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We are having some difficulties solving two coupled multi-variate non-linear PDEs using Gridap.
We have two PDEs that we need to solve together in increments for the vector field `uh` and the scala…
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**Describe the bug 🐞**
Attempting to solve a nonlinear system of PDEs. Successful through discretization but error encountered when solving. I was told this is an unusual error.
**Expected behav…
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@AlCap23 In the docs and tutorials, could you give an example of PDE discoveries as in https://royalsocietypublishing.org/doi/10.1098/rspa.2020.0279 to demonstrate the versatility of DataDrivenDiffEq…
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I'm just initial getting this setup to solve PDEs and ran into an issue in the Tutorial. See the picture below. I looks like the NumPy logic statement being used is incorrect for the current version o…
mezog updated
1 month ago
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@paraklas @sifanw094
Thank you for sharing this magnificent source code of your research paper. I have read your paper (but not in sufficient depth), and this question happens to me: is it possible …
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Hello, I was wondering if the code currently supports solving a BVP of the form $L(u) = v,$ where $L$ is some differential operator, $u(x,y), v(x,y) \in \mathbb{R}^2$ and $x$ and $y$ are scalar coordi…
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https://advances.sciencemag.org/content/advances/suppl/2017/04/24/3.4.e1602614.DC1/1602614_SM.pdf
All the elementary functions being in place, this is a natural extension of DataDrivenDiffEq
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https://arxiv.org/abs/1806.02957
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Hi I am trying to solve the following set of PDEs:
I have implemented the reaction term:
function reactionLi!(f,u,node)
f[ξₙ] = -Lₙ*dh_dξ(u[ξₙ])*((exp((1-α)*ne*F*u[ϕₙ]/R/T)) - u[ζₙ]*(…