Uncertainties affecting electromagnetic interactions can alter the accuracy of simulation models. A stochastic method is proposed to measure these uncertainties in problems modeled by integral equations. The first statistical moments of the interaction output parameters are efficiently computed by quadrature. This approach is applied to the study of the voltage induced on a dipole by a stochastic plane wave, in presence of a randomly varying PEC plate
Computational Electromagnetics (CEM) involves the process of modeling the interaction of elec...
This thesis presents methodologies for the efficient assessment of the impact of statistical variabi...
A novel nonintrusive statistical approach, known as the stochastic reduced order model (SROM) method...
Uncertainties affecting electromagnetic interactions can alter the accuracy of simulation models. A ...
A stochastic approach is presented to statistically characterize uncertainties in electromagnetic in...
A stochastic method is presented to statistically characterize electromagnetic interactions affected...
The usefulness of stochastic methods to efficiently quantify uncertainties in computational models o...
The objective of electromagnetic compatibility (EMC) is to ensure the peaceful coexistence and the p...
A modeling method is proposed to quantify uncertainties affecting electromagnetic interactions. This...
We compare the performance of three computational methods for characterizing the electromagnetic int...
This article presents a method to characterize stochastic observables defined by induced surface cur...
A stochastic approach is presented to statistically characterise uncertainties in electromagnetic in...
The analysis presented in this paper, shows how the basic statistics in the interaction of stochasti...
International audienceThis article presents a method to characterize stochastic observables defined ...
We investigate the induced voltage due to a wire with stochastic geometry above a perfectly conducti...
Computational Electromagnetics (CEM) involves the process of modeling the interaction of elec...
This thesis presents methodologies for the efficient assessment of the impact of statistical variabi...
A novel nonintrusive statistical approach, known as the stochastic reduced order model (SROM) method...
Uncertainties affecting electromagnetic interactions can alter the accuracy of simulation models. A ...
A stochastic approach is presented to statistically characterize uncertainties in electromagnetic in...
A stochastic method is presented to statistically characterize electromagnetic interactions affected...
The usefulness of stochastic methods to efficiently quantify uncertainties in computational models o...
The objective of electromagnetic compatibility (EMC) is to ensure the peaceful coexistence and the p...
A modeling method is proposed to quantify uncertainties affecting electromagnetic interactions. This...
We compare the performance of three computational methods for characterizing the electromagnetic int...
This article presents a method to characterize stochastic observables defined by induced surface cur...
A stochastic approach is presented to statistically characterise uncertainties in electromagnetic in...
The analysis presented in this paper, shows how the basic statistics in the interaction of stochasti...
International audienceThis article presents a method to characterize stochastic observables defined ...
We investigate the induced voltage due to a wire with stochastic geometry above a perfectly conducti...
Computational Electromagnetics (CEM) involves the process of modeling the interaction of elec...
This thesis presents methodologies for the efficient assessment of the impact of statistical variabi...
A novel nonintrusive statistical approach, known as the stochastic reduced order model (SROM) method...