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We are now at the stage where it might be useful to add some standard "full" battery models from the literature with exactly the degradation models (model options) and parameter set used in that model…
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Issue 1:
Currently we need to write:
```julia
using ModelingToolkit, NonlinearSolve
@variables x, y
@parameters θ
eqs = [ 0.0 ~ 2.0x - 15.2, 0.0 ~ x + y - 5.2,]
ns = NonlinearSystem(eqs…
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Tearing is a method for re-arranging a nonlinear solver system to exploit sparsity and decrease the computational cost of solving nonlinear systems f(x)=0. It would be nice to implement this as a tran…
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Hello, I was able to create a script for an uniaxial tension test with a fixed constraint on the opposite side (bottom) and a fixed load of 100 N in the y direction in top. My problem is that the maxi…
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Is it possible to solve a difference equation with this package?
Difference equations are mentioned in the documentation and README, so it seems this is possible, but it's not clear how I can do th…
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**Submitting author:** @antoinediez (Antoine Diez)
**Repository:** https://github.com/antoinediez/Sisyphe
**Version:** v0.1.5
**Editor:** @pdebuyl
**Reviewers:** @lorenzo-rovigatti, @junghans
**Manag…
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Hi,
Thanks for sharing this code.
I have two questions.
First, I used specfem3d_cartesian to do waveform modeling and kernel (K) computation. The density (rho) kernels used in th…
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Thanks for the nice package!
My question is whether it is possible to make it work with `NLsolve` so as to get uncertainties of the roots of nonlinear equations.
For instance, taking the following…
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Automatic differentiation example is currently included in Step-33. This is slightly harder to access because
1. Euler laws of gas dynamics are generally a more specialised problem to CFD (and not…
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I think the docs should have these sections:
1. Neural networks can be defined where the "activations" are nonlinear functions described by differential equations
2. Neural networks can be defined…