Computational bioelectric field problems often require a researcher
to apply diverse skills in confronting problems involving very
large data sets, three-dimensional complex geometries, large-scale
computing, hefty amounts of numerical analysis, and visualization.
In this talk, I will present an overview of these distinct,
but interrelated aspects of large scale bioelectric field imaging
problems, focusing on inverse problems in cardiology and neuroscience.
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