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In this paper, we have introduced the application of parametric model reduction methods to finite-state approximations of the chemical master equation.
The purpose of this paper is to introduce the application of these parametric model reduction methods to finite-state approximations of the chemical master equation, and to show possible usage scenarios of such an approach.
Chemical kinetics, elementary reactions, mechanisms, rate-limiting steps, and quasi-steady state approximations.
Rate equations for the process were obtained by applying steady-state approximations on ionic reaction intermediates.
As a result, two distinct quasi-steady-state approximations (QSSAs) can be made.
Our method of network reduction consists in using "steady state approximations" that do not change the number of steady states.
For transient stability analysis, the linear stability equations are solved by employing quasi-steady state approximations (QSSA's).
Global reliability methods offer a good alternative to limit state approximations, as they present similar accuracy and usually require fewer iterations.
In Section 4, we derive a posteriori error estimates for the control and state approximations.
Currently QCADesigner [16] utilizes nonlinear and two-state approximations to solve metallic-based QCA circuits.
Based on the model of quasi-steady-state approximations, Grimm thoroughly analyzed the consequences of TMDD on the disposition of mAb (Grimm, 2009).
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