In this communication, the combined field integral equation for perfect electrically conducting scatterers is combined with the stochastic Galerkin method (SGM) to model the impact of stochastic variations of the shape of the scatterer on the radar cross-section and on the induced current distribution. The SGM is compared to the stochastic collocation method (SCM) and it is shown that for a modest number of random variables the SGM is a good alternative to the SCM
To account for uncertainties on model parameters, the stochastic approach can be used. The model par...
We present a preconditioner for an intrusive stochastic Galerkin method (SGM) based scattering solve...
This dissertation study three different approaches for stochastic electromagnetic fields based on th...
In this communication, the combined field integral equation for perfect electrically conducting scat...
In this letter, the Multilevel Fast Multipole Method (MLFMM) is combined with the polynomial chaos e...
In this letter, the multilevel fast multipole method (MLFMM) is combined with the polynomial chaos e...
The stochastic computation of electromagnetic (EM) problems is a relatively new topic, yet very impo...
Computational Electromagnetics (CEM) involves the process of modeling the interaction of elec...
The paper reviews the application of deterministic-stochastic models in some areas of computational ...
This thesis presents a set of tools and methodologies that perform fast stochastic characterization ...
Uncertainty analysis methods are widely used in today’s Electromagnetic Compatibility (EMC) simulati...
This thesis presents methodologies for the efficient assessment of the impact of statistical variabi...
We discuss computationally efficient ways of accounting for the impact of uncertainty, e. g., lack o...
The usefulness of stochastic methods to efficiently quantify uncertainties in computational models o...
Keywords : Conjugate gradient fast Fourier transform (CG-FFT), Discrete complex image method (DCIM),...
To account for uncertainties on model parameters, the stochastic approach can be used. The model par...
We present a preconditioner for an intrusive stochastic Galerkin method (SGM) based scattering solve...
This dissertation study three different approaches for stochastic electromagnetic fields based on th...
In this communication, the combined field integral equation for perfect electrically conducting scat...
In this letter, the Multilevel Fast Multipole Method (MLFMM) is combined with the polynomial chaos e...
In this letter, the multilevel fast multipole method (MLFMM) is combined with the polynomial chaos e...
The stochastic computation of electromagnetic (EM) problems is a relatively new topic, yet very impo...
Computational Electromagnetics (CEM) involves the process of modeling the interaction of elec...
The paper reviews the application of deterministic-stochastic models in some areas of computational ...
This thesis presents a set of tools and methodologies that perform fast stochastic characterization ...
Uncertainty analysis methods are widely used in today’s Electromagnetic Compatibility (EMC) simulati...
This thesis presents methodologies for the efficient assessment of the impact of statistical variabi...
We discuss computationally efficient ways of accounting for the impact of uncertainty, e. g., lack o...
The usefulness of stochastic methods to efficiently quantify uncertainties in computational models o...
Keywords : Conjugate gradient fast Fourier transform (CG-FFT), Discrete complex image method (DCIM),...
To account for uncertainties on model parameters, the stochastic approach can be used. The model par...
We present a preconditioner for an intrusive stochastic Galerkin method (SGM) based scattering solve...
This dissertation study three different approaches for stochastic electromagnetic fields based on th...