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Remove empty docs
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vavrines committed Jan 10, 2024
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1 change: 1 addition & 0 deletions docs/make.jl
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Expand Up @@ -13,6 +13,7 @@ using Kinetic.KitBase: aap_hs_diffeq!
using Kinetic.KitBase: plot_line, plot_contour, write_jld
using Kinetic.KitML.Solaris
using Kinetic.KitML.Solaris: load_data, save_model
using Kinetic.KitBase.FiniteMesh
using Kinetic.KitBase.FiniteMesh: read_mesh, mesh_connectivity_2D, mesh_cell_center, mesh_cell_area_2D

tutorial_page = [
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2 changes: 0 additions & 2 deletions docs/src/kitml1.md
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Expand Up @@ -50,9 +50,7 @@ It is important for entropy-based modelling, since the minimization principle wo

```@docs
Convex
ICNN
FastConvex
FastICNN
```
Besides, we also provide scientific machine learning training interfaces and I/O methods.
They are consistent with both [Flux.jl](https://github.com/FluxML/Flux.jl) and [DiffEqFlux.jl](https://github.com/SciML/DiffEqFlux.jl) ecosystem.
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2 changes: 1 addition & 1 deletion docs/src/para_cuda.md
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Expand Up @@ -5,7 +5,7 @@ Kinetic enables computation on the graphical architecture on the basis of [CUDA.
It provides the main programming interface for working with NVIDIA CUDA GPUs.
It features a user-friendly array abstraction, a compiler for writing CUDA kernels in Julia, and wrappers for various CUDA libraries.
In the following, we present an illustrative test of kinetic flux vector splitting method to evaluate upwind flux of the Boltzmann equation.
The test is conducted on a Tesla K80 GPU on [nextjournal.com](nextjournal.com).
The test is conducted on a Tesla K80 GPU on [nextjournal.com](https://nextjournal.com).
We first load all the modules, and do a CPU-based computation.

```julia
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2 changes: 0 additions & 2 deletions docs/src/solver_post.md
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Expand Up @@ -3,7 +3,5 @@
The post-process solver handles the simulation data and visualization.

```@docs
plot_line
plot_contour
write_jld
```

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