# See docs at: https://mystmd.org/guide/frontmatter
version: 1
project:
  id: 7a62a86d-a893-4ab1-9473-b1a957f78902
  title: GTSAM Docs
  description: GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
  github: https://github.com/borglab/gtsam
  toc:
    - file: README.md
    - file: INSTALL.md
    - file: ./doc/user_guide.md
      children: 
      - file: ./gtsam/geometry/geometry.md
        children:
        - pattern: ./gtsam/geometry/doc/*
      - file: ./gtsam/inference/inference.md
        children:
        - pattern: ./gtsam/inference/doc/*
      - file: ./gtsam/nonlinear/nonlinear.md
        children:
        - pattern: ./gtsam/nonlinear/doc/*
      - file: ./gtsam/symbolic/symbolic.md
        children:
        - pattern: ./gtsam/symbolic/doc/*
      - file: ./gtsam/navigation/navigation.md
        children:
        - pattern: ./gtsam/navigation/doc/*
      - file: ./gtsam/slam/slam.md
        children:
        - pattern: ./gtsam/slam/doc/*
    - file: ./doc/examples.md
      children: 
      - pattern: ./python/gtsam/examples/*.ipynb
    - file: ./doc/expressions.md
site:
  nav: 
    - title: GTSAM.org
      url: https://gtsam.org
    - title: C++ reference
      url: https://gtsam.org/doxygen/
  options:
    logo_text: GTSAM 
  template: book-theme

  # TODO: Graphics for favicon, site logo
  # options:
  #   favicon: favicon.ico
  #   logo: site_logo.png