The finite state projection algorithm for the solution of the chemical master equation
University of California, Santa Barbara
Abstract
This article introduces the finite state projection (FSP) method for use in the stochastic analysis of chemically reacting systems. One can describe the chemical populations of such systems with probability density vectors that evolve according to a set of linear ordinary differential equations known as the chemical master equation (CME). Unlike Monte Carlo methods such as the stochastic simulation algorithm (SSA) or tau leaping, the FSP directly solves or approximates the solution of the CME. If the CME describes a system that has a finite number of distinct population vectors, the FSP method provides an exact analytical solution. When an infinite or extremely large number of population variations is…
Citation impact
- FWCI
- 11.18
- Percentile
- 100%
- References
- 17
Authors
2Topics & keywords
- Algorithm
- Projection (relational algebra)
- Population
- Computer science
- State space
- Set (abstract data type)
- Monte Carlo method
- Certificate