Start making optimal decisions under uncertainty.
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README.md

QUASAR Stochastic Optimizer

Circle CI

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

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.

System Requirements

  • 4 GB of memory or greater
  • 64-bit Windows, Linux, or Mac OS

Changelog

  • April 2016: use jupyter instead of ipython, use Debian instead of Ubuntu.
  • Jan 2016: add and test sample notebooks
  • Nov 2015: initial publication

Documentation

The best way to learn QUASAR is to read and run our example notebooks.

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 info@quantego.com.