[PDF][PDF] Research article Solving the chemical master equation using sliding windows
V Wolf, R Goel, M Mateescu, TA Henzinger - 2010 - bmcsystbiol.biomedcentral.com
Background: The chemical master equation (CME) is a system of ordinary differential
equations that describes the evolution of a network of chemical reactions as a stochastic
process. Its solution yields the probability density vector of the system at each point in time.
Solving the CME numerically is in many cases computationally expensive or even infeasible
as the number of reachable states can be very large or infinite. We introduce the sliding
window method, which computes an approximate solution of the CME by performing a …
equations that describes the evolution of a network of chemical reactions as a stochastic
process. Its solution yields the probability density vector of the system at each point in time.
Solving the CME numerically is in many cases computationally expensive or even infeasible
as the number of reachable states can be very large or infinite. We introduce the sliding
window method, which computes an approximate solution of the CME by performing a …
Solving the chemical master equation using sliding windows
V Wolf, R Goel, M Mateescu, TA Henzinger - BMC systems biology, 2010 - Springer
Background The chemical master equation (CME) is a system of ordinary differential
equations that describes the evolution of a network of chemical reactions as a stochastic
process. Its solution yields the probability density vector of the system at each point in time.
Solving the CME numerically is in many cases computationally expensive or even infeasible
as the number of reachable states can be very large or infinite. We introduce the sliding
window method, which computes an approximate solution of the CME by performing a …
equations that describes the evolution of a network of chemical reactions as a stochastic
process. Its solution yields the probability density vector of the system at each point in time.
Solving the CME numerically is in many cases computationally expensive or even infeasible
as the number of reachable states can be very large or infinite. We introduce the sliding
window method, which computes an approximate solution of the CME by performing a …
Showing the best results for this search. See all results