QUASAR Stochastic Optimizer
QUASAR is a state-of-the-art analytics software that empowers decision-makers to optimize models with random parameters.
Model, optimize, and analyze your decisions directly in iPython. Our trial includes many examples as well as a fully functional version of QUASAR. Only the problem size is limited to lattices with a maximum of 50 nodes per stage and 24 stages.
Getting started with Docker
- Install Docker or Kitematic on Mac OSX.
docker run -p 8888:8888 quantego/quasaror search Kitematic for
- Open http://localhost:8888
Getting started without Docker
If you already have your Python environment set up and know how to manage packages and run iPython/Jupyter, you can install QUASAR directly.
- 4 GB of memory or greater
- 64-bit Windows, Linux, or Mac OS
- April 2016: use jupyter instead of ipython, use Debian instead of Ubuntu.
- Jan 2016: add and test sample notebooks
- Nov 2015: initial publication
The best way to learn QUASAR is to read and run our example notebooks.
- Newsvendor problem
- Aggregate Planning
- Inventory Control
- Battery Store
- Gas Storage Valuation
- Hydropower Planning
For more tutorials and API reference, go to http://docs.quantego.com/pyquasar/.
Support and Commercial Use
Quantego QUASAR is a commercial library, designed to run on top of the excellent Jupyter platform. You can test QUASAR as long as you want. If you wish to use Quantego QUASAR in a commercial environment or remove the node and stage restrictions for academic use, please contact us at email@example.com.