Oscar Dowson

> What is stopping @expression(model, y, f(x)) from adopting the common-subexpression behavior you're describing? Yes, it's a breaking change. We discussed this on the monthly developer call. @mlubin is in...

_Some related discussion from https://github.com/jump-dev/MathOptInterface.jl/issues/2488:_ Some possible options: 1. Create a single unified expression graph (as opposed to the current expression tree). Change quite a lot of how ReverseAD processes...

Closing this for a few reasons: * No one has reported similar concerns in > 2 years * Introducing `CrazyDict` is going to lead to more complexity * There are...

This came up again in https://github.com/jump-dev/JuMP.jl/issues/3729. We should investigate other approaches for having a "small dict" as the backing data structure in AffExpr for the common case of an affine...

See also some related discussion in https://github.com/PyPSA/linopy/issues/207

This is an upstream issue. ```Julia using Cbc_jll open("file.lp", "w") do io println( io, """ Minimize obj: - 2 x3 Subject To c1: x2 - x1

I renamed the issue because this affects more parameters than just `logLevel`. For example: https://github.com/jump-dev/Cbc.jl/issues/211.

I mean, CSDP is just unreliable: ```Julia julia> MOI.empty!(model) julia> MOI.Test.test_objective_ObjectiveFunction_blank(model, config) CSDP 6.2.0 This is a pure primal feasibility problem. Iter: 0 Ap: 0.00e+00 Pobj: 0.0000000e+00 Ad: 0.00e+00 Dobj:...

Because this is non-deterministic, we must be screwing up the C code somewhere with uninitialized memory. Why is the C interface so convoluted?

This syntax is not valid JuMP: ```Julia julia> model = Model() A JuMP Model Feasibility problem with: Variables: 0 Model mode: AUTOMATIC CachingOptimizer state: NO_OPTIMIZER Solver name: No optimizer attached....