GeoStatsBase.jl
nlopt
| GeoStatsBase.jl | nlopt | |
|---|---|---|
| 1 | 2 | |
| 27 | 1,757 | |
| - | - | |
| 8.8 | 6.9 | |
| about 1 month ago | 2 months ago | |
| Julia | C | |
| MIT License | GNU General Public License v3.0 or later |
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GeoStatsBase.jl
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?
Meshes.jl - Computational geometry and meshing algorithms in Julia
PointPatterns.jl - Point patterns for the GeoStats.jl framework
Rotations.jl - Julia implementations for different rotation parameterizations
Hybrid-Fortran - Accelerate with CUDA, OpenACC and OpenMP - Unified and Performance Portable
ProtoStructs.jl - Easy prototyping of structs
GeoStats.jl - An extensible framework for geospatial data science and geostatistical modeling fully written in 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.