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mkdocs.yml
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mkdocs.yml
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site_name: Optim.jl
repo_url: https://github.com/JuliaNLSolvers/Optim.jl/
site_description: Pure Julia implementations of optimization algorithms.
site_author: JuliaNLSolvers
theme: windmill
markdown_extensions:
# - codehilite
- extra
- tables
- fenced_code
- mdx_math
- admonition
extra_javascript:
- https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS_HTML
- assets/mathjaxhelper.js
extra_css:
- assets/Documenter.css
docs_dir: 'build'
pages:
- Home: 'index.md'
- Tutorials:
- Minimizing a function: 'user/minimization.md'
- Gradients and Hessians: 'user/gradientsandhessians.md'
- Configurable Options: 'user/config.md'
- Linesearch: 'algo/linesearch.md'
- Algorithm choice: 'user/algochoice.md'
- Preconditioners: 'algo/precondition.md'
- Complex optimization: 'algo/complex.md'
- Manifolds: 'algo/manifolds.md'
- Tips and tricks: 'user/tipsandtricks.md'
- Interior point Newton: 'examples/generated/ipnewton_basics.md'
- Maximum likelihood estimation: 'examples/generated/maxlikenlm.md'
- Conditional maximum likelihood estimation: 'examples/generated/rasch.md'
- Algorithms:
- Gradient Free:
- Nelder Mead: 'algo/nelder_mead.md'
- Simulated Annealing: 'algo/simulated_annealing.md'
- Simulated Annealing w/ bounds: 'algo/samin.md'
- Particle Swarm: 'algo/particle_swarm.md'
# - Univariate:
# - Brent's Method: 'algo/brent.md'
# - Golden Section: 'algo/goldensection.md'
- Gradient Required:
- 'Conjugate Gradient': 'algo/cg.md'
- 'Gradient Descent': 'algo/gradientdescent.md'
- '(L-)BFGS': 'algo/lbfgs.md'
- 'Acceleration': 'algo/ngmres.md'
- Hessian Required:
- Newton: 'algo/newton.md'
- Newton with Trust Region: 'algo/newton_trust_region.md'
- Interior point Newton: 'algo/ipnewton.md'
- Contributing: 'dev/contributing.md'
- License: 'LICENSE.md'