-
[Physics Informed Neural Networks by NVIDIA](https://docs.nvidia.com/deeplearning/modulus/user_guide/theory/recommended_practices.html#physics-informed-neural-networks) ... more generally, [Physics-In…
-
```python
import fipy as fp
nx = 20
ny = nx
dx = 1
dy = dx
mesh = fp.Grid2D(dx=dx, dy=dy, nx=nx, ny=ny)
phi = fp.CellVariable(mesh=mesh, value=0.)
eq = fp.TransientTerm() == fp.DiffusionTe…
guyer updated
4 years ago
-
Lays the foundation for block preconditioning.
-
Hello,
Thanks for writing and sharing FastSphericalHarmonics. I am trying to use it to solve some PDEs on the sphere but have problems with the eth/ethbar operators for scalars. For example :
`…
-
Hi,
It is interesting to imitate PDEs using RNN for satellite classsification refinement. I have tested your code using my date set, which consists of 10000 256*256 satellite images. However, du…
-
#### Description
Summary:
Many printer drivers (particularly for those used in commercial settings) use Print Dialog Extensions to provide custom user interfaces.
In Mojave the PDEs aren't load…
-
Many graph and node-level problems are fundamentally about diffusion. Information **diffuses** from one node to another. In this way, solutions to these problems can be modeled after heat kernel, whic…
-
I requested this feature firstly [here in the Mailing list](https://groups.google.com/forum/#!topic/sympy/X3h38SqQBCo) and [this Reddit post](https://www.reddit.com/r/Python/comments/92cehq/using_symp…
-
I am moving this over here from the [Discourse](https://discourse.julialang.org/t/neuralpde-jl-how-to-use-random-noise-as-the-initial-condition/74723/3) as per Chris's request. A short summary is belo…
-
running Helmholtz rectangle PDE example on this page
https://github.com/JuliaApproximation/ApproxFunExamples/blob/master/PDEs/Rectangle%20PDEs.ipynb
```julia
d = (-1.0..1.0)^2
Δ = Laplacian(d…