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Stochastic approaches in computational electromagnetics and bioelectromagnetism: the inclusion of stochastic parameter variability

The models used to simulate the interaction of electromagnetic fields with physical objects and the environment are mostly deterministic thus giving the result only for a specific setup of input parameters. However, the nature of these parameters is uncertain, which is why they should be represented as random variables and/or random processes. As a consequence the uncertainty is propagated to the output values. The scope of this research is to develop an efficient stochastic computational model with applications in bioelectromagnetism and electromagnetic compatibility of thin wire structures, which will provide statistical description of the uncertain output values and thus a more realistic and complete description for a given problem.

bioelectromagnetism ; computational electromagnetics ; sensitivity analysis ; stochastic analysis ; stochastic collocation ; uncertainty quantification ;

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