Bridges as an extended dispatch system

Compiling mathematical optimization problems in a multiple-dispatch context.

A take on Benders decomposition in JuMP

Cracking Benders decomposition, one cut at a time.

Variables are not values: types and expressions in mathematical optimization

Some digging in representations for optimization modelling

Picking different names with integer optimization

Making social events easier as a graph problem.

Multiple dispatch - an example for mathematical optimizers

Leveraging one of Julia central features for clearer formulation of an optimization problem.

A Bilevel Framework for Optimal Price-Setting of Time-and-Level-of-Use Tariffs

Formulating the TLOU price-setting as a bilevel optimization problem

The cutting stock problem: part 2, solving with column generation

A column generation algorithm for the cutting width problem using Julia and JuMP

Tackling the cutting stock problem: part 1, problem exploration

Solving a cutting stock problem step by step using Julia and JuMP

DifferentialEquations.jl - part 2: decision from the model

Now that we've built a model, let's use it to make the best decision