We present a numerical method to identify possible candidates of quasi stationary manifolds in complex reaction networks governed by systems of ordinary differential equations. Inspired by singular perturbation theory we examine the ratios of certain components of the reaction rate vector. Those ratios that rapidly approach an almost constant value define a slow manifold for the original flow in terms of quasi integrals, i.e. functions that are almost constant along the trajectories. The dimensionality of the original system is thus effectively reduced without relying on a priori knowledge of the different time scales in the system. We also demonstrate the relation of our approach to singular perturbation theory which, in its simplest form,...
Abstract: The paper outlines the current state in the model reduction of systems governing reacting ...
Recasting the rate equations of mass-action chemical kinetics into universal formats s a potentially...
Biochemical reaction networks tend to exhibit behaviour on more than one timescale and they are inev...
We present a numerical method to identify possible candidates of quasi stationary manifolds in compl...
We present a numerical method to identify possible candidates of quasi stationary manifolds in compl...
Model reduction of fast-slow chemical reaction networks based on the quasi-steady state approximatio...
The paper has two goals: (1) It presents basic ideas, notions, and methods for reduction of reaction...
Model reduction of fast-slow chemical reaction networks based on the quasi-steady state approximatio...
Model reduction of fast-slow chemical reaction networks based on the quasi-steady state approximatio...
International audienceAbstract We derive a reduction formula for singularly perturbed ordinary diffe...
This thesis deals with ordinary differential equations which model reacting systems obeying mass-act...
Model reduction of fast-slow chemical reaction networks based on the quasi-steady state approximatio...
We consider reaction networks that admit a singular perturbation reduction in a certain parameter ra...
The objective of the present paper is to analyse the concept of quasi-stationarity, which is motivat...
The paper outlines the current state in the model reduction of systems governing reacting flows by m...
Abstract: The paper outlines the current state in the model reduction of systems governing reacting ...
Recasting the rate equations of mass-action chemical kinetics into universal formats s a potentially...
Biochemical reaction networks tend to exhibit behaviour on more than one timescale and they are inev...
We present a numerical method to identify possible candidates of quasi stationary manifolds in compl...
We present a numerical method to identify possible candidates of quasi stationary manifolds in compl...
Model reduction of fast-slow chemical reaction networks based on the quasi-steady state approximatio...
The paper has two goals: (1) It presents basic ideas, notions, and methods for reduction of reaction...
Model reduction of fast-slow chemical reaction networks based on the quasi-steady state approximatio...
Model reduction of fast-slow chemical reaction networks based on the quasi-steady state approximatio...
International audienceAbstract We derive a reduction formula for singularly perturbed ordinary diffe...
This thesis deals with ordinary differential equations which model reacting systems obeying mass-act...
Model reduction of fast-slow chemical reaction networks based on the quasi-steady state approximatio...
We consider reaction networks that admit a singular perturbation reduction in a certain parameter ra...
The objective of the present paper is to analyse the concept of quasi-stationarity, which is motivat...
The paper outlines the current state in the model reduction of systems governing reacting flows by m...
Abstract: The paper outlines the current state in the model reduction of systems governing reacting ...
Recasting the rate equations of mass-action chemical kinetics into universal formats s a potentially...
Biochemical reaction networks tend to exhibit behaviour on more than one timescale and they are inev...