Files
ConformalLabpp/doc/reviewer/java-ignore-crossvalidation.md
Tarik Moussa ea5f01d73d feat(euclidean): block-FD edge-DOF Hessian → cyclic Newton + Java convergence oracle
Implements the edge-DOF (cyclic) Euclidean Hessian, unblocking the full cyclic
Newton solve, and enables the Java EuclideanCyclicConvergenceTest cross-validation.

- euclidean_hessian.hpp: `euclidean_hessian_block_fd` / `_sym` — per-face 6×6
  block FD over (u1,u2,u3,λ12,λ23,λ31), mirroring hyper_ideal_hessian_block_fd.
  Per-face outputs carry the gradient signs (−α vertex, +α_opp edge), so the
  result equals ∂G/∂x by construction (locality lemma). Analytic vertex-only
  cotangent Hessian unchanged (still used for vertex-only layouts).
- newton_solver.hpp: newton_euclidean routes cyclic layouts (edge DOFs present)
  through the block-FD Hessian; vertex-only path unchanged.
- tests:
  * CyclicCircularEdge_CatHead_JavaXVal (now GREEN) — prescribe φ=π−0.1 on one
    interior edge, solve, assert realised α_opp+α_opp = π−0.1 @1e-9.
  * CyclicCircularEdge_PhiEntersGradient_CatHead — solver-free φ-wiring check.
  * CyclicHessian_BlockFD_MatchesGradientFD_Tetrahedron — Hessian correctness.

243/243 cgal tests pass; vertex-only Euclidean Newton unaffected.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-05-30 17:32:02 +02:00

12 KiB
Raw Blame History

Cross-validation potential of the Java @Ignored tests

Purpose. The upstream Java library (de.varylab.discreteconformal) has 22 test files with @Ignored tests. This document classifies them by why they are ignored and by their cross-validation value for the C++ port, so that the highest-value golden oracles get ported first.

Created: 2026-05-29 (external-reviewer pass). See also doc/reviewer/java-port-audit.md and PR #27 (tests/java-golden-oracles).


1 — Two root causes for @Ignore

Cause Count Meaning for the C++ port
requires ARM64 PETSc native lib (class-level) 15 files Not a logic problem. Java solves via PETSc/TAO (native lib) which does not run on ARM64. The C++ port uses Eigen (no PETSc) and can run these scenarios — iff the feature is ported and the Java test carries a hard-coded expected value.
Logic / known-issue (method-level) ~8 methods Mostly mark Java gaps (no Hessian, layout unfinished) or ARM64 FP flakiness. Usually not reliable oracles.

A critical distinction: PR #27 cross-validates functional evaluations (energy/gradient — no solver, so no PETSc needed). The full-solve golden values exist only as hard-coded vectors recorded from a historical x86 PETSc run — and those live exclusively in HyperIdealConvergenceTest.


2 — Already locked by PR #27 (do not duplicate)

tests/java-golden-oracles pins, bit-for-bit (1e-12), against compiled Java:

  • HyperIdealGoldenJava — Clausen/Л/ImLi₂, ζ₁₃/₁₄/₁₅/ζ, both tetrahedron-volume formulas.
  • EuclideanGoldenJava / SphericalGoldenJava — angle formulas, β relations, Л energy terms, small full-mesh oracles on a tetrahedron (gradient Θ−Σα, ΔE = E(x)E(0)).
  • SphericalGoldenJava.FullMeshEdgeDofGradient — edge-DOF gradient.
  • PeriodMatrix.NormalizeModulus_GoldenJava — τ-reduction fold convention.

These cover the unit math cores and functional evaluation. They do not cover solver/convergence or full uniformization.


3 — Priority ranking for new cross-validation

🟢 HIGH — real golden oracle, feature already in C++

Item Java source Oracle Blocker / effort
HyperIdeal Lawson convergence HyperIdealConvergenceTest.testHyperIdealConvergence hard-coded golden u* (perfectly symmetric — robust to DOF order) needs a low-level half-edge generator (make_lawson_square_tiled); CGAL add_face cannot build it (multi-edges, see §5). Effort: medium (12 d).

Golden solution (Lawson square-tiled, BLMVM, tol 1e-10), 22 DOFs:

vertices (×4,  θ=2π)   : 1.1462158341786262
edges    (×12, θ=π/2)  : 1.7627471737467797 / …7866   (symmetric pair)
edges    (×6,  θ=π aux): 2.633915794495759

Assertion strategy: because the values are symmetric per DOF-class, assert per class (every vertex DOF ≈ 1.14621…, every π/2-edge ≈ 1.76274…, every π-edge ≈ 2.63391…) to 1e-6 — no DOF-order fidelity required.

🟡 MEDIUM — golden/strong oracle, needs asset or near-term phase

Item Java source Oracle Blocker
Genus-1 uniformization UniformizerTest.testGenus1 (Wente, 1240 V) angle-sum = 2π + vertex count (self-consistency) needs wente.obj asset + a "load OBJ → uniformize" path; C++ Euclidean solver exists.
HyperIdeal Lawson + branch points …WithBranchPoints hard-coded golden u* (near-symmetric — DOF order matters more) same generator as HIGH + branch-point variant.
HyperIdeal layout HyperIdealLayoutTest layout positions needs the generator + layout.hpp hyper-ideal path exercised.
Euclidean big-model scale EuclideanUnwrapperPetscTest.testStaticUnwrapBigModel mostly self-check scale/robustness cross-check; low oracle strength.

🔵 LATER — feature not yet in C++ (Phase 9d.2 / 10c / 13 / 11)

Item Java source Maps to
Genus-2 uniformization UniformizerTest.testGenus2 (Lawson 2498) Phase 10c / 13
HyperIdeal hyperelliptic convergence …HyperEllipticCurveLawson (has golden u*) Phase 13
Hyperbolic disk uniformization HyperbolicDiskUniformizationTest Phase 10c (gated on holonomy bug)
Möbius centring (grad/Hessian/convergence golden) MobiusCenteringFunctionalTest Phase 9d.4
Quasi-isothermic suite (SinCondition, SNES, Utility, Layout, ConformalStructure) …quasiisothermic.* Phase 10e
Schottky uniformisation SchottkyUtilityTest Phase 11a
Circle-domain (multiply-connected) CircleDomainUnwrapperTest Phase 11c
Electrostatic-sphere baseline ElectrostaticSphereFunctionalTest Phase 10c (optional)

NON-ORACLE — do not port as cross-validation

Item Why it is not an oracle
HyperIdealFunctionalTest.testHessian (@Ignore@Override, empty) Java has no HyperIdeal Hessian (hasHessian()==false). C++ adds it (block-FD, Phase 9b) → validate against C++ FD, not Java. Documents the C++ delta.
ElectrostaticSphereFunctionalTest.testHessian same — Hessian not implemented in Java.
HyperbolicLayoutTest.testDoLayout throws "Not implemented correctly yet!"Java itself unfinished; no reference to validate against.
SurfaceCurveUtilityTest.testCreateSurfaceCurves known issue: non-deterministic edge count on ARM64 — flaky, not a stable oracle.
HyperbolicCyclicConvergenceTest.testEuclideanConvergence known issue: ARM64 FP accumulation, angle sum outside 1e-8 — flaky.
HyperIdealUtilityTest.testZeta13 asserts ζ₁₃(0.1,0.1,0.1)=0.1, which looks wrong; the other volume/ζ tests already run and are ported. Verify the correct value before any use.
HyperIdealPluginTest plugin/TAO-application wiring, not pure math.
TwoHoleExample.testLetterB demo/example, no assertion of record.
SphericalUnwrapperTest PETSc variants the MTJ variants (not ignored) already cover the same cases on cathead.

3b — Effort-adjusted tiering (2026-05-29 inventory)

A broader scan (not just @Ignored tests) revealed that the §3 ranking was effort-blind: cheaper, equally-valuable oracles exist than the Lawson generator. Re-tiered by value / cost:

Tier Oracle Mesh / asset Solver Golden C++ status Cost
1 EuclideanCyclicConvergenceTest cathead.obj (already in C++) MTJ BiCGstab (no PETSc) α_opp+α_opp = π0.1 @1e-12 (per-edge φ target) euclidean_functional , phi_e , cathead near-zero
1 SphericalConvergenceTest octahedron MTJ Newton (no PETSc) self-consistency (const. curvature) spherical , make_octahedron_face low
2 Wente genus-1 uniformization wente_torus02.obj + wente_uniformization.xml — (stored result) exact IsometryPSL2R uniformizing-group generators holonomy/MobiusMap ; needs XML reader medium
2 regular_uniformization.xml (stored) uniformization data needs XML reader medium
3 HyperIdeal Lawson convergence (3 golden vectors) combinatorial createLawsonSquareTiled — (hard-coded u*) symmetric u* needs low-level half-edge generator (§5) high
4 genus-2 (genus2.xml/lawson2498.obj), holomorphic forms (HolomorphicEuclideanUniformization_*.xml), Schottky (genus2.xml), hyperelliptic assets present in Java various Phases 10a/10c/11/13 future

Key correction: the Lawson generator (originally flagged HIGH) is actually Tier 3 — higher effort than Tier 1/2. Cheapest first wins:

  1. Tier 1 — EuclideanCyclicConvergenceTest on cathead (asset already present; the C++ edge gradient G_e = α_opp(f⁺)+α_opp(f⁻) φ_e makes the Java assertion α_opp+α_opp = π0.1 exactly the converged G_e = 0 condition with phi_e = π0.1). Fails if the solver ignores a non-default φ, so it is a genuine check, not a tautology.
  2. Tier 1 — SphericalConvergenceTest on the octahedron.
  3. Tier 2 — Wente genus-1 uniformization (needs a small UniformizationData XML reader; strongest deterministic pipeline oracle that maps to landed C++).
  4. Tier 3 — Lawson generator (only after Tiers 12).

Build-verification finding (2026-05-29) → resolved (2026-05-30)

Attempting the Tier-1 EuclideanCyclicConvergenceTest port build-verified a blocker first: newton_euclideaneuclidean_hessian threw "edge DOFs are not supported". The cyclic functional needs vertex + edge DOFs (the gradient supported them; the analytic cotangent Hessian did not). That is why PR #27 cross-validated only the cyclic evaluation, never a solve.

Resolved (2026-05-30): implemented a block-FD edge-DOF Euclidean Hessian (euclidean_hessian_block_fd / _sym in euclidean_hessian.hpp, mirroring hyper_ideal_hessian_block_fd); newton_euclidean now routes cyclic layouts (edge DOFs present) through it, vertex-only layouts still use the analytic cotangent Laplacian.

Landed (test_euclidean_functional.cpp, all GREEN, 243/243 cgal tests pass):

  • CyclicCircularEdge_PhiEntersGradient_CatHead — solver-free check that the circular-edge φ enters the gradient exactly (ΔG_e = Δφ_e @1e-12).
  • CyclicCircularEdge_CatHead_JavaXValthe full Java convergence oracle: prescribe φ = π0.1 on one interior ("circular") edge of cathead, solve the cyclic Newton, assert the realised α_opp+α_opp = π0.1 @1e-9.
  • CyclicHessian_BlockFD_MatchesGradientFD_Tetrahedron — the block-FD edge-DOF Hessian matches the column-wise gradient FD on the full cyclic layout.

DOF note: only the single circular edge gets an edge DOF (as in Java's one circularHoleEdge). Giving every edge a DOF makes λ_e redundant with u_i+u_j (a V-dim null space) and stalls Newton.

Spherical convergence (Tier-1 #2) was found already covered by test_newton_solver (Spherical_ConvergesFromPerturbation et al.), and make_octahedron_face() is a single face, not a closed octahedron — so it adds little. → next genuinely-new target: Tier 2 (Wente uniformization XML). A full analytic edge-DOF Hessian (vs the current block-FD) remains a future optimisation.

Other generators in the Java tree

HyperellipticCurveGenerator (→ Phase 13), SchottkyGenerator (→ Phase 11a), FunctionalTest.createOctahedron/createTetrahedron (trivial — C++ has make_octahedron_face / make_tetrahedron).


  1. Port make_lawson_square_tiled() (low-level half-edge; see §5) → unblocks the single HIGH oracle and the MED branch-point variant in one go.
  2. Add HyperIdealLawsonGoldenJava test using the per-class symmetric assertion above (robust, no DOF-order matching).
  3. Add wente.obj asset → genus-1 uniformization self-consistency (MED).
  4. Defer LATER items to their phases; revisit golden vectors then (branch-point and hyperelliptic golden u* are already recorded in the Java tests and can be reused verbatim once the generator exists).

5 — Why the Lawson mesh needs a low-level generator

HyperIdealGenerator.createLawsonSquareTiledBase() builds a genus-2 surface with 4 vertices and 12 edges (24 half-edges), then triangulates 6 quad faces (adding 6 diagonal "aux" edges, θ=π; the 12 originals get θ=π/2).

With only 4 vertices and 12 edges, most vertex pairs carry more than one edge (multi-edges). CGAL Surface_mesh::add_face and polygon-soup builders key edges by their endpoint vertex pair and therefore cannot represent multi-edges — they would either fail or glue the surface into the wrong topology. Java sidesteps this with explicit half-edge IDs and linkOppositeEdge / linkNextEdge.

The C++ port must replicate this with the low-level half-edge API (add_vertex, add_edge, and explicit set_next / set_target / set_face connectivity), mirroring the exact opposite/next links from createLawsonSquareTiledBase() (edges 023). The symmetric golden vector then makes the resulting test robust even though CGAL's DOF ordering differs from Java's.