Defense Date

2010

Document Type

Thesis

Degree Name

Master of Science

Department

Engineering

First Advisor

James McCollum

Abstract

Gillespie's Stochastic Simulation Algorithm (SSA) provides an elegant simulation approach for simulating models composed of coupled chemical reactions. Although this approach can be used to describe a wide variety biological, chemical, and ecological systems, often systems have external behaviors that are difficult or impossible to characterize using chemical reactions alone. This work extends the applicability of the SSA by adding mechanisms for the inclusion of external events and external triggers. We define events as changes that occur in the system at a specified time while triggers are defined as changes that occur to the system when a particular condition is fulfilled. We further extend the SSA with the efficient implementation of these model parameters. This work allows numerous systems that would have previously been impossible or impractical to model using the SSA to take advantage of this powerful simulation technique.

Rights

© The Author

Is Part Of

VCU University Archives

Is Part Of

VCU Theses and Dissertations

Date of Submission

December 2010

Included in

Engineering Commons

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