Oscar Dowson

Results 198 issues of Oscar Dowson

x-ref https://github.com/jump-dev/MathOptInterface.jl/issues/2533

See https://github.com/jump-dev/PiecewiseLinearOpt.jl/pull/40 I think there is a lot of scope to more-or-less rewrite the entire package in "modern" Julia. I would want to keep the public API, `z = piecewiselinear(m,...

help wanted

Take II of #3441 x-ref #3438 TODOs - [x] Add documentation to extension - [x] Rework existing tutorials to leverage new syntax See https://jump.dev/JuMP.jl/previews/PR3821/extensions/DataFrames/

Status: Needs developer call

There's an issue somewhere with how we initialize the sub solver. See https://github.com/jump-dev/Convex.jl/issues/706 The MWE of @CaG21 is: ```julia using Convex, Juniper, ECOS const MOI = Convex.MOI w = [23;...

One thing that would be useful is an option like https://www.gurobi.com/documentation/current/refman/infunbdinfo.html, which would force HiGHS to return a primal or dual unbounded ray. Currently, if `presolve` is on, `Highs_getDualRay` can...

enhancement
BE-JuMP

Preview: https://sddp.dev/previews/PR795/tutorial/inventory/

@songmath-thunderain and @murwansiddig have this paper: https://www.sciencedirect.com/science/article/abs/pii/S0377221724007574 They've helpfully provided the code: https://github.com/songmath-thunderain/msp_models_for_adaptive_disaster_relief_logistics_planning They don't formulate it as such, but it's a nice example of a non-classical policy graph: So...

This has come up quite a few times, so I think we need this. I don't know what the right API is. Perhaps: ```julia MOI.Nonlinear.gradient(f) :: Dict{MOI.VariableIndex,MOI.ScalarNonlinearFunction} ``` The use...

Type: Enhancement
Project: next-gen nonlinear support
Submodule: Nonlinear