Files
ConformalLabpp/code/include/CGAL/Discrete_conformal_map.h
Tarik Moussa b7e837815f Phase 8b-Lite extension: output_uv_map named parameter for integrated layout
Closes the UX gap identified in the Phase-8b-Lite design discussion:
the four classical-DCE CGAL entries now optionally run their `*_layout()`
step internally if the caller supplies `CGAL::parameters::output_uv_map(pmap)`.

Before this PR, the workflow was:

    auto res = CGAL::discrete_conformal_map_euclidean(mesh);
    // ... user has to re-set up maps, re-pin vertex, then ...
    auto layout = euclidean_layout(mesh, res.x, maps);
    // ... and copy coordinates into a property map manually.

After this PR:

    auto uv = mesh.add_property_map<Vertex_index, K::Point_2>("uv", ...).first;
    CGAL::discrete_conformal_map_euclidean(
        mesh, CGAL::parameters::output_uv_map(uv));
    // ... uv now populated for every vertex.

Coverage
────────
* `discrete_conformal_map_euclidean`  — `Point_2` per vertex.
* `discrete_conformal_map_spherical`  — `Point_3` per vertex (on S²).
* `discrete_conformal_map_hyper_ideal` — `Point_2` per vertex (Poincaré disk).

CP-Euclidean and Inversive-Distance entries do not yet support
`output_uv_map` — face-based packing has no per-vertex UV concept, and
inversive-distance needs a dedicated layout routine that uses Luo's
edge-length formula (planned follow-up).

New named parameters (`code/include/CGAL/Conformal_map/internal/parameters.h`)
─────────────────────────────────────────────────────────────────────────────
* `output_uv_map(pmap)` — write coordinates into pmap after layout.
* `normalise_layout(bool)` — apply post-layout canonical normalisation
  (PCA centroid for Euclidean, north-pole alignment for Spherical,
  Möbius centring for Hyper-ideal).

Both follow the existing Phase-8a-MVP named-parameter convention.
Chained syntax (`.output_uv_map(...).normalise_layout(true)`) is not
yet supported — pass them one at a time.

Tests (5 new in test_cgal_phase8b_lite.cpp)
───────────────────────────────────────────
* `OutputUvMap_Euclidean_PopulatesPmap`         — UVs are finite + non-trivial.
* `OutputUvMap_Spherical_PopulatesXyz`          — every output on unit S².
* `OutputUvMap_HyperIdeal_PointsInPoincareDisk` — |p|² ≤ 1 if converged.
* `OutputUvMap_Absent_DoesNotRunLayout`         — no parameter ⇒ no layout.
* `OutputUvMap_NormaliseLayout_TakesEffect`     — both raw + norm calls
  return finite UVs (named-parameter chaining limitation documented).

All five pass.  Full CGAL suite: 232/232, 0 skipped (was 227).

doc/api/tests.md
────────────────
Updated the per-suite table to list the 7 CGAL test suites that landed
in v0.9.0 (8a MVP + 9a + 9b + 8b-Lite) but had not yet been added to the
canonical table.  Total: 227 → 232.  This brings the doc back in sync
with `ctest` output and unblocks future `scripts/check-test-counts.sh`
runs.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-22 13:24:37 +02:00

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// Copyright (c) 2024-2026 Tarik Moussa.
// SPDX-License-Identifier: MIT
//
// Package: conformallab++ / Discrete_conformal_map (Phase 8 MVP, 2026-05-19)
/*!
\file CGAL/Discrete_conformal_map.h
\ingroup PkgConformalMapRef
User-facing entry point for the Discrete_conformal_map package.
This header provides a single function — `discrete_conformal_map_euclidean`
— that computes a Euclidean discrete-conformal flattening of an open or
closed triangle mesh. Spherical and hyperbolic variants are scheduled
for Phase 8b.2 once the Euclidean pattern is validated by Phase 9a
(Inversive-Distance functional).
\section Example Simplest usage
\code{.cpp}
#include <CGAL/Simple_cartesian.h>
#include <CGAL/Surface_mesh.h>
#include <CGAL/Discrete_conformal_map.h>
using K = CGAL::Simple_cartesian<double>;
using Mesh = CGAL::Surface_mesh<K::Point_3>;
int main() {
Mesh mesh = ...; // load a triangle mesh
auto result = CGAL::discrete_conformal_map_euclidean(mesh);
if (!result.converged)
return 1;
// result.u_per_vertex[v] now holds the conformal scale factor at v.
}
\endcode
\section NamedParams Tuning via named parameters
\code{.cpp}
auto result = CGAL::discrete_conformal_map_euclidean(
mesh,
CGAL::parameters::gradient_tolerance(1e-12)
.max_iterations(500));
\endcode
\sa `CGAL::Default_conformal_map_traits`
\sa `CGAL::parameters::vertex_curvature_map`
*/
#ifndef CGAL_DISCRETE_CONFORMAL_MAP_H
#define CGAL_DISCRETE_CONFORMAL_MAP_H
#include <CGAL/Conformal_map_traits.h>
#include <CGAL/Conformal_map/internal/parameters.h>
#include <CGAL/Kernel_traits.h>
#include <CGAL/Named_function_parameters.h>
#include <CGAL/boost/graph/named_params_helper.h>
#include <CGAL/property_map.h>
// Existing implementation headers (Layer 1 — unchanged).
#include "../euclidean_functional.hpp"
#include "../layout.hpp"
#include "../spherical_functional.hpp"
#include "../hyper_ideal_functional.hpp"
#include "../gauss_bonnet.hpp"
#include "../newton_solver.hpp"
#include <vector>
#include <unordered_map>
namespace CGAL {
// ════════════════════════════════════════════════════════════════════════════
// Result type
// ════════════════════════════════════════════════════════════════════════════
/*!
\ingroup PkgConformalMapRef
Result of `discrete_conformal_map_euclidean`. Carries the converged
scale factors `u_v`, Newton diagnostics, and the convergence flag.
*/
template <typename FT = double>
struct Conformal_map_result
{
/// Conformal scale factor `u_v` per vertex (indexed by raw vertex index).
/// Length: `num_vertices(mesh)`.
std::vector<FT> u_per_vertex;
/// Number of Newton iterations performed.
int iterations = 0;
/// `‖G(u*)‖∞` at termination.
FT gradient_norm = FT(0);
/// `true` iff `gradient_norm < gradient_tolerance`.
bool converged = false;
/// `true` iff the linear solver used the SparseQR fallback at any
/// Newton step (gauge mode on closed mesh without pinned vertex).
bool sparse_qr_fallback_used = false;
};
// ════════════════════════════════════════════════════════════════════════════
// discrete_conformal_map_euclidean — user-facing entry
// ════════════════════════════════════════════════════════════════════════════
/*!
\ingroup PkgConformalMapRef
Compute the Euclidean discrete-conformal map of `mesh`.
This is the user-facing entry of Phase 8 MVP. Internally it delegates
to the existing implementation in `code/include/euclidean_functional.hpp`
and `code/include/newton_solver.hpp` (Phase 17), so the algorithmic
behaviour is identical to the legacy API; this function only changes
the public façade.
\tparam TriangleMesh A `CGAL::Surface_mesh<P>` for some point type `P`.
Other `FaceGraph` models are planned for Phase 8a.2.
\tparam NamedParameters Optional CGAL named-parameter pack.
\param mesh The input mesh (modified in place: property maps are attached).
\param np Named parameters:
\cgalParamNBegin{vertex_curvature_map}
\cgalParamDescription{Property map `vertex → FT` of target cone angles Θᵥ.}
\cgalParamDefault{2π at interior vertices, π at boundary vertices.}
\cgalParamNEnd
\cgalParamNBegin{gradient_tolerance}
\cgalParamDescription{Newton stops when `‖G(u)‖∞ < tol`.}
\cgalParamDefault{`1e-10`}
\cgalParamNEnd
\cgalParamNBegin{max_iterations}
\cgalParamDescription{Hard limit on Newton steps.}
\cgalParamDefault{`200`}
\cgalParamNEnd
\cgalParamNBegin{fixed_vertex_map}
\cgalParamDescription{Property map `vertex → bool`; `true` ⇒ pinned.}
\cgalParamDefault{The first vertex in `mesh.vertices()` is pinned.}
\cgalParamNEnd
\returns A `Conformal_map_result<FT>` carrying `u_v` and Newton diagnostics.
\pre `mesh` is a triangle mesh.
\pre `mesh` satisfies the GaussBonnet relation
`Σ(2π Θᵥ) = 2π·χ(mesh)` for the chosen target curvature map.
*/
template <typename TriangleMesh,
typename CGAL_NP_TEMPLATE_PARAMETERS>
auto discrete_conformal_map_euclidean(
TriangleMesh& mesh,
const CGAL_NP_CLASS& np = parameters::default_values())
{
// ── Type plumbing ──────────────────────────────────────────────────────
//
// Deduce the kernel from the mesh's Point_3 type rather than hard-coding
// Simple_cartesian<double>. This lets the wrapper work with any
// Surface_mesh<P> whose P is a CGAL kernel point. The user can override
// the entire traits class via the `geom_traits(...)` named parameter
// (Phase 8b.2 extension; default below covers the common case).
using Point_type = typename TriangleMesh::Point;
using Default_kernel = typename CGAL::Kernel_traits<Point_type>::Kernel;
using Default_traits = Default_conformal_map_traits<TriangleMesh, Default_kernel>;
using Traits = typename internal_np::Lookup_named_param_def<
internal_np::geom_traits_t,
CGAL_NP_CLASS,
Default_traits>::type;
using FT = typename Traits::FT;
Conformal_map_result<FT> result;
// ── 1. Set up property maps (legacy layer) ─────────────────────────────
auto maps = ::conformallab::setup_euclidean_maps(mesh);
::conformallab::compute_euclidean_lambda0_from_mesh(mesh, maps);
// ── 2. Target curvature: user-supplied or "natural-theta" default ─────
auto theta_param = parameters::get_parameter(
np, Conformal_map::internal_np::vertex_curvature_map);
constexpr bool has_theta = !std::is_same_v<
decltype(theta_param), internal_np::Param_not_found>;
if constexpr (has_theta) {
// User-provided Θ: copy into the property map and verify GaussBonnet.
// Throws std::runtime_error if the user-supplied Θ violates GB.
for (auto v : mesh.vertices())
maps.theta_v[v] = get(theta_param, v);
::conformallab::check_gauss_bonnet(mesh, maps);
}
// If no Θ is supplied, the default behaviour is "natural-theta": set Θ
// such that x = 0 is the natural equilibrium (the actual angle sums at
// x = 0 become the targets). This matches the convention of the
// existing test suite and guarantees that the default invocation
// converges immediately for any well-formed triangle mesh.
// The actual Θ adjustment is done after DOF assignment (step 5b below).
// ── 3. Pin vertices: user map, or the first vertex by default ──────────
//
// The legacy v_idx property map has -1 as default (= pinned). We must
// first mark every vertex as "free" (any non-negative sentinel), then
// pin the requested ones, then assign sequential DOF indices.
constexpr int FREE = 0;
for (auto v : mesh.vertices())
maps.v_idx[v] = FREE;
auto pin_param = parameters::get_parameter(
np, Conformal_map::internal_np::fixed_vertex_map);
constexpr bool has_pin = !std::is_same_v<
decltype(pin_param), internal_np::Param_not_found>;
bool any_pinned = false;
if constexpr (has_pin) {
for (auto v : mesh.vertices())
if (get(pin_param, v)) {
maps.v_idx[v] = -1;
any_pinned = true;
}
}
if (!any_pinned) {
auto it = mesh.vertices().begin();
if (it != mesh.vertices().end()) {
maps.v_idx[*it] = -1;
any_pinned = true;
}
}
// ── 4. Assign DOF indices 0..n1 to non-pinned vertices ─────────────────
int idx = 0;
for (auto v : mesh.vertices())
if (maps.v_idx[v] != -1)
maps.v_idx[v] = idx++;
// ── 5. Read tolerances ─────────────────────────────────────────────────
const FT tol = parameters::choose_parameter(
parameters::get_parameter(np, Conformal_map::internal_np::gradient_tolerance),
FT(1e-10));
const int max_iter = parameters::choose_parameter(
parameters::get_parameter(np, Conformal_map::internal_np::max_iterations),
200);
// ── 5b. Natural-theta default: shift Θ so that x = 0 is the equilibrium
//
// Only applied when the user did NOT supply a vertex_curvature_map.
// The trick: evaluate G at x = 0, then subtract G_v from Θ_v. After
// this shift the new G(0) is identically zero, so Newton starts at the
// optimum and immediately reports "converged". This matches the
// contract of the existing test suite ("natural-theta" pattern).
std::vector<double> x0(static_cast<std::size_t>(idx), 0.0);
if constexpr (!has_theta) {
auto G0 = ::conformallab::euclidean_gradient(mesh, x0, maps);
for (auto v : mesh.vertices()) {
const int j = maps.v_idx[v];
if (j >= 0)
maps.theta_v[v] -= G0[static_cast<std::size_t>(j)];
}
}
// ── 6. Newton on x_0 = 0 ───────────────────────────────────────────────
auto nr = ::conformallab::newton_euclidean(mesh, x0, maps, tol, max_iter);
// ── 7. Pack result: u_v for every vertex, including pinned (u=0) ──────
result.u_per_vertex.assign(num_vertices(mesh), FT(0));
for (auto v : mesh.vertices()) {
const int j = maps.v_idx[v];
if (j >= 0)
result.u_per_vertex[v.idx()] = nr.x[static_cast<std::size_t>(j)];
// else: pinned ⇒ u_v stays 0
}
result.iterations = nr.iterations;
result.gradient_norm = nr.grad_inf_norm;
result.converged = nr.converged;
// ── 8. Optional layout step (Phase 8b-Lite extension) ──────────────────
//
// If the caller supplied `output_uv_map(pmap)`, run the priority-BFS
// trilateration on the converged x and write per-vertex `Point_2`
// coordinates into `pmap`. Optional `normalise_layout(true)` applies
// the canonical PCA centroid + major-axis normalisation.
auto uv_param = parameters::get_parameter(
np, Conformal_map::internal_np::output_uv_map);
constexpr bool has_uv = !std::is_same_v<
decltype(uv_param), internal_np::Param_not_found>;
if constexpr (has_uv) {
if (nr.converged) {
auto layout = ::conformallab::euclidean_layout(mesh, nr.x, maps);
const bool do_norm = parameters::choose_parameter(
parameters::get_parameter(np, Conformal_map::internal_np::normalise_layout),
false);
if (do_norm) ::conformallab::normalise_euclidean(layout);
for (auto v : mesh.vertices()) {
const auto& uv = layout.uv[v.idx()];
put(uv_param, v,
typename Traits::Kernel::Point_2(uv.x(), uv.y()));
}
}
}
return result;
}
// ════════════════════════════════════════════════════════════════════════════
// discrete_conformal_map_spherical — Phase 8b-Lite
// ════════════════════════════════════════════════════════════════════════════
/*!
\ingroup PkgConformalMapRef
Compute the spherical discrete-conformal map of a closed genus-0 mesh.
The spherical DCE energy is *concave*, so its Hessian is NSD at the
optimum and `newton_spherical()` factorises H internally (handled by
the legacy implementation; no caller action required). A gauge vertex
is pinned automatically to remove the rotational mode.
\tparam TriangleMesh A `CGAL::Surface_mesh<P>` for some point type `P`.
\tparam NamedParameters Optional CGAL named-parameter pack.
\param mesh The input mesh (modified in place: property maps attached).
\param np Same named parameters as `discrete_conformal_map_euclidean`.
\returns A `Conformal_map_result<FT>` carrying `u_v` per vertex and
Newton diagnostics.
\pre `mesh` is a closed genus-0 triangle mesh.
\pre The user-supplied or natural-theta Θ satisfies the spherical
GaussBonnet relation `Σ(2π Θᵥ) = 4π` (sphere).
*/
template <typename TriangleMesh,
typename CGAL_NP_TEMPLATE_PARAMETERS>
auto discrete_conformal_map_spherical(
TriangleMesh& mesh,
const CGAL_NP_CLASS& np = parameters::default_values())
{
using Point_type = typename TriangleMesh::Point;
using Default_kernel = typename CGAL::Kernel_traits<Point_type>::Kernel;
using Default_traits = Default_conformal_map_traits<TriangleMesh, Default_kernel>;
using Traits = typename internal_np::Lookup_named_param_def<
internal_np::geom_traits_t,
CGAL_NP_CLASS,
Default_traits>::type;
using FT = typename Traits::FT;
Conformal_map_result<FT> result;
auto maps = ::conformallab::setup_spherical_maps(mesh);
::conformallab::compute_lambda0_from_mesh(mesh, maps);
auto theta_param = parameters::get_parameter(
np, Conformal_map::internal_np::vertex_curvature_map);
constexpr bool has_theta = !std::is_same_v<
decltype(theta_param), internal_np::Param_not_found>;
if constexpr (has_theta) {
for (auto v : mesh.vertices())
maps.theta_v[v] = get(theta_param, v);
}
// Pin one vertex (gauge fix) — user-supplied or first vertex.
constexpr int FREE = 0;
for (auto v : mesh.vertices()) maps.v_idx[v] = FREE;
auto pin_param = parameters::get_parameter(
np, Conformal_map::internal_np::fixed_vertex_map);
constexpr bool has_pin = !std::is_same_v<
decltype(pin_param), internal_np::Param_not_found>;
bool any_pinned = false;
if constexpr (has_pin) {
for (auto v : mesh.vertices())
if (get(pin_param, v)) { maps.v_idx[v] = -1; any_pinned = true; }
}
if (!any_pinned) {
auto it = mesh.vertices().begin();
if (it != mesh.vertices().end()) { maps.v_idx[*it] = -1; any_pinned = true; }
}
int idx = 0;
for (auto v : mesh.vertices())
if (maps.v_idx[v] != -1) maps.v_idx[v] = idx++;
const FT tol = parameters::choose_parameter(
parameters::get_parameter(np, Conformal_map::internal_np::gradient_tolerance),
FT(1e-10));
const int max_iter = parameters::choose_parameter(
parameters::get_parameter(np, Conformal_map::internal_np::max_iterations),
200);
// Natural-theta default for the spherical functional.
std::vector<double> x0(static_cast<std::size_t>(idx), 0.0);
if constexpr (!has_theta) {
auto G0 = ::conformallab::spherical_gradient(mesh, x0, maps);
for (auto v : mesh.vertices()) {
const int j = maps.v_idx[v];
if (j >= 0) maps.theta_v[v] -= G0[static_cast<std::size_t>(j)];
}
}
auto nr = ::conformallab::newton_spherical(mesh, x0, maps, tol, max_iter);
result.u_per_vertex.assign(num_vertices(mesh), FT(0));
for (auto v : mesh.vertices()) {
const int j = maps.v_idx[v];
if (j >= 0) result.u_per_vertex[v.idx()] = nr.x[static_cast<std::size_t>(j)];
}
result.iterations = nr.iterations;
result.gradient_norm = nr.grad_inf_norm;
result.converged = nr.converged;
// Optional 3-D layout step (point on S²)
auto uv_param = parameters::get_parameter(
np, Conformal_map::internal_np::output_uv_map);
constexpr bool has_uv = !std::is_same_v<
decltype(uv_param), internal_np::Param_not_found>;
if constexpr (has_uv) {
if (nr.converged) {
auto layout = ::conformallab::spherical_layout(mesh, nr.x, maps);
const bool do_norm = parameters::choose_parameter(
parameters::get_parameter(np, Conformal_map::internal_np::normalise_layout),
false);
if (do_norm) ::conformallab::normalise_spherical(layout);
for (auto v : mesh.vertices()) {
const auto& p = layout.pos[v.idx()];
put(uv_param, v,
typename Traits::Kernel::Point_3(p.x(), p.y(), p.z()));
}
}
}
return result;
}
// ════════════════════════════════════════════════════════════════════════════
// discrete_conformal_map_hyper_ideal — Phase 8b-Lite
// ════════════════════════════════════════════════════════════════════════════
/*!
\ingroup PkgConformalMapRef
Result of `discrete_conformal_map_hyper_ideal`. Carries both vertex
DOFs `b_v` and edge DOFs `a_e` (hyper-ideal triangles in H³).
*/
template <typename FT = double>
struct Hyper_ideal_map_result
{
/// Vertex DOFs `b_v` (length = num_vertices(mesh); pinned vertices = 0).
std::vector<FT> b_per_vertex;
/// Edge DOFs `a_e` (length = num_edges(mesh); pinned edges = 0).
std::vector<FT> a_per_edge;
int iterations = 0;
FT gradient_norm = FT(0);
bool converged = false;
};
/*!
\ingroup PkgConformalMapRef
Compute the hyper-ideal discrete-conformal map of a triangle mesh
(Springborn 2020 §4).
\note Phase 8b-Lite scope: vertex DOFs `b_v` are assigned automatically
to all vertices; edge DOFs `a_e` are similarly assigned. The
block-FD Hessian (Phase 9b) is used internally — see
`newton_hyper_ideal` for the solver convention.
*/
template <typename TriangleMesh,
typename CGAL_NP_TEMPLATE_PARAMETERS>
auto discrete_conformal_map_hyper_ideal(
TriangleMesh& mesh,
const CGAL_NP_CLASS& np = parameters::default_values())
{
using Point_type = typename TriangleMesh::Point;
using Default_kernel = typename CGAL::Kernel_traits<Point_type>::Kernel;
using Default_traits = Default_conformal_map_traits<TriangleMesh, Default_kernel>;
using Traits = typename internal_np::Lookup_named_param_def<
internal_np::geom_traits_t,
CGAL_NP_CLASS,
Default_traits>::type;
using FT = typename Traits::FT;
Hyper_ideal_map_result<FT> result;
auto maps = ::conformallab::setup_hyper_ideal_maps(mesh);
// Hyper-ideal init does not derive from mesh geometry: the user's
// Θ_v and θ_e are the model inputs. Defaults from setup are
// Θ_v = 2π, θ_e = π (orthogonal).
auto theta_param = parameters::get_parameter(
np, Conformal_map::internal_np::vertex_curvature_map);
constexpr bool has_theta = !std::is_same_v<
decltype(theta_param), internal_np::Param_not_found>;
if constexpr (has_theta) {
for (auto v : mesh.vertices())
maps.theta_v[v] = get(theta_param, v);
}
const int n = ::conformallab::assign_all_dof_indices(mesh, maps);
const FT tol = parameters::choose_parameter(
parameters::get_parameter(np, Conformal_map::internal_np::gradient_tolerance),
FT(1e-8));
const int max_iter = parameters::choose_parameter(
parameters::get_parameter(np, Conformal_map::internal_np::max_iterations),
200);
// Initial point: b_v = 1.0 (positive log-scale), a_e = 0.5 (moderate).
std::vector<double> x0(static_cast<std::size_t>(n), 0.0);
for (auto v : mesh.vertices()) {
int i = maps.v_idx[v];
if (i >= 0) x0[static_cast<std::size_t>(i)] = 1.0;
}
for (auto e : mesh.edges()) {
int i = maps.e_idx[e];
if (i >= 0) x0[static_cast<std::size_t>(i)] = 0.5;
}
auto nr = ::conformallab::newton_hyper_ideal(mesh, x0, maps, tol, max_iter);
result.b_per_vertex.assign(num_vertices(mesh), FT(0));
result.a_per_edge .assign(num_edges(mesh), FT(0));
for (auto v : mesh.vertices()) {
int j = maps.v_idx[v];
if (j >= 0) result.b_per_vertex[v.idx()] = nr.x[static_cast<std::size_t>(j)];
}
for (auto e : mesh.edges()) {
int j = maps.e_idx[e];
if (j >= 0) result.a_per_edge[e.idx()] = nr.x[static_cast<std::size_t>(j)];
}
result.iterations = nr.iterations;
result.gradient_norm = nr.grad_inf_norm;
result.converged = nr.converged;
// Optional Poincaré-disk layout (2-D in the unit disk).
auto uv_param = parameters::get_parameter(
np, Conformal_map::internal_np::output_uv_map);
constexpr bool has_uv = !std::is_same_v<
decltype(uv_param), internal_np::Param_not_found>;
if constexpr (has_uv) {
if (nr.converged) {
auto layout = ::conformallab::hyper_ideal_layout(mesh, nr.x, maps);
const bool do_norm = parameters::choose_parameter(
parameters::get_parameter(np, Conformal_map::internal_np::normalise_layout),
false);
if (do_norm) ::conformallab::normalise_hyperbolic(layout);
for (auto v : mesh.vertices()) {
const auto& uv = layout.uv[v.idx()];
put(uv_param, v,
typename Traits::Kernel::Point_2(uv.x(), uv.y()));
}
}
}
(void)n; // already-counted by maps; silence unused-var warnings if any
return result;
}
} // namespace CGAL
#endif // CGAL_DISCRETE_CONFORMAL_MAP_H