Comments (5)
I agree we need to trim this down. I think only the Julia interface should use NLPModel
s, and it should build on the core interface. That would also help coverage a lot. I propose to only keep inplace versions of the core interface functions. That should make the code much more manageable. What do you think?
from cutest.jl.
The core interface is already only inplace, though we don't use !
on the names.
Not using nlp
on both is a valid option too. Let me work on this a little.
from cutest.jl.
On the Cint
front. The core interface only accepts Array{Cint}
because of ccall
. The specialized interface has two options:
- Only accept
Array{Cint}
. The user has to comply to make it work. - Only accept
Array{Int}
. We would have to make a conversion using a temporary vector ofCint
s.
from cutest.jl.
Let's only use Cint
and have the thinnest interface possible. I doubt anyone who wants to use Julia will want to call the core interface directly.
from cutest.jl.
Closed by #90
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 HOT 2
- 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 2
- 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 2
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