A numerical characteristic method for probability generating functions on stochastic first-order reaction networks
DOI10.1007/s10910-012-0085-8zbMath1402.92222OpenAlexW2165245895MaRDI QIDQ1936983
Junseok Kim, Chang Hyeong Lee, Jaemin Shin
Publication date: 11 February 2013
Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10910-012-0085-8
Monte Carlo methodcharacteristic methodfirst-order reaction networkfirst-order partial differential equation
PDEs in connection with biology, chemistry and other natural sciences (35Q92) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Biochemistry, molecular biology (92C40)
Cites Work
- Unnamed Item
- A stochastic analysis of first-order reaction networks
- Multiscale stochastic simulation algorithm with stochastic partial equilibrium assumption for chemically reacting systems
- Nested stochastic simulation algorithms for chemical kinetic systems with multiple time scales
- Solving the chemical master equation for monomolecular reaction systems analytically
- A reduction method for multiple time scale stochastic reaction networks
- A multiple time interval finite state projection algorithm for the solution to the chemical master equation
- Chemical Master versus Chemical Langevin for First-Order Reaction Networks
- Modeling and Simulating Chemical Reactions
- Switching and Diffusion Models for Gene Regulation Networks
- Introduction to Numerical Analysis
This page was built for publication: A numerical characteristic method for probability generating functions on stochastic first-order reaction networks