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build(docs): bump the compat of QMC #772

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build(docs): bump the compat of QMC #772

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5397e9f
build(docs): bump the compat of QMC
sathvikbhagavan Nov 26, 2023
8675bcb
docs: add debugging for Documenter
sathvikbhagavan Nov 28, 2023
e72def0
docs: use BackTracking in BFGS for linear parabolic example
sathvikbhagavan Dec 11, 2023
7a73616
fixup! docs: use BackTracking in BFGS for linear parabolic example
sathvikbhagavan Jan 16, 2024
df96f3d
fixup! docs: use BackTracking in BFGS for linear parabolic example
sathvikbhagavan Jan 16, 2024
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3 changes: 2 additions & 1 deletion docs/Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@ DomainSets = "5b8099bc-c8ec-5219-889f-1d9e522a28bf"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
Integrals = "de52edbc-65ea-441a-8357-d3a637375a31"
IntegralsCubature = "c31f79ba-6e32-46d4-a52f-182a8ac42a54"
LineSearches = "d3d80556-e9d4-5f37-9878-2ab0fcc64255"
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
NeuralPDE = "315f7962-48a3-4962-8226-d0f33b1235f0"
Expand Down Expand Up @@ -35,6 +36,6 @@ OptimizationOptimisers = "0.1"
OptimizationPolyalgorithms = "0.1"
OrdinaryDiffEq = "6.31"
Plots = "1.36"
QuasiMonteCarlo = "0.2"
QuasiMonteCarlo = "0.3"
Roots = "2.0"
SpecialFunctions = "2.1"
1 change: 1 addition & 0 deletions docs/make.jl
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Expand Up @@ -4,6 +4,7 @@ cp("./docs/Manifest.toml", "./docs/src/assets/Manifest.toml", force = true)
cp("./docs/Project.toml", "./docs/src/assets/Project.toml", force = true)

ENV["GKSwstype"] = "100"
ENV["JULIA_DEBUG"] = "Documenter"
using Plots

include("pages.jl")
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4 changes: 2 additions & 2 deletions docs/src/examples/ks.md
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Expand Up @@ -27,7 +27,7 @@ where $\theta = t - x/2$ and with initial and boundary conditions:
We use physics-informed neural networks.

```@example ks
using NeuralPDE, Lux, ModelingToolkit, Optimization, OptimizationOptimJL
using NeuralPDE, Lux, ModelingToolkit, Optimization, OptimizationOptimJL, LineSearches
import ModelingToolkit: Interval, infimum, supremum

@parameters x, t
Expand Down Expand Up @@ -71,7 +71,7 @@ callback = function (p, l)
return false
end

opt = OptimizationOptimJL.BFGS()
opt = OptimizationOptimJL.LBFGS(linesearch = BackTracking())
res = Optimization.solve(prob, opt; callback = callback, maxiters = 2000)
phi = discretization.phi
```
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3 changes: 2 additions & 1 deletion docs/src/examples/linear_parabolic.md
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Expand Up @@ -27,6 +27,7 @@ with a physics-informed neural network.
using NeuralPDE, Lux, ModelingToolkit, Optimization, OptimizationOptimJL
using Plots
import ModelingToolkit: Interval, infimum, supremum
using LineSearches

@parameters t, x
@variables u(..), w(..)
Expand Down Expand Up @@ -92,7 +93,7 @@ callback = function (p, l)
return false
end

res = Optimization.solve(prob, BFGS(); callback = callback, maxiters = 5000)
res = Optimization.solve(prob, LBFGS(linesearch = BackTracking()); callback = callback, maxiters = 5000)

phi = discretization.phi

Expand Down
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