Computational Electromagnetism: Cetraro, Italy 2014 (lecture Notes In Mathematics)
by Peter Monk /
2015 / English / PDF
4.1 MB Download
Presenting topics that have not previously been contained in a
single volume, this book offers an up-to-date review of
computational methods in electromagnetism, with a focus on recent
results in the numerical simulation of real-life electromagnetic
problems and on theoretical results that are useful in devising
and analyzing approximation algorithms. Based on four courses
delivered in Cetraro in June 2014, the material covered includes
the spatial discretization of Maxwell’s equations in a bounded
domain, the numerical approximation of the eddy current model in
harmonic regime, the time domain integral equation method (with
an emphasis on the electric-field integral equation) and an
overview of qualitative methods for inverse electromagnetic
scattering problems.
Presenting topics that have not previously been contained in a
single volume, this book offers an up-to-date review of
computational methods in electromagnetism, with a focus on recent
results in the numerical simulation of real-life electromagnetic
problems and on theoretical results that are useful in devising
and analyzing approximation algorithms. Based on four courses
delivered in Cetraro in June 2014, the material covered includes
the spatial discretization of Maxwell’s equations in a bounded
domain, the numerical approximation of the eddy current model in
harmonic regime, the time domain integral equation method (with
an emphasis on the electric-field integral equation) and an
overview of qualitative methods for inverse electromagnetic
scattering problems.
Assuming some knowledge of the variational formulation of PDEs
and of finite element/boundary element methods, the book is
suitable for PhD students and researchers interested in numerical
approximation of partial differential equations and scientific
computing.
Assuming some knowledge of the variational formulation of PDEs
and of finite element/boundary element methods, the book is
suitable for PhD students and researchers interested in numerical
approximation of partial differential equations and scientific
computing.
