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DecisionProgramming.jl
DecisionProgramming.jl is a Julia package for solving multi-stage decision problems under uncertainty, modeled using influence diagrams. Internally, it relies on mathematical optimization. Decision models can be embedded within other optimization models.optimisation-notes
Lecture notes for Linear and Nonlinear optimisation.ShelfSpaceAllocation.jl
ShelfSpaceAllocation.jl is a Julia package for solving the retail shelf space allocation problem. Internally, it relies on mathematical optimization, where the model is a mixed-integer linear program.EnergySystemModeling.jl
Transmission capacity expansion model implemented as linear optimization model in Julia using JuMP.pyDecisionProgramming
Python interface for DecisionProgramming.jlWOI_UFSCar2023
Short course on opt under uncertainty @ UFSCar 2023p-Lagrangian_relaxation.jl
The package contains the implementation of the p-Lagrangian relaxation technique which is a part of the paper "The p-Lagrangian relaxation for nonconvex MIQCQP problems with complicating constraints"decomposition-short-course
Material for a decomposition short course I teach sometimesMESSO
Modeling Energy Systems using SpineOptTSEP_illustrative_example
The transmission system expansion project application to study illustrative three-nodes energy systembook-club
We store the materials from past book clubsOptimalDecisionTrees.jl
p-BnB
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