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...
Päätekijä: | Bartmanski, BJ |
---|---|
Muut tekijät: | Baker, R |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
2020
|
Aiheet: |
Samankaltaisia teoksia
-
Effects of different discretisations of the Laplacian upon stochastic simulations of reaction-diffusion systems on both static and growing domains
Tekijä: Bartmanski, BJ, et al.
Julkaistu: (2021) -
Stochastic transport models in confined networked environments
Tekijä: Wilson, D
Julkaistu: (2019) -
Variance reduction techniques for chemical reaction network simulation
Tekijä: Beentjes, C
Julkaistu: (2020) -
Spatiotemporal behaviour of stochastic and continuum models for biological signalling on stationary and growing domains
Tekijä: Woolley, T, et al.
Julkaistu: (2012) -
Comparing stochastic discrete and deterministic continuum models of cell migration
Tekijä: Yates, C
Julkaistu: (2011)