Matthew Rocklin
University of Chicago, Computer Science

Abstract

We add a random variable type to a mathematical modeling language. We demonstrate through examples how this is a highly separable way to introduce uncertainty and produce and query stochastic models. We motivate the use of symbolics and thin compilers in scientific computing.

Keywords

Symbolics, mathematical modeling, uncertainty, SymPy

DOI

10.25080/Majora-54c7f2c8-009

Bibtex entry

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Copyright © 2012 Matthew Rocklin. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.