AbstractWe describe an approximation scheme which can be used to estimate unknown parameters in moving boundary problems. The model equations we consider are fairly general nonlinear diffusion/reaction equations of one spatial variable. Here we give conditions on the parameter sets and model equations under which we can prove that the estimates obtained using the approximations will converge to best-fit parameters for the original model equations. We conclude with a numerical example
We introduce the notion of maximal solutions of a class of moving boundary problems in the sense tha...
AbstractIn this article we consider the inverse problem of identifying a time dependent unknown coef...
In this paper, we describe a new algorithmic approach for parameter estimation in Ratcliff's [(1978)...
AbstractWe describe an approximation scheme which can be used to estimate unknown parameters in movi...
Diffusion is a phenomenon in which particles move from regions of higher density to regions of lower...
summary:We briefly discuss an abstract approximation framework and a convergence theory of parameter...
We rigorously justify the quasistationary approximations of two moving boundary problems. We work ou...
AbstractThe diffusion of a drug through a skin-like membrane which tends to partially absorb the dru...
AbstractEstimation problems involving partial differential equations with unknown boundary condition...
In many applications such as heat diffusion and flow problems, it is of interest to describe the pro...
In this article, an inverse nonlinear convection-diffusion problem is considered for the identificat...
This paper treats the filtering and parameter identification for the stochastic diffusion systems wi...
AbstractA boundary approximation method or spectral method for the numerical solution of the potenti...
In many applications, for example in heat diffusion and in flow problems, it is important to describ...
In this paper we consider the problem of estimating the state, and identifying parameters of a diffu...
We introduce the notion of maximal solutions of a class of moving boundary problems in the sense tha...
AbstractIn this article we consider the inverse problem of identifying a time dependent unknown coef...
In this paper, we describe a new algorithmic approach for parameter estimation in Ratcliff's [(1978)...
AbstractWe describe an approximation scheme which can be used to estimate unknown parameters in movi...
Diffusion is a phenomenon in which particles move from regions of higher density to regions of lower...
summary:We briefly discuss an abstract approximation framework and a convergence theory of parameter...
We rigorously justify the quasistationary approximations of two moving boundary problems. We work ou...
AbstractThe diffusion of a drug through a skin-like membrane which tends to partially absorb the dru...
AbstractEstimation problems involving partial differential equations with unknown boundary condition...
In many applications such as heat diffusion and flow problems, it is of interest to describe the pro...
In this article, an inverse nonlinear convection-diffusion problem is considered for the identificat...
This paper treats the filtering and parameter identification for the stochastic diffusion systems wi...
AbstractA boundary approximation method or spectral method for the numerical solution of the potenti...
In many applications, for example in heat diffusion and in flow problems, it is important to describ...
In this paper we consider the problem of estimating the state, and identifying parameters of a diffu...
We introduce the notion of maximal solutions of a class of moving boundary problems in the sense tha...
AbstractIn this article we consider the inverse problem of identifying a time dependent unknown coef...
In this paper, we describe a new algorithmic approach for parameter estimation in Ratcliff's [(1978)...