Adaptive deployment of model reductions for tau-leaping simulation

Multiple time scales in cellular chemical reactionsystems often render the tau-leaping algorithm inefficient. Various model reductions have been proposed to accelerate tau-leaping simulations. However, these are often identified and deployed manually, requiring expert knowledge. This is time-consuming and prone to error. In previous work, we proposed a methodology for automatic identification and validation of model reduction opportunities for tau-leaping simulation. Here, we show how the model reductions can be automatically and adaptively deployed during the time course of a simulation. For multiscale systems, this can result in substantial speedups.

Wu, S., Fu, J. and Petzold, L.R.
The Journal of Chemical Physics
Volume: 142
Number: 204108
Date: May, 2015
ICB Affiliated Authors: Linda R Petzold