Comments (4)
Hey @pkofod, we're in the middle of some big changes, and Pkg.update probably won't get them. I think that
Pkg.clone("https://github.com/JuliaSmoothOptimizers/NLPModels.jl")
Pkg.checkout("NLPModels", "develop")
Pkg.clone("https://github.com/JuliaSmoothOptimizers/CUTEst.jl")
Pkg.checkout("CUTEst", "develop")
Pkg.build("CUTEst")
can give you a working version, after you fix the dependence problems.
By the way, I've had the same problems with MathProgBase and JuMP before. I think that Pkg.free("MathProgBase") or something in this line fixed it for me.
from cutest.jl.
All seems to be working now. I ended up simple deleting all package files and started from scratch, adding one package at a time. So I should clone from JuliaSmoothOptimizers from now on? edit oh, you renamed it . Then I think there is no more to add to this discussion.
from cutest.jl.
Yes, we just changed the name. Will release soon(ish) too.
from cutest.jl.
Good to see this getting attention, I really think it's going to improve our understanding of the performance of Optim.
from cutest.jl.
Related Issues (20)
- ERROR: ArgumentError: NULL library handle HOT 15
- Issue with -lSystem HOT 3
- `jac_coord!` memory allocation HOT 2
- Try syntax `CUTEstModel("...") do nlp` to allow automatic closing of nlp
- Check eval counters against those from CUTEst
- Unit test fails for HS14
- Improve `lin_cons` computation
- Use `increment!` and `decrement!` functions HOT 3
- change license to MIT?
- Mislcassified problems HOT 4
- Remove allocations in CUTEst.jl
- Fix the documentation
- gfortran error HOT 10
- KeyError: key "MASTSIF" not found HOT 7
- How to specify the size of the test problem? HOT 2
- NLPModels computes gradient with elements out of order HOT 9
- jth_hess_coord! seems not implemented HOT 1
- CUTEst.jl and AutoDiff -- compute high-order derivatives HOT 10
- Function "NONCVXUN" HOT 5
- Make the package loadable in Windows even though it is not usable HOT 1
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from cutest.jl.