Efficient methods for simulating stochastic reaction-diffusion models on evolving domains
<p>Mathematical modelling of complex biological phenomena allows us to under- stand the contributions of different processes to observed behaviours. Many of these phenomena involve the reaction and diffusion of biomolecules and so we use so-called reaction-diffusion models to describe them mat...
Main Author: | Bartmanski, BJ |
---|---|
Other Authors: | Baker, R |
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: |
Similar Items
-
Effects of different discretisations of the Laplacian upon stochastic simulations of reaction-diffusion systems on both static and growing domains
by: Bartmanski, BJ, et al.
Published: (2021) -
Stochastic transport models in confined networked environments
by: Wilson, D
Published: (2019) -
Variance reduction techniques for chemical reaction network simulation
by: Beentjes, C
Published: (2020) -
Spatiotemporal behaviour of stochastic and continuum models for biological signalling on stationary and growing domains
by: Woolley, T, et al.
Published: (2012) -
Comparing stochastic discrete and deterministic continuum models of cell migration
by: Yates, C
Published: (2011)