# Public Headers (`code/include/`) All algorithms are header-only. Include the headers you need directly — there is no compiled library to link against (only GTest for tests and CGAL/Eigen for the CGAL-dependent headers). ## Core mesh type | Header | Description | |---|---| | `conformal_mesh.hpp` | `ConformalMesh` = `CGAL::Surface_mesh`. Property-map naming convention. Index type aliases. `GeometryType` enum. | | `constants.hpp` | `conformallab::PI`, `TWO_PI` | | `mesh_builder.hpp` | `make_triangle()` / `make_tetrahedron()` / `make_quad_strip()` / `make_fan()` / `make_open_cylinder()` — test mesh factories | | `mesh_io.hpp` | `load_mesh()` / `save_mesh()` via `CGAL::IO` (OFF / OBJ / PLY) | | `mesh_utils.hpp` | `cgal_to_eigen()` — convert `ConformalMesh` vertex positions to `Eigen::MatrixXd` | ## Special functions | Header | Description | |---|---| | `clausen.hpp` | `clausen_cl2(θ)` (Clausen Cl₂), `lobachevsky(θ)` (Л), `im_li2(θ)` (ImLi₂ = imaginary part of dilogarithm) | ## HyperIdeal geometry (H²) | Header | Description | |---|---| | `hyper_ideal_geometry.hpp` | `ζ₁₃`, `ζ₁₄`, `ζ₁₅` (Springborn 2020), `l_from_zeta()`, `alpha_ij()`, `beta_i()`, `sigma_i()`, `sigma_ij()` | | `hyper_ideal_utility.hpp` | Tetrahedron volumes (Meyerhoff formula, Kolpakov–Mednykh) | | `hyper_ideal_visualization_utility.hpp` | Poincaré disk projection, circumcircle helpers, Lorentz boost | | `hyper_ideal_functional.hpp` | `HyperIdealMaps`, `setup_hyper_ideal_maps()`, `compute_hyper_ideal_lambda0_from_mesh()`, `assign_all_dof_indices()`, `hyper_ideal_gradient()`, `hyper_ideal_energy()` | | `hyper_ideal_hessian.hpp` | `hyper_ideal_hessian()` — symmetric FD Hessian (Phase 9b: analytic) | ## Spherical geometry (S²) | Header | Description | |---|---| | `spherical_geometry.hpp` | Spherical arc-length, half-angle formula, spherical law of cosines | | `spherical_functional.hpp` | `SphericalMaps`, `setup_spherical_maps()`, `compute_spherical_lambda0_from_mesh()`, `spherical_gradient()`, `spherical_energy()` | | `spherical_hessian.hpp` | `spherical_hessian()` — analytic Hessian via ∂α/∂u from law of cosines | ## Euclidean geometry (ℝ²) | Header | Description | |---|---| | `euclidean_geometry.hpp` | Euclidean corner angle (t-value / atan2), edge lengths from DOF vector | | `euclidean_functional.hpp` | `EuclideanMaps`, `setup_euclidean_maps()`, `compute_euclidean_lambda0_from_mesh()`, `euclidean_gradient()`, `euclidean_energy()` | | `euclidean_hessian.hpp` | `euclidean_hessian()` — cotangent Laplacian (Pinkall–Polthier 1993) | ## Circle-packing functionals (Phase 9a) | Header | Description | |---|---| | `cp_euclidean_functional.hpp` | **Face-based** CP-Euclidean (Bobenko–Pinkall–Springborn 2010), port of Java `CPEuclideanFunctional`. `CPEuclideanMaps`, `setup_cp_euclidean_maps()`, `assign_cp_euclidean_face_dof_indices()`, `cp_euclidean_gradient()`, `cp_euclidean_energy()`, **analytic** `cp_euclidean_hessian()` (2×2-per-edge `h_jk = sin θ / (cosh Δρ − cos θ)`) | | `inversive_distance_functional.hpp` | **Vertex-based** inversive-distance (Luo 2004, no Java original). `InversiveDistanceMaps`, `setup_inversive_distance_maps()`, `compute_inversive_distance_init_from_mesh()` (Bowers–Stephenson 2004 init), `inversive_distance_gradient()`, `inversive_distance_energy()` | ## Solver | Header | Description | |---|---| | `newton_solver.hpp` | Five Newton solvers — `newton_euclidean()`, `newton_spherical()`, `newton_hyper_ideal()` (uses block-FD Hessian since Phase 9b), `newton_cp_euclidean()` (analytic Hessian, Phase 9a-Newton), `newton_inversive_distance()` (FD Hessian, Phase 9a-Newton). Plus `solve_linear_system()` (SimplicialLDLT + SparseQR fallback) and the `NewtonResult` struct. | ## Preprocessing | Header | Description | |---|---| | `gauss_bonnet.hpp` | `euler_characteristic()`, `genus()`, `gauss_bonnet_sum()`, `gauss_bonnet_rhs()`, `gauss_bonnet_deficit()`, `check_gauss_bonnet()`, `enforce_gauss_bonnet()` | ## Layout and holonomy | Header | Description | |---|---| | `cut_graph.hpp` | `CutGraph` struct, `compute_cut_graph()` — tree-cotree algorithm (Erickson–Whittlesey 2005), produces 2g seam edges | | `layout.hpp` | `euclidean_layout()`, `spherical_layout()`, `hyper_ideal_layout()`, `normalise_{euclidean,hyperbolic,spherical}()`. Structs: `Layout2D`, `Layout3D`, `HolonomyData`. `MobiusMap` (T(z)=(az+b)/(cz+d), `from_three`, `compose`, `inverse`, `apply`). Priority-BFS, `halfedge_uv`. | ## Post-processing | Header | Description | |---|---| | `period_matrix.hpp` | `PeriodData`, `compute_period_matrix()`, `reduce_to_fundamental_domain()`, `is_in_fundamental_domain()` — period ratio τ = ω₂/ω₁ ∈ ℍ, SL(2,ℤ) reduction | | `fundamental_domain.hpp` | `FundamentalDomain`, `compute_fundamental_domain()` (genus 1: CCW parallelogram; genus > 1: empty, TODO Phase 9c), `tiling_copy()`, `tiling_neighbourhood()` | | `serialization.hpp` | `save_result_json()`, `load_result_json()`, `save_result_xml()`, `load_result_xml()`, `save_layout_off()` | ## Math utilities These headers contain pure-math helpers used internally across the package. All are also re-exported on the public API so downstream consumers (e.g. user code that wants to assemble a custom functional) can use them directly. | Header | Description | |---|---| | `matrix_utility.hpp` | Small linear-algebra helpers used by `period_matrix.hpp` (2×2 determinant, …) | | `projective_math.hpp` | Real projective 2-space helpers (point on line, lines through points, dual) | | `p2_utility.hpp` | Higher-level P² utilities used by hyper-ideal layout (perpendicular bisectors in Poincaré disk, etc.) | | `discrete_elliptic_utility.hpp` | Genus-1 / elliptic-curve helpers — half-period ratio τ from texture coords; bridge to genus-1 fundamental domain | ## CGAL public API (Phase 8b-Lite) These headers live under `include/CGAL/` and are the user-facing entry points. They are thin wrappers over the implementation in `code/include/*.hpp`, exposing the five DCE models through a CGAL-conventional interface. | Header | Description | |---|---| | `CGAL/Conformal_map_traits.h` | `ConformalMapTraits` concept + `Default_conformal_map_traits` (Euclidean-flavoured base trait) | | `CGAL/Discrete_conformal_map.h` | `discrete_conformal_map_euclidean()`, `discrete_conformal_map_spherical()`, `discrete_conformal_map_hyper_ideal()`. Result types `Conformal_map_result` and `Hyper_ideal_map_result` | | `CGAL/Discrete_circle_packing.h` | `Default_cp_euclidean_traits` + `discrete_circle_packing_euclidean()`. Result: `Circle_packing_result` with `rho_per_face` | | `CGAL/Discrete_inversive_distance.h` | `Default_inversive_distance_traits` + `discrete_inversive_distance_map()`. Result: `Conformal_map_result` reused | | `CGAL/Conformal_layout.h` | Thin re-export of `euclidean_layout`, `spherical_layout`, `hyper_ideal_layout` into the `CGAL::` namespace | | `CGAL/Conformal_map/internal/parameters.h` | (internal) Named-parameter tags for `CGAL::parameters::*` |