Add to ORKGIn many applications, for example in heat diffusion and in flow problems, it is important to describe the process behavior inside the particular medium. An example can be the strive for estimating certain parameters related to the material. This paper describes how the diffusion, modeled by a partial differential equation, can be solved using numerical methods and how results from the field of system identification can be utilized in order to estimate the parameters of interest
The probabilistic distribution of local time of a homogeneous transient dif- fusion process is foun...
Part 7: Applications and Control of Lumped Parameter SystemsInternational audienceIn this work we pr...
In this paper, we describe a new algorithmic approach for parameter estimation in Ratcliff’s (1978) ...
In many applications, for example in heat diffusion and in flow problems, it is important to describ...
In many applications such as heat diffusion and flow problems, it is of interest to describe the pro...
Diffusion is a phenomenon in which particles move from regions of higher density to regions of lower...
Mathematical models for diffusion processes like heat propagation, dispersion of pollutants etc., ar...
A large variety of natural, industrial, and environmental systems involves phenomena that are contin...
In this paper, we describe a new algorithmic approach for parameter estimation in Ratcliff's [(1978)...
This paper treats the filtering and parameter identification for the stochastic diffusion systems wi...
Résumé : Many physical phenomena are modeled by parametrized PDEs. The poor knowledge on the involve...
AbstractWe describe an approximation scheme which can be used to estimate unknown parameters in movi...
This paper studies the parameter estimation problem for a steady state flow in an inhomogeneous medi...
Mathematical models for diffusion processes like heat propagation, dispersion of pollutants etc., ar...
Differential models, numerical methods and computer simulations play a fundamental role in applied s...
The probabilistic distribution of local time of a homogeneous transient dif- fusion process is foun...
Part 7: Applications and Control of Lumped Parameter SystemsInternational audienceIn this work we pr...
In this paper, we describe a new algorithmic approach for parameter estimation in Ratcliff’s (1978) ...
In many applications, for example in heat diffusion and in flow problems, it is important to describ...
In many applications such as heat diffusion and flow problems, it is of interest to describe the pro...
Diffusion is a phenomenon in which particles move from regions of higher density to regions of lower...
Mathematical models for diffusion processes like heat propagation, dispersion of pollutants etc., ar...
A large variety of natural, industrial, and environmental systems involves phenomena that are contin...
In this paper, we describe a new algorithmic approach for parameter estimation in Ratcliff's [(1978)...
This paper treats the filtering and parameter identification for the stochastic diffusion systems wi...
Résumé : Many physical phenomena are modeled by parametrized PDEs. The poor knowledge on the involve...
AbstractWe describe an approximation scheme which can be used to estimate unknown parameters in movi...
This paper studies the parameter estimation problem for a steady state flow in an inhomogeneous medi...
Mathematical models for diffusion processes like heat propagation, dispersion of pollutants etc., ar...
Differential models, numerical methods and computer simulations play a fundamental role in applied s...
The probabilistic distribution of local time of a homogeneous transient dif- fusion process is foun...
Part 7: Applications and Control of Lumped Parameter SystemsInternational audienceIn this work we pr...
In this paper, we describe a new algorithmic approach for parameter estimation in Ratcliff’s (1978) ...