@article{e5522546e16d445e9bd9b72d2ba0e030,
title = "Convex source support in three dimensions",
abstract = "This work extends the algorithm for computing the convex source support in the framework of the Poisson equation to a bounded three-dimensional domain. The convex source support is, in essence, the smallest (nonempty) convex set that supports a source that produces the measured (nontrivial) data on the boundary of the object. In particular, it belongs to the convex hull of the support of any source that is compatible with the measurements. The original algorithm for reconstructing the convex source support is inherently two-dimensional as it utilizes M{\"o}bius transformations. However, replacing the M{\"o}bius transformations by inversions with respect to suitable spheres and introducing the corresponding Kelvin transforms, the basic ideas of the algorithm carry over to three spatial dimensions. The performance of the resulting numerical algorithm is analyzed both for the inverse source problem and for electrical impedance tomography with a single pair of boundary current and potential as the measurement data.",
keywords = "Convex source support, Electrical impedance tomography, Inverse elliptic boundary value problem, Obstacle problem",
author = "Martin Hanke and Lauri Harhanen and Nuutti Hyv{\"o}nen and Eva Schweickert",
year = "2012",
month = "3",
doi = "10.1007/s10543-011-0338-0",
language = "English",
volume = "52",
pages = "45--63",
journal = "BIT - Numerical Mathematics",
issn = "0006-3835",
publisher = "Springer Netherlands",
number = "1",
}