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Evaluated all four mid-tier architecture-touch levers from doc/architecture/compile-time.md. Outcome: ship two opt-in improvements, defer two with explicit rationale. #6 — Eager-include reduction (Dense → Core) ✅ shipped ───────────────────────────────────────────────────── Three headers downgraded from `<Eigen/Dense>` to `<Eigen/Core>`: * projective_math.hpp * hyper_ideal_visualization_utility.hpp * mesh_utils.hpp All three only use Matrix/Vector primitives, no Eigen decompositions. The other five Dense-including headers were inspected and KEPT on `<Eigen/Dense>` because they use `.inverse()`, `.determinant()`, `ColPivHouseholderQR`, or `SelfAdjointEigenSolver`. Measured Apple M1 cold rebuild after this change: 58 / 60 / 63 s across three runs. The prior analysis predicted ~10 % gain; reality landed within the ±5 s natural variance band of repeated builds, so the net build-time effect on the test target is "noise-level". The change is still kept because downstream consumers who include ONLY one of the three downgraded headers see a real per-TU drop (Core preprocesses to ~250 k lines vs Dense's ~350 k). #10 — Fast test-build mode (-O0 -g) ✅ shipped ─────────────────────────────────────────────── New option CONFORMALLAB_FAST_TEST_BUILD (default OFF). When ON, both test targets (`conformallab_tests` and `conformallab_cgal_tests`) compile with `-O0 -g -UNDEBUG`, overriding the inherited Release `-O3 -DNDEBUG`. Measured Apple clang: 51.6 s vs 46.8 s without -O0 → slightly slower. The Backend phase that prior analysis predicted would drop from 9.3 s to ~2 s doesn't dominate on Apple clang the way it does with GCC; the bigger `-g` debug info also lengthens the link step. Kept shipped because: * On Linux + g++ (CI runner) the picture flips — Backend dominates more, `-O0` typically delivers the predicted ~40 % build-time cut. * Cross-platform parity: users on Linux see the same CMake option they see locally. Honest documentation in doc/architecture/compile-time.md notes that the Apple-clang-local benefit is currently 0 %. Tests RUN ~15× slower under `-O0` (1.5 s → 23 s for 236 tests); acceptable for CI "did anything break" loops, NOT acceptable for benchmark workloads. #5 — Move detail:: impls to .inl files ⏸ deferred ─────────────────────────────────────────────────── Pure enabler for #7. Without #7 landing, the .inl extraction would just add an extra hop to header reading. Reconsider once a concrete maintenance reason emerges (e.g. a downstream user wants to override a detail helper). #7 — Pimpl on newton_solver + priority_BFS ⏸ deferred ─────────────────────────────────────────────────────── Honest assessment: Newton_solver is template-on-Functional, so a faithful Pimpl would require either type erasure or a virtual-method interface across the five solver instantiations. Estimated 1-2 weeks of refactor with measurable API-surface risk. PCH already absorbs the SimplicialLDLT + SparseQR template parse cost, so the remaining delta is small. Deferred until a concrete user reports compile-time pain from these specific templates. Documentation ───────────── README.md gains a "Compile-time workflow modes" section with all six opt-in switches (BUILD_TESTING, HEADERS_CHECK, DEV_BUILD, FAST_TEST_BUILD, USE_PCH, USE_CCACHE) as ready-to-paste command lines. doc/architecture/compile-time.md gains: * an "Architecture-touch quick-wins" section with the four-row status table (5 deferred / 6 shipped / 7 deferred / 10 shipped) * the FAST_TEST_BUILD row added to the workflow-modes table * the mode-matrix table updated with Linux-vs-macOS expected values * an honest "variance" note explaining the ±5 s spread between repeated cold builds and why #6's net effect lands in that noise Verified: default build 55 s (within usual variance), 236/236 tests pass under default; FAST_TEST_BUILD=ON build 52 s, 236/236 PASS. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
176 lines
9.2 KiB
Markdown
176 lines
9.2 KiB
Markdown
# conformallab++
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[](https://git.eulernest.eu/conformallab/ConformalLabpp/actions)
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[](LICENSE)
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[](https://depositonce.tu-berlin.de/items/8e2988b2-d991-45b5-aad5-9fb7988f3b2f)
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[](https://tmoussa.codeberg.page/ConformalLabpp/)
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C++17 reimplementation of [ConformalLab](https://github.com/varylab/conformallab) —
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Stefan Sechelmann's Java research library for discrete conformal geometry (TU Berlin).
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The long-term goal is a **CGAL package** for discrete conformal maps.
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Algorithmic foundation:
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> Stefan Sechelmann — *Variational Methods for Discrete Surface Parameterization: Applications and Implementation*, TU Berlin 2016.
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> DOI: [10.14279/depositonce-5415](https://depositonce.tu-berlin.de/items/8e2988b2-d991-45b5-aad5-9fb7988f3b2f) · CC BY-SA 4.0 ·
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> [Java original](https://github.com/varylab/conformallab) · [sechel.de](https://sechel.de/)
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**Status:** v0.9.0 — Phases 1–9a complete, Phase 8b-Lite CGAL API surface. Newton solvers for **five** DCE models (Euclidean / Spherical / HyperIdeal / CP-Euclidean / Inversive-Distance), priority-BFS layout in ℝ²/S²/Poincaré disk, Gauss–Bonnet, tree-cotree cut graph, Möbius holonomy, period matrix (genus 1), fundamental domain, halfedge_uv texture atlas, JSON/XML serialisation, CLI app. Full test suite passing, 0 skipped — see [`doc/api/tests.md`](doc/api/tests.md) for the per-suite breakdown.
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---
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## Quick start
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```bash
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git clone https://codeberg.org/TMoussa/ConformalLabpp && cd ConformalLabpp
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# Fast tests — no system dependencies
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cmake -S code -B build && cmake --build build --target conformallab_tests -j$(nproc)
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ctest --test-dir build --output-on-failure
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# CGAL tests headless (apt install libboost-dev / brew install boost)
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cmake -S code -B build -DWITH_CGAL_TESTS=ON
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cmake --build build --target conformallab_cgal_tests -j$(nproc)
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ctest --test-dir build -R "^cgal\." --output-on-failure
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# Full build with CLI + viewer (requires Wayland/X11 dev headers)
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cmake -S code -B build -DWITH_CGAL=ON && cmake --build build -j$(nproc)
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./bin/conformallab_core -i input.off -g euclidean -o layout.off -j result.json
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# API documentation (requires doxygen: brew/apt install doxygen)
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cmake --build build --target doc
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open doc/doxygen/html/index.html
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```
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### Compile-time workflow modes
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The default build (PCH + Unity Build + Dense→Core trims) takes ~47 s
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clean for the full CGAL test target. Five opt-in modes cover other
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iteration scenarios:
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```bash
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# Configure-only, no compile. ~1 s configure, 0 s build — emits
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# compile_commands.json for IDE / clangd; skips the GTest fetch.
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cmake -S code -B build -DBUILD_TESTING=OFF
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# Header smoke check: per-public-header isolated compile. ~12 s full,
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# ~0.1 s after touching one header. "Does my refactor still parse?"
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cmake -S code -B build -DBUILD_TESTING=OFF -DCONFORMALLAB_HEADERS_CHECK=ON
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cmake --build build --target headers_check
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# Dev iteration: PCH on, Unity off. Slower full build (~75 s) but
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# editing a single test rebuilds in ~16 s instead of ~46 s.
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cmake -S code -B build -DWITH_CGAL_TESTS=ON -DCONFORMALLAB_DEV_BUILD=ON
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# Fast CI tests: -O0 -g for the test executables only (library /
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# install targets keep -O3). Linux + g++ typically ~40 % faster
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# build at the cost of 5–15× slower test RUN. Neutral on macOS.
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cmake -S code -B build -DWITH_CGAL_TESTS=ON -DCONFORMALLAB_FAST_TEST_BUILD=ON
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# Pristine measurement: disable both performance levers, e.g. for
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# scripts/quality/coverage.sh that needs every TU compiled fresh.
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cmake -S code -B build -DWITH_CGAL_TESTS=ON \
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-DCONFORMALLAB_USE_PCH=OFF -DCMAKE_UNITY_BUILD=OFF
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```
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ccache is detected automatically when present on `PATH`; disable with
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`-DCONFORMALLAB_USE_CCACHE=OFF`. Full mode matrix + measurements in
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[`doc/architecture/compile-time.md`](doc/architecture/compile-time.md).
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---
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## Minimal usage
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```cpp
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#include "conformal_mesh.hpp"
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#include "mesh_io.hpp"
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#include "euclidean_functional.hpp"
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#include "gauss_bonnet.hpp"
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#include "newton_solver.hpp"
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#include "layout.hpp"
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using namespace conformallab;
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ConformalMesh mesh = load_mesh("input.off");
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EuclideanMaps maps = setup_euclidean_maps(mesh);
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compute_euclidean_lambda0_from_mesh(mesh, maps);
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// Assign DOFs — pin first vertex (gauge fix)
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auto vit = mesh.vertices().begin();
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maps.v_idx[*vit++] = -1;
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int idx = 0;
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for (; vit != mesh.vertices().end(); ++vit) maps.v_idx[*vit] = idx++;
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// Natural equilibrium target: x* = 0 by construction
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std::vector<double> x0(idx, 0.0);
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auto G0 = euclidean_gradient(mesh, x0, maps);
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for (auto v : mesh.vertices())
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if (maps.v_idx[v] >= 0) maps.theta_v[v] -= G0[maps.v_idx[v]];
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check_gauss_bonnet(mesh, maps);
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NewtonResult res = newton_euclidean(mesh, x0, maps);
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Layout2D layout = euclidean_layout(mesh, res.x, maps);
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```
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---
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## Documentation
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| **API reference (Doxygen HTML)** — every public class, function and named-parameter helper | https://tmoussa.codeberg.page/ConformalLabpp/ |
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| **Getting started** — build modes, single-test invocation, CLI, Docker | [doc/getting-started.md](doc/getting-started.md) |
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| **Pipeline API** — all three geometries, holonomy, serialisation | [doc/api/pipeline.md](doc/api/pipeline.md) |
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| **Public headers** — all public headers with descriptions | [doc/api/headers.md](doc/api/headers.md) |
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| **Test suites** — per-suite breakdown and counts (single source of truth) | [doc/api/tests.md](doc/api/tests.md) |
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| **Extending** — new functionals, geometry modes, porting from Java | [doc/api/extending.md](doc/api/extending.md) |
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| **Processing unit contracts** — preconditions / provides table | [doc/api/contracts.md](doc/api/contracts.md) |
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| **CGAL package design** — Phase 8 target, YAML pipeline | [doc/api/cgal-package.md](doc/api/cgal-package.md) |
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| **Architecture & pipeline diagram** | [doc/architecture/overall_pipeline.md](doc/architecture/overall_pipeline.md) |
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| **geometry-central comparison** — shared core, demarcation, adoption candidates, scientific added value | [doc/architecture/geometry-central-comparison.md](doc/architecture/geometry-central-comparison.md) |
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| **Design decisions** — key architectural choices + rationale | [doc/architecture/design-decisions.md](doc/architecture/design-decisions.md) |
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| **Project structure** — directory tree + build targets | [doc/architecture/project-structure.md](doc/architecture/project-structure.md) |
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| **Discrete conformal theory** — mathematical background for collaborators | [doc/math/discrete-conformal-theory.md](doc/math/discrete-conformal-theory.md) |
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| **Validation** — known analytic results + how to verify them | [doc/math/validation.md](doc/math/validation.md) |
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| **Validation protocol** — concrete commands with expected outputs | [doc/math/validation-protocol.md](doc/math/validation-protocol.md) |
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| **Tutorial: add a new functional** — step-by-step Inversive-Distance port | [doc/tutorials/add-inversive-distance.md](doc/tutorials/add-inversive-distance.md) |
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| **Declarative YAML pipeline** — concept, token vocabulary, 5 examples | [doc/concepts/declarative-pipeline.md](doc/concepts/declarative-pipeline.md) |
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| **Geometry modes** — Euclidean / Spherical / HyperIdeal comparison | [doc/math/geometry-modes.md](doc/math/geometry-modes.md) |
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| **References** — all papers by module | [doc/math/references.md](doc/math/references.md) |
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| **Software landscape** — how conformallab++ relates to libigl, CGAL, geometry-central | [doc/math/software-landscape.md](doc/math/software-landscape.md) |
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| **Novelty statement** — unique features, target audience, what this is not | [doc/math/novelty-statement.md](doc/math/novelty-statement.md) |
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| **Complexity & scalability** — O() analysis, measured timings on real meshes, HyperIdeal bottleneck | [doc/math/complexity.md](doc/math/complexity.md) |
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| **Roadmap** — Phases 1–10 | [doc/roadmap/phases.md](doc/roadmap/phases.md) |
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| **Java parity table** — what is ported, what is planned | [doc/roadmap/java-parity.md](doc/roadmap/java-parity.md) |
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| **Contributing** — language policy, test standards, release flow | [doc/contributing.md](doc/contributing.md) |
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| **Claude Code context** | [CLAUDE.md](CLAUDE.md) |
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---
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## Citing
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If you use conformallab++ in your research, please cite it using the metadata
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in [`CITATION.cff`](CITATION.cff). GitHub and Codeberg show a "Cite this repository"
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button that generates BibTeX and APA automatically.
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The primary algorithmic source is:
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> Stefan Sechelmann — *Variational Methods for Discrete Surface Parameterization:
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> Applications and Implementation*, TU Berlin 2016.
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> DOI: [10.14279/depositonce-5415](https://depositonce.tu-berlin.de/items/8e2988b2-d991-45b5-aad5-9fb7988f3b2f)
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---
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## Bugs & questions
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- **Bug reports / feature requests:** [Gitea Issues](https://git.eulernest.eu/conformallab/ConformalLabpp/issues)
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- **Code mirror (read-only):** [Codeberg](https://codeberg.org/TMoussa/ConformalLabpp)
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- **Contact:** Tarik Moussa · Tarik.moussa95@gmail.com
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---
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## License
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conformallab++ is released under the MIT License (see [LICENSE](LICENSE)).
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Copyright © 2024–2026 Tarik Moussa.
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The dissertation (Sechelmann 2016) is CC BY-SA 4.0.
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