Abstract
The dependence of transmissivity estimates on head data is both nonlinear and ill-posed, and so is difficult to analyse and solve. The paper looks at the setting of this problem, in particular in what spaces are the actual data and in what spaces can uniqueness be proven. The paper also looks at the problem of finding a discretization that has at least some of the useful properties found in discretizations of linear ill-posed problems based the singular value decomposition. As definitive answers have not yet been found to the many of the questions raised, the paper is intended to serve more as a platform for further work than as a report on results achieved.
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