Simulation of electromagnetic and optical wave propagation in, e.g. water, fog or dielectric waveguides requires modeling of linear, temporally dispersive media. Using a POD-greedy sampling driven by an error indicator, we seek to generate a reduced model which accurately captures the dynamics. Typically, the reduced basis model reduction reduces the model order by a factor of more than 100, while maintaining an approximation error of less than 1%.

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Title: ScienceOpen Posters

Publisher: ScienceOpen

Publication date: December 8 2015

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DOI: 10.14293/P2199-8442.1.SOP-MATH.PWOIA0.v1

SO-VID: 3f8354ae-5793-4f99-bdc3-ff6026cb7933

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This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

Conference name: MoRePaS 2015 - Model Reduction of Parametrized Systems III

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ScienceOpen disciplines: Mathematics

Keywords: Model Reduction, Maxwell's equations

Reduced Basis Approximations for Maxwell’s Equations in Dispersive Media

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