Meshes.jl
nlopt
| Meshes.jl | nlopt | |
|---|---|---|
| 2 | 2 | |
| 359 | 1,745 | |
| 1.9% | - | |
| 9.3 | 6.9 | |
| 7 days ago | about 2 months ago | |
| Julia | C | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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Meshes.jl
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Geospatial Data Science with Julia
So in other Julia geometry-related projects that may be true, but for this particular corner of the ecosystem the main author (Júlio Hoffimann) has actually implemented much of the underlyin code from scratch (to the best of my understanding) in pure Julia in a whole set of packages, including
https://github.com/JuliaGeometry/Meshes.jl
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How to Pull Vertices and Faces from an OBJ file
Importing meshes in Julia is a little funky right now. When using MeshIO you get a mesh type from GeometryBasics.jl, but the best package for doing mesh things is Meshes.jl, so I advise to use this little package MeshBridge.jl to convert to a Meshes type. Then you can just do
nlopt
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Geospatial Data Science with Julia
Is this what you mean by nlopt? https://github.com/stevengj/nlopt
If so, it looks like you're interfacing from R to high-performing code written in C. Isn't that exactly what OP was describing?
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Optimization Without Derivatives: Prima Fortran Version and Inclusion in SciPy
Extraction from https://github.com/libprima/prima
“There do exist "translations" of Powell's Fortran 77 code into other languages. For example, NLopt contains a C version of COBYLA, NEWUOA, and BOBYQA, but the C code in NLopt is translated from the Fortran 77 code straightforwardly, if not automatically by f2c, and hence inherits the style, structure, and probably bugs of the original Fortran 77 implementation.”
See also https://github.com/stevengj/nlopt/issues/501 , where the author of NLopt talks.
What are some alternatives?
PointPatterns.jl - Point patterns for the GeoStats.jl framework
GeoStatsBase.jl - Base package for the GeoStats.jl framework
Hybrid-Fortran - Accelerate with CUDA, OpenACC and OpenMP - Unified and Performance Portable
MeshViz.jl - Makie.jl recipes for visualization of Meshes.jl
Rotations.jl - Julia implementations for different rotation parameterizations
ConstructiveGeometry.jl - Algorithms and syntax for building CSG objects within Julia.
prima - PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
MeshBridge.jl
mystic - constrained nonlinear optimization for scientific machine learning, UQ, and AI