We present and analyze an implicit–explicit timestepping procedure with finite element spatial approximation for semilinear reaction–diffusion systems on evolving domains arising from biological models, such as Schnakenberg’s (1979). We employ a Lagrangian formulation of the model equations which permits the error analysis for parabolic equations on a fixed domain but introduces technical difficulties, foremost the space-time dependent conductivity and diffusion. We prove optimal-order error estimates in the L∞(0, T; L2(Ω)) and L2(0, T; H1(Ω)) norms, and a pointwise stability result. We remark that these apply to Eulerian solutions. Details on the implementation of the Lagrangian and the Eulerian scheme are provided. We also report o...
The authors (MF, AM, IS CV) would like to thank the Isaac Newton Institute for Mathematical Sciences...
Philosophiae Doctor - PhDIn this thesis, we solve some time-dependent partial differential equations...
timestepping with finite element approximation of reaction–diffusion systems on evolving domain
In this paper we consider the stability and convergence of finite difference discretisations of a re...
In this article we present robust, efficient and accurate fully implicit time-stepping schemes and n...
Reaction-diffusion systems have been widely studied in developmental biology, chemistry and more rec...
We present global existence results for solutions of reaction-diffusion systems on evolving domains....
In this thesis we investigate a model for biological pattern formation during growth development. Th...
We propose and analyse a finite element method with mass lumping (LESFEM) for the numerical approxim...
Systems of reaction–diffusion partial differential equations (RD-PDEs) are widely applied for modeli...
Systems of reaction–diffusion partial differential equations (RD-PDEs) are widely applied for modeli...
By using asymptotic theory, we generalise the Turing diffusively-driven instability conditions for r...
In this article we present, for the first time, domain-growth induced pat- tern formation for reacti...
In this thesis we investigate a model for biological pattern formation during growth development. Th...
We propose and analyse a finite element method with mass lumping (LESFEM) for the numerical approxi...
The authors (MF, AM, IS CV) would like to thank the Isaac Newton Institute for Mathematical Sciences...
Philosophiae Doctor - PhDIn this thesis, we solve some time-dependent partial differential equations...
timestepping with finite element approximation of reaction–diffusion systems on evolving domain
In this paper we consider the stability and convergence of finite difference discretisations of a re...
In this article we present robust, efficient and accurate fully implicit time-stepping schemes and n...
Reaction-diffusion systems have been widely studied in developmental biology, chemistry and more rec...
We present global existence results for solutions of reaction-diffusion systems on evolving domains....
In this thesis we investigate a model for biological pattern formation during growth development. Th...
We propose and analyse a finite element method with mass lumping (LESFEM) for the numerical approxim...
Systems of reaction–diffusion partial differential equations (RD-PDEs) are widely applied for modeli...
Systems of reaction–diffusion partial differential equations (RD-PDEs) are widely applied for modeli...
By using asymptotic theory, we generalise the Turing diffusively-driven instability conditions for r...
In this article we present, for the first time, domain-growth induced pat- tern formation for reacti...
In this thesis we investigate a model for biological pattern formation during growth development. Th...
We propose and analyse a finite element method with mass lumping (LESFEM) for the numerical approxi...
The authors (MF, AM, IS CV) would like to thank the Isaac Newton Institute for Mathematical Sciences...
Philosophiae Doctor - PhDIn this thesis, we solve some time-dependent partial differential equations...
timestepping with finite element approximation of reaction–diffusion systems on evolving domain