fminslp
JuMP.jl
fminslp | JuMP.jl | |
---|---|---|
2 | 3 | |
4 | 2,137 | |
- | 0.8% | |
0.0 | 9.3 | |
almost 4 years ago | 5 days ago | |
MATLAB | Julia | |
- | GNU General Public License v3.0 or later |
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fminslp
- Solver for nonlinear MPC
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Mma Algorithm And Constraints Approximation
You can get some inspiration here. It is an SLP optimizer, wrapped around a convergence filter combined with an adaptive move limit scheme. You could in theory replace the linear optimizer with your mma version, and utilize the rest of the framework (convergence filter + adaptive move limits) I also handle constraints in a similar fashion as mma, so you should be able to see some similarities 😉
JuMP.jl
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Optimization
JuMP.jl is my personal go-to when solving "big" optimization problems in Julia (maybe it's overkill for your application).
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Multiple dispatch: Common Lisp vs Julia
A 100+ contributor project
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Julia macros
Macros are very useful if you want to create Domain Specific Languages (DSLs), see https://github.com/jump-dev/JuMP.jl or if you want to transpile a subset of Julia to another language or say GPU code.
What are some alternatives?
Catalyst.jl - Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
ComponentArrays.jl - Arrays with arbitrarily nested named components.
NumericalAlgorithms.jl - [DEPRECATED] Statistics & Numerical algorithms implemented in Julia.
OMLT - Represent trained machine learning models as Pyomo optimization formulations
MuladdMacro.jl - This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem
ConstructiveGeometry.jl - Algorithms and syntax for building CSG objects within Julia.
ParameterizedFunctions.jl - A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
LaTeXDatax.jl - Julia plugin for the datax LaTeX package
Coluna.jl - Branch-and-Price-and-Cut in Julia
AbstractDifferentiation.jl - An abstract interface for automatic differentiation.
Optimization-Python - General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python