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Optimization.jl Alternatives
Similar projects and alternatives to Optimization.jl
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Nim
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
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diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
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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.
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avm
Efficient and expressive arrayed vector math library with multi-threading and CUDA support in Common Lisp.
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SciPyDiffEq.jl
Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization
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Optimization.jl discussion
Optimization.jl reviews and mentions
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SciPy: Interested in adopting PRIMA, but little appetite for more Fortran code
Interesting response. I develop the Julia SciML organization https://sciml.ai/ and we'd be more than happy to work with you to get wrappers for PRIMA into Optimization.jl's general interface (https://docs.sciml.ai/Optimization/stable/). Please get in touch and we can figure out how to set this all up. I personally would be curious to try this out and do some benchmarks against nlopt methods.
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Help me to choose an optimization framework for my problem
There are also Optimization and Nonconvex , which seem like umbrella packages and I am not sure what methods to use inside these packages. Any help on these?
- The Julia language has a number of correctness flaws
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SciML/Optimization.jl is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Optimization.jl is Julia.