Optimization.jl seeks to bring together a variety of optimization packages, local and global, into one unified Julia interface. This enables a user to learn one package, and be able to use all the packages. Optimization.jl adds a few high-level features, such as integrating with automatic differentiation, to make its usage fairly simple for most cases, while allowing all the options in a single unified interface
EspyInsideFunction allows to write software in the Julia programming language Julia (2017) [1] to ma...
In this thesis, we use CasADi to implement a new optimization algorithm in the open-source platform ...
MLJ.jl aims to be a flexible framework for combining and tuning machine learning models, written in ...
Optim provides a range of optimization capabilities written in the Julia programming language (Bezan...
We describe how to utilize the possibility of differentiating through arbitrary Julia codeto perform...
Metaheuristics is a Julia package that implements metaheuristic algorithms for solving global optimi...
In this paper we present BilevelJuMP, a new Julia package to support bilevel optimization within the...
Packages to encode Machine Learned models into optimization problems is an underdeveloped area, desp...
Journées "Julia et Optimisation" 2023International audienceSlides : https://control-toolbox.org/Opti...
R users can often solve optimization tasks easily using the tools in the optim function in the stats...
D.2.5 [Software Engineering] Testing and Debugging — Debugging aids, design, testing tools, theory; ...
We introduce DiffOpt.jl, a Julia library to differentiate through the solution of optimization probl...
SimpleSolvers v0.2.1 Diff since v0.2.0 Merged pull requests: Implement nonlinear optimization algor...
Abstract. JuMP is an open-source modeling language that allows users to express a wide range of opti...
DCISolver v0.4.1 Diff since v0.4.0 Merged pull requests: Up hsl for real (#125) (@tmigot) Version 0...
EspyInsideFunction allows to write software in the Julia programming language Julia (2017) [1] to ma...
In this thesis, we use CasADi to implement a new optimization algorithm in the open-source platform ...
MLJ.jl aims to be a flexible framework for combining and tuning machine learning models, written in ...
Optim provides a range of optimization capabilities written in the Julia programming language (Bezan...
We describe how to utilize the possibility of differentiating through arbitrary Julia codeto perform...
Metaheuristics is a Julia package that implements metaheuristic algorithms for solving global optimi...
In this paper we present BilevelJuMP, a new Julia package to support bilevel optimization within the...
Packages to encode Machine Learned models into optimization problems is an underdeveloped area, desp...
Journées "Julia et Optimisation" 2023International audienceSlides : https://control-toolbox.org/Opti...
R users can often solve optimization tasks easily using the tools in the optim function in the stats...
D.2.5 [Software Engineering] Testing and Debugging — Debugging aids, design, testing tools, theory; ...
We introduce DiffOpt.jl, a Julia library to differentiate through the solution of optimization probl...
SimpleSolvers v0.2.1 Diff since v0.2.0 Merged pull requests: Implement nonlinear optimization algor...
Abstract. JuMP is an open-source modeling language that allows users to express a wide range of opti...
DCISolver v0.4.1 Diff since v0.4.0 Merged pull requests: Up hsl for real (#125) (@tmigot) Version 0...
EspyInsideFunction allows to write software in the Julia programming language Julia (2017) [1] to ma...
In this thesis, we use CasADi to implement a new optimization algorithm in the open-source platform ...
MLJ.jl aims to be a flexible framework for combining and tuning machine learning models, written in ...