Replaces the "Springborn / Bobenko alumnus" placeholder in the reviewer materials (briefing, questions, agenda, README) and in locked-vs-flexible.md with a research-profile description: active researcher in the decorated-DCE / Penner-coordinates / canonical-tessellations / hyperideal-polyhedra line, treated as a peer most likely to USE conformallab++ as numerical infrastructure for their own future experiments — not merely to evaluate it. Citations to the published literature (Springborn 2020 paper, etc.) remain untouched. Only personal references to the prospective reviewer were anonymised. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
5.5 KiB
Questions for the external reviewer
Please skim this before the meeting. Each question is scoped so that "do A" / "do B" / "either is fine" is a sufficient answer; deeper dives are welcome but not required.
These are the five decisions that would benefit most from a second opinion. Items 1-3 affect the porting roadmap directly; 4-5 affect the long-term goal (CGAL submission).
Q1 — Phase 9c (4g-polygon canonical form): port-literal vs re-derive?
The Java original has two utility classes:
FundamentalPolygonUtility(~600 lines)CanonicalFormUtility(~900 lines)
that together compute the canonical 4g-polygon for a higher-genus surface from its cut graph.
We can either:
- (A) Port literally (~2 weeks). Faithful, predictable, fixes the Java algorithm in C++. Down-side: we inherit the Java code's ad-hoc style and edge-case handling.
- (B) Re-derive from Springborn 2020 §5 (~3 weeks). Uses our
existing
cut_graph.hpp+ holonomy infrastructure cleanly. Down-side: longer; potential for new bugs not seen by the Java original's test cases.
Question: which route do you prefer, and is there a reference implementation (Mathematica notebook, paper appendix, other research codebase) we should cross-validate against?
Context: doc/roadmap/phases.md §Phase 9c, doc/roadmap/porting-status.md.
Q2 — Phase 9b-analytic Hessian: implement now or later?
We have:
- Done: per-face block-FD Hessian (96× faster than naive full-FD).
- Derived but not implemented: analytic Hessian via the Schläfli identity, expected ~6× further speedup over block-FD.
- Derivation document:
doc/math/hyperideal-hessian-derivation.md(805 lines, all sign pitfalls covered, references Schläfli 1858, Milnor 1982, Vinberg 1993, Cho-Kim 1999, Glickenstein 2011, Springborn 2020).
Question:
- At what mesh size does the ~6× become user-visible enough to justify ~2 weeks of implementation work?
- Are you aware of subtleties in the Schläfli-based derivation our document might be missing?
If the answer is "implement", we'd target Phase 9b-analytic right after the meeting.
Q3 — output_uv_map for CP-Euclidean: build now or defer?
For CP-Euclidean (face-based DOFs, BPS 2010) the natural output is a
per-face circle packing in ℝ² — not a per-vertex Point_2 map
the way the other four DCE entries produce.
Today the entry throws std::runtime_error with a helpful pointer if
the caller passes output_uv_map(...). A faithful layout would be
~150 lines implementing BPS-2010 §6.
Question: do your CP-Euclidean use cases need a UV-like output, or are the face circle radii themselves the deliverable? The answer shapes whether Phase 9c gets it now or later.
Q4 — CGAL submission strategy: one package or five?
For the long-term CGAL submission:
- (A) One package "Discrete_conformal_map" — single entry header, five solver functions, one set of named parameters. Easier for users to find; harder to compartmentalise reviews.
- (B) Five packages "Discrete_*" — each DCE model is its own CGAL package with its own concept + reference manual. More ceremony for users; more familiar review surface for CGAL editors.
Today the code is structured per-functional (Strategy C — see
locked-vs-flexible.md §7).
Either submission packaging is achievable from this base.
Question: what's the CGAL editor convention for related-but-distinct algorithms — Polygon_mesh_processing as one example (one package, many algorithms), vs Triangulation_2/Triangulation_3/Periodic_/Hyperbolic_ as another (multiple packages for related algorithms)?
Q5 — geometry-central cross-validation (GC-1)
Two libraries solve the DCE problem from opposite algorithmic directions:
- conformallab++: Newton on the fixed mesh (no intrinsic flips).
- geometry-central: Ptolemy flips on an intrinsic triangulation.
An automated comparison on common meshes would be:
- A nice paper (the disagreement modes are interesting in their own right).
- A confidence-building tool for both libraries (we benefit from catching corner-case bugs, they benefit from cross-validation against a Newton baseline).
- ~3 days of plumbing (CMake-fetch geometry-central, write 5 common
test meshes, compare
u_per_vertexto a tolerance).
Question: would you be interested in co-authoring such a comparison note (with us doing the implementation)? Or do you know someone in the Crane group who would?
Things you do not need to comment on (unless you want)
- C++ style choices captured in
.clang-format+.clang-tidy. - Test framework choice (GTest).
- License (MIT, with vendored deps catalogued in
code/deps/THIRD-PARTY-LICENSES.md). - Build system (CMake ≥ 3.20, header-only consumer + optional CLI/Viewer).
These are conscious decisions matched to CGAL conventions and aren't load-bearing in the sense that revisiting them later is cheap.
What I'm hoping you'll say "no" to
This is a deliberately blunt question because positive feedback is nice but negative feedback is rarer and more valuable:
Looking at any of the 12 architecture decisions in
locked-vs-flexible.md, is
there one where you think "no, that's the wrong call, here's why"?
The 🔴 load-bearing decisions are the most consequential to revisit, because waiting longer makes them more expensive. No is the most useful answer.