Stochastic reduced order modeling
Simon Tavener
Department of Mathematics
Colorado State University
Solving systems of differential equations becomes even more  challenging when a subset of the variables that define a "solution" are difficult or impossible to measure. I will examine two different approaches to addressing problems of this nature. I will begin with a  review of some standard ideas in statistical physics.