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These are a few thoughts I put in a text file, probably on paper before.
Differentiating the discrete: Automatic Differentiation meets Integer Optimization
What can automated gradient computations bring to mathematical optimizers, what does it take to compute?
Last updated on
2022-10-04
11 min read
Working with binary libraries for optimization in Julia
When going native is the only option, at least do it once and well.
Last updated on
2019-11-07
8 min read
Questions and answers from 4th graders
Last updated on
2019-10-22
5 min read
Lessons learned on object constructors
Constructors are a basic building block of object-oriented programming (OOP). They expose ways to build specific types of objects …
Last updated on
2019-10-01
8 min read
Bridges as an extended dispatch system
Compiling mathematical optimization problems in a multiple-dispatch context.
Last updated on
2019-10-10
10 min read
Leveraging special graph shapes in LightGraphs
In a previous post, we pushed the boundaries of the LightGraphs.jl abstraction to see how conforming the algorithms are to the declared …
Last updated on
2021-12-12
4 min read
Vertex removal in LightGraphs
In various graph-related algorithms, a graph is modified through successive operations, merging, creating and deleting vertices. …
Last updated on
2020-01-06
6 min read
A take on Benders decomposition in JuMP
Cracking Benders decomposition, one cut at a time.
Last updated on
2019-09-09
7 min read
Variables are not values: types and expressions in mathematical optimization
Some digging in representations for optimization modelling
Last updated on
2019-05-09
10 min read
Picking different names with integer optimization
Making social events easier as a graph problem.
Last updated on
2019-05-08
4 min read
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