Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

1 results

  • 5 - Efficient Stochastic Modelling of Chemical Reactions

  • Radek Erban, University of Oxford, S. Jonathan Chapman, University of Oxford
  • Book:
    Stochastic Modelling of Reaction–Diffusion Processes
    Published online:
    04 November 2019
    Print publication:
    30 January 2020, pp 137-159

  • Summary

    This chapter presents approaches for efficient modelling of stochastic chemical systems. These methods are useful when a computational model based on the Gillespie stochastic simulation algorithm (SSA), introduced in Chapter 1, cannot be executed in a reasonably short time. Scenarios in which the Gillespie SSA can be computationally intensive are discussed, starting with an example involving fast and slow chemical reactions. This example is used to introduce the multiscale SSA, which speeds up simulations by assuming that the fast processes are at equilibrium, and other approximate approaches for problems with multiple time scales. Exact approaches to decrease the computational intensity of the Gillespie SSA are then discussed, including the next-reaction SSA.