34 citations · 202 across the 25 of their papers we have counts for
3 papers · 1 filter
Incorporating domain growth into hybrid methods for reaction-diffusion systems
Cameron A. Smith, Christian A. Yates
Reaction--diffusion mechanism are a robust paradigm that can be used to represent many biological and physical phenomena over multiple spatial scales. Applications include intracel…
The blending region hybrid framework for the simulation of stochastic reaction-diffusion processes
Christian A. Yates, Adam George, Armand Jordana +3
The simulation of stochastic reaction-diffusion systems using fine-grained representations can become computationally prohibitive when particle numbers become large. If particle nu…
Efficiently simulating discrete-state models with binary decision trees
Christopher Lester, Ruth E. Baker, Christian A. Yates
Stochastic simulation algorithms (SSAs) are widely used to numerically investigate the properties of stochastic, discrete-state models. The Gillespie Direct Method is the pre-emine…