Persistent map bundle ─────────────────────────────────────────────────────
/// Bundle of the five property maps consumed by the Euclidean functional.
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)
};
/// Attach the five Euclidean property maps to `mesh` with sensible
/// defaults and return their handles.
///
/// Defaults:
/// * `v_idx[v] = -1` (every vertex pinned; user must reassign before solving)
/// * `e_idx[e] = -1` (no edge DOFs by default; use `assign_euclidean_all_dof_indices` for cyclic functional)
/// * `theta_v[v] = 2π` (flat interior vertex target)
/// * `phi_e[e] = π` (interior edge turn angle target — flat surface)
/// * `lambda0[e] = 0` (placeholder; call `compute_euclidean_lambda0_from_mesh` next)
///
/// Map name prefix: `"ev:"` (vertex) and `"ee:"` (edge).
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 sequential DOF indices `0..n-1` to all vertices.
///
/// **Note:** this overload assigns indices to ALL vertices unconditionally.
/// Any `v_idx` set before the call is overwritten. To pin a gauge vertex,
/// either use the two-argument overload below, or set `m.v_idx[v] = -1`
/// **after** this call. Pinning before this call has no effect.
///
/// For closed meshes one gauge vertex should be pinned to remove the
/// rotational null mode (the Newton solver's SparseQR fallback handles an
/// unpinned closed mesh automatically, but at higher cost).
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 sequential DOF indices to all vertices, pinning `gauge`
/// (`m.v_idx[gauge] = -1`). Use this overload on closed meshes to fix
/// the rotational gauge mode in a single call.
///
/// \returns The number of free DOFs assigned (`num_vertices 1`).
inline int assign_euclidean_vertex_dof_indices(ConformalMesh& mesh, EuclideanMaps& m,
Vertex_index gauge)
{
int idx = 0;
for (auto v : mesh.vertices())
m.v_idx[v] = (v == gauge) ? -1 : idx++;
return idx;
}
/// Assign DOF indices for all vertices AND all edges (vertex-DOFs first,
/// then edge-DOFs). Use this overload for the "cyclic" formulation that
/// includes per-edge log-length DOFs (`λ_e`) on top of per-vertex scale
/// factors (`u_v`).
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 the free DOFs (vertices + edges with index `≥ 0`).
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:
/// `λ°_e = 2·log(|p_i p_j|)` (natural log of Euclidean edge length²).
/// 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 ──────────────────────────────────────────────────────────
/// Read DOF value from `x` for index `idx`; return 0 if pinned (idx < 0).
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;
}
// halfedge_to_index is defined in conformal_mesh.hpp (included above).
// The old local alias eucl_hidx is retained as a thin wrapper for now so
// call-sites below do not need touching; a follow-up can remove it.
static inline std::size_t eucl_hidx(Halfedge_index h) { return halfedge_to_index(h); }
/// Compute the Euclidean-functional gradient G(x):
/// * `G_v = Θ_v Σ_faces α_v(face)`
/// * `G_e = α_opp(face⁺) + α_opp(face⁻) φ_e`
///
/// Same half-edge corner-angle storage convention as `spherical_gradient`.
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);
// NOTE: do NOT skip degenerate faces. euclidean_angles() returns the
// limiting angles (one corner = π, others = 0) when the triangle
// inequality is violated; using them is exactly what the Java reference
// does and is required for the BPS energy to be the convex C¹ extension
// onto the infeasible region (otherwise Newton can stall at a flip).
// 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;
}
/// Euclidean energy `E(x) = ∫₀¹ ⟨G(t·x), x⟩ dt`, evaluated with
/// 10-point Gauss-Legendre quadrature (same as the Spherical functional).
inline double euclidean_energy(
ConformalMesh& mesh,
const std::vector<double>& x,
const EuclideanMaps& m)
{
const double* gl_s = gl10_nodes();
const double* gl_w = gl10_weights();
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) ──────────────────────────────────────
/// Output of `evaluate_euclidean()` — energy plus optional gradient.
struct EuclideanResult {
double energy = 0.0; ///< Functional value at input DOFs.
std::vector<double> gradient; ///< Gradient ∇E (empty if not requested).
};
/// Evaluate the Euclidean functional at DOFs `x`. Returns energy and
/// gradient (toggle via `need_energy` / `need_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 for the Euclidean functional
/// (central differences). Defaults `eps = 1e-5`, `tol = 1e-4`.
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