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ChrisRackauckas merged 2 commits into from
Mar 27, 2026
Merged

Add NeuralNetworks folder and register in docs #18

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ce59ef7
Add NeuralNetworks folder placeholders and register in docs pages
ChrisRackauckas Mar 27, 2026
ddbfdf8
Remove unnecessary placeholder directories
ChrisRackauckas Mar 27, 2026
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119 changes: 60 additions & 59 deletions docs/pages.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -37,62 +37,63 @@ for folder in readdir(benchmarksdir)
end


# The result is in alphabetical order, change to the wanted order

section_titles = [
"MultiLanguage" => "Multi-Language Wrapper Benchmarks",
"LinearSolve" => "Linear Solvers",
"IntervalNonlinearProblem" => "Interval Rootfinding",
"NonlinearProblem" => "Nonlinear Solvers",
"AutomaticDifferentiation" => "Automatic Differentiation",
"AutomaticDifferentiationSparse" => "Sparse Automatic Differentiation",
"NonStiffODE" => "Non-Stiff Ordinary Differential Equations (ODEs)",
"StiffODE" => "Stiff Ordinary Differential Equations (ODEs)",
"Bio" => "Biological Differential Equations",
"AstroChem" => "Astrochemistry Differential Equations",
"DAE" => "Differential-Algebraic Equations (DAEs)",
"NonStiffBVP" => "Non-Stiff Boundary Value Problems (BVPs)",
"StiffBVP" => "Stiff Boundary Value Problems (BVPs)",
"ModelingToolkit" => "ModelingToolkit Acausal Modeling / Symbolic-Numeric Benchmarks",
"SimpleHandwrittenPDE" => "Simple Handwritten Partial Differential Equations (PDEs) as ODEs",
"ComplicatedPDE" => "Complicated Partial Differential Equations (PDEs)",
"DynamicalODE" => "Dynamical ODEs (Hamiltonian and Second Order)",
"NBodySimulator" => "N-Body Problem Benchmarks",
"NonStiffSDE" => "Non-Stiff Stochastic Differential Equations (SDEs)",
"StiffSDE" => "Stiff Stochastic Differential Equations (SDEs)",
"NonStiffDDE" => "Non-Stiff Delay Differential Equations (DDEs)",
"StiffDDE" => "Stiff Delay Differential equations (DDEs)",
"Jumps" => "Jump Process Equations (Gillespie Benchmarks)",
"HybridJumps" => "Hybrid (Time-Dependent) Jump Processes",
"Optimization" => "Nonlinear Optimization Solver Benchmarks",
"OptimizationCUTEst" => "CUTEst Optimization Solver Benchmarks",
"GlobalOptimization" => "Global Optimization Benchmarks",
"OptimizationFrameworks" => "Optimization Framework Benchmarks",
"ParameterEstimation" => "Parameter Estimation and Inverse Problem Benchmarks",
"BayesianInference" => "Bayesian Inference and Probabilistic Inverse Problem Benchmarks",
"MethodOfLinesPDE" => "MethodOfLines.jl Partial Differential Equation (PDE) Formulations",
"PINNErrorsVsTime" => "Physics-Informed Neural Network (Neural Network PDE Solver) Cost Function Benchmarks",
"PINNOptimizers" => "Physics-Informed Neural Network (Neural Network PDE Solver) Optimizer Benchmarks",
"AdaptiveSDE" => "SDE Adaptivity Benchmarks",
"Surrogates" => "Surrogate Benchmarks",
"Symbolics" => "Symbolic Manipulation Benchmarks"
]

renamed_index = "SciMLBenchmarks.jl: Benchmarks for Scientific Machine Learning (SciML) and Equation Solvers" =>
pages[1][2]
remaining_pages = Dict{String,Any}(pages[2:end])
ordered_pages = Any[renamed_index]

for (folder, title) in section_titles
if haskey(remaining_pages, folder)
push!(ordered_pages, title => remaining_pages[folder])
delete!(remaining_pages, folder)
end
end

# Keep docs generation robust when new benchmark folders are added.
for folder in sort!(collect(keys(remaining_pages)))
push!(ordered_pages, folder => remaining_pages[folder])
end

pages = ordered_pages
# The result is in alphabetical order, change to the wanted order

section_titles = [
"MultiLanguage" => "Multi-Language Wrapper Benchmarks",
"LinearSolve" => "Linear Solvers",
"IntervalNonlinearProblem" => "Interval Rootfinding",
"NonlinearProblem" => "Nonlinear Solvers",
"AutomaticDifferentiation" => "Automatic Differentiation",
"AutomaticDifferentiationSparse" => "Sparse Automatic Differentiation",
"NonStiffODE" => "Non-Stiff Ordinary Differential Equations (ODEs)",
"StiffODE" => "Stiff Ordinary Differential Equations (ODEs)",
"Bio" => "Biological Differential Equations",
"AstroChem" => "Astrochemistry Differential Equations",
"DAE" => "Differential-Algebraic Equations (DAEs)",
"NonStiffBVP" => "Non-Stiff Boundary Value Problems (BVPs)",
"StiffBVP" => "Stiff Boundary Value Problems (BVPs)",
"ModelingToolkit" => "ModelingToolkit Acausal Modeling / Symbolic-Numeric Benchmarks",
"SimpleHandwrittenPDE" => "Simple Handwritten Partial Differential Equations (PDEs) as ODEs",
"ComplicatedPDE" => "Complicated Partial Differential Equations (PDEs)",
"DynamicalODE" => "Dynamical ODEs (Hamiltonian and Second Order)",
"NBodySimulator" => "N-Body Problem Benchmarks",
"NonStiffSDE" => "Non-Stiff Stochastic Differential Equations (SDEs)",
"StiffSDE" => "Stiff Stochastic Differential Equations (SDEs)",
"NonStiffDDE" => "Non-Stiff Delay Differential Equations (DDEs)",
"StiffDDE" => "Stiff Delay Differential equations (DDEs)",
"Jumps" => "Jump Process Equations (Gillespie Benchmarks)",
"HybridJumps" => "Hybrid (Time-Dependent) Jump Processes",
"Optimization" => "Nonlinear Optimization Solver Benchmarks",
"OptimizationCUTEst" => "CUTEst Optimization Solver Benchmarks",
"GlobalOptimization" => "Global Optimization Benchmarks",
"OptimizationFrameworks" => "Optimization Framework Benchmarks",
"ParameterEstimation" => "Parameter Estimation and Inverse Problem Benchmarks",
"BayesianInference" => "Bayesian Inference and Probabilistic Inverse Problem Benchmarks",
"MethodOfLinesPDE" => "MethodOfLines.jl Partial Differential Equation (PDE) Formulations",
"PINNErrorsVsTime" => "Physics-Informed Neural Network (Neural Network PDE Solver) Cost Function Benchmarks",
"PINNOptimizers" => "Physics-Informed Neural Network (Neural Network PDE Solver) Optimizer Benchmarks",
"NeuralNetworks" => "Neural Network Framework Benchmarks",
"AdaptiveSDE" => "SDE Adaptivity Benchmarks",
"Surrogates" => "Surrogate Benchmarks",
"Symbolics" => "Symbolic Manipulation Benchmarks"
]

renamed_index = "SciMLBenchmarks.jl: Benchmarks for Scientific Machine Learning (SciML) and Equation Solvers" =>
pages[1][2]
remaining_pages = Dict{String,Any}(pages[2:end])
ordered_pages = Any[renamed_index]

for (folder, title) in section_titles
if haskey(remaining_pages, folder)
push!(ordered_pages, title => remaining_pages[folder])
delete!(remaining_pages, folder)
end
end

# Keep docs generation robust when new benchmark folders are added.
for folder in sort!(collect(keys(remaining_pages)))
push!(ordered_pages, folder => remaining_pages[folder])
end

pages = ordered_pages
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