-
```
f(x) = x^2
u0 = 1
probN = NonlinearProblem(f, u0, p)
solver = solve(probN, NewtonRaphson())
```
Results in the warning:
```
Warning: Backwards compatability support of the new return co…
-
It seems that (parts of) the library won't work with 1D CUDA arrays, but with higher dimensional arrays it does.
```Julia
using NonlinearSolve, CUDA
CUDA.allowscalar(false)
f(u,p) = u .* u .-…
-
when running forcebalance optimization example in tutorial04, forcebalance raises the following error after the gradients are computed in forcebalance and reported back to forcebalance:
```python
…
-
**Description**
I'm trying to create a fresh conda env and run bespokenfit
The env is created with the command
`mamba create -n bespokefit -c conda-forge -c openeye openff-bespokefit openeye-t…
-
Looks like it's due to https://github.com/SciML/NonlinearSolve.jl/issues/121 and #127
With version 1.1.1
```
@time_imports using NonlinearSolve
```
gives
> 142.4 ms NonlinearSolve
while wi…
-
```julia
using NonlinearSolve
function f!(F, x, _)
F[1] = (x[1] + 3) * (x[2]^3 - 7) + 18
F[2] = sin(x[2] * exp(x[1]) - 1)
nothing
end
x0 = [0.1; 1.2]
prob! = NonlinearProblem…
-
It's just the implicit function theorem
https://github.com/mitmath/18335/blob/spring20/notes/adjoint/adjoint.pdf
While there is a generic one for SteadyStateProblem in DiffEqSensitivity (that c…
-
Hi there, thanks for your work on these packages. I had originally submitted an issue on the DiffEqOperators package and was suggested to try out MethodOfLines instead (https://github.com/SciML/DiffE…
-
I use the following steps:
1. generate libBehaviour.so
mfront --interface=generic /usr/local/share/doc/mfront/tests/behaviours/LogarithmicStrainPlasticity2.mfront
mfront --obuild
2. python3 m…
-
Hi,
I am running forcebalance-1.9.4 on a small test molecule and it fails with a TypeError. Any suggestions to fix this would be really helpful.
Error message (optimize.err):
```
Warning: im…