Main Takeaway: Application Driven Learning is a framework that is compatible with decision-focused learning. Registration for this years Virtual JuliaCon is available now (for free):

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Application Driven Learning is a framework that is compatible with decision-focused learning. Aimed at nonlinear optimization in Julia, we develop tools to help ...

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  • Application Driven Learning is a framework that is compatible with decision-focused learning.
  • Aimed at nonlinear optimization in Julia, we develop tools to help ...
  • Registration for this years Virtual JuliaCon is available now (for free):

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JuMP-dev 2020 | Guillaume Marques | Design and features of Coluna.jl
JuMP-dev 2019 | Joaquim Dias Garcia | ParameterJuMP.jl
ApplicationDrivenLearning.jl | Joaquim Dias Garcia | JuMP-dev 2025
MadIPM.jl | Alexis Montoison | JuMP-dev 2025
JuMP-dev 2019 | Jordan Jalving | Graph-Based Modeling and Optimization using Plasmo.jl
JuMP-dev 2019 | Juan Pablo Vielma | Introductory Tutorial on Julia and JuMP
JuMP-dev 2019 | Jose Daniel Lara | PowerSimulations.jl
JuMP-dev 2019 | Alessandro Soares | A Julia/JuMP based Integrated Energy Resource Planning Model
JuMP-dev 2018 | Developing new optimization methods with JuliaSmoothOptimizers | Abel Siqueira
JuMP-dev 2019 | Vitor Nesello | Coluna: An Open-Source Branch-Cut-and-Price Framework
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JuMP-dev 2020 | Guillaume Marques | Design and features of Coluna.jl

JuMP-dev 2020 | Guillaume Marques | Design and features of Coluna.jl

Read more details and related context about JuMP-dev 2020 | Guillaume Marques | Design and features of Coluna.jl.

JuMP-dev 2019 | Joaquim Dias Garcia | ParameterJuMP.jl

JuMP-dev 2019 | Joaquim Dias Garcia | ParameterJuMP.jl

Registration for this years Virtual JuliaCon is available now (for free):

ApplicationDrivenLearning.jl | Joaquim Dias Garcia | JuMP-dev 2025

ApplicationDrivenLearning.jl | Joaquim Dias Garcia | JuMP-dev 2025

Application Driven Learning is a framework that is compatible with decision-focused learning. These methodologies allow ...

MadIPM.jl | Alexis Montoison | JuMP-dev 2025

MadIPM.jl | Alexis Montoison | JuMP-dev 2025

Read more details and related context about MadIPM.jl | Alexis Montoison | JuMP-dev 2025.

JuMP-dev 2019 | Jordan Jalving | Graph-Based Modeling and Optimization using Plasmo.jl

JuMP-dev 2019 | Jordan Jalving | Graph-Based Modeling and Optimization using Plasmo.jl

Read more details and related context about JuMP-dev 2019 | Jordan Jalving | Graph-Based Modeling and Optimization using Plasmo.jl.

JuMP-dev 2019 | Juan Pablo Vielma | Introductory Tutorial on Julia and JuMP

JuMP-dev 2019 | Juan Pablo Vielma | Introductory Tutorial on Julia and JuMP

Registration for this years Virtual JuliaCon is available now (for free):

JuMP-dev 2019 | Jose Daniel Lara | PowerSimulations.jl

JuMP-dev 2019 | Jose Daniel Lara | PowerSimulations.jl

Read more details and related context about JuMP-dev 2019 | Jose Daniel Lara | PowerSimulations.jl.

JuMP-dev 2019 | Alessandro Soares | A Julia/JuMP based Integrated Energy Resource Planning Model

JuMP-dev 2019 | Alessandro Soares | A Julia/JuMP based Integrated Energy Resource Planning Model

Registration for this years Virtual JuliaCon is available now (for free):

JuMP-dev 2018 | Developing new optimization methods with JuliaSmoothOptimizers | Abel Siqueira

JuMP-dev 2018 | Developing new optimization methods with JuliaSmoothOptimizers | Abel Siqueira

We present the packages in JuliaSmoothOptimizers (JSO). Aimed at nonlinear optimization in Julia, we develop tools to help ...

JuMP-dev 2019 | Vitor Nesello | Coluna: An Open-Source Branch-Cut-and-Price Framework

JuMP-dev 2019 | Vitor Nesello | Coluna: An Open-Source Branch-Cut-and-Price Framework

Registration for this years Virtual JuliaCon is available now (for free):