https://github.com/tingelst/game

Geometric Algebra Multivector Estimation
https://github.com/tingelst/game

automatic-differentiation geometric-algebra optimization

Last synced: about 2 months ago
JSON representation

Geometric Algebra Multivector Estimation

• Host: GitHub
• URL: https://github.com/tingelst/game
• Owner: tingelst
• License: other
• Created: 2015-09-03T11:50:16.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2017-10-03T14:27:18.000Z (almost 7 years ago)
• Last Synced: 2024-07-18T12:16:09.295Z (3 months ago)
• Topics: automatic-differentiation, geometric-algebra, optimization
• Language: Jupyter Notebook
• Size: 38.5 MB
• Stars: 13
• Watchers: 5
• Forks: 7
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

README

        
![](game_logo.png)

# **G**eometric **A**lgebra **M**ultivector **E**stimation

GAME is framework for estimation of multivectors in geometric algebra with focus on, but not limited to, the Euclidean and conformal model.

## Docker

```

docker build -t tingelst/game .

```

```

docker run -v `pwd`:/home/game/game -p 8888:8888 -e PASSWORD=YOUR_PASSWORD -e USE_HTTPS=yes game

```

## Installation

The main external dependency of GAME is the Ceres optimization framework from Google.

On OSX we recommend building the homebrew formula from source:

``` bash

brew tap homebrew/science

brew install ceres-solver --build-from-source

```

On Linux we recommend following the installation instructions found here: http://ceres-solver.org/building.html.

To build GAME follow the steps below:

``` bash

$ git clone --recursive https://github.com/tingelst/game.git

$ cd game

$ mkdir build && cd build

$ cmake .. && make

```