No matter the size of the system to be modeled, the goal remains the same:
to understand which of the system's characteristics and interactions are
essential in order to quantify and represent its behavior. One always
seeks biologically useful solutions and interpretations of the mathematical
and computational results. Such results may help describe known behavior
as well as predict unknown responses and suggest new representations.
While simple to state, the aforementioned goals are difficult to realize.
Once the task of defining the problem is accomplished, the modeler must be
able to bring the proper tools to bear on solving the problem. While the
requisite * toolset* will depend upon the application, it is sure to
include techniques from a wide variety of disciplines, including computer
science, mathematics, physics, and engineering.

In this case study, we will describe the techniques of modeling and simulation which can be applied to a class of bioelectric field problems. Bioelectric field problems can be found in a wide variety of biomedical applications which range from single cells [1], to organs [2], up to models which incorporate partial to full human structures [3,4,5,6]. We will describe some general modeling techniques which will be applicable, in part, to all the aforementioned applications. We will focus our study on a class of direct and inverse volume conductor problems which arise in electrocardiography and electroencephalography. The solutions to these problems have applications to defibrillation studies, detection and location of arrhythmias, impedence imaging techniques, and localization and analysis of spontaneous brain activity in epileptic patients; furthermore, they can, in general, be used to estimate the electrical activity inside a volume conductor, either from potential measurements at an outer surface, or directly from the interior bioelectric sources.