Misfit landforms imposed by ill-conditioned inverse parametric problems


  • Marcin Łoś AGH University of Science and Technology
  • Maciej Smołka AGH University of Science and Technology
  • Robert Schaefer AGH University of Science and Technology
  • Jakub Sawicki AGH University of Science and Technology http://orcid.org/0000-0003-3494-4272




taxonomy of ill-conditioned problems, ill-posed global optimization problems, fitness landscapes


In the paper, we put forward a new topological taxonomy which allows to distinguish and separate multiple solutions to the ill-conditioned parametric inverse problems appearing in engineering, geophysics, medicine, etc. This taxonomy distinguishes the areas of insensitivity to parameters, called landforms of the misfit landscape, be it around minima (lowlands), maxima (uplands), or stationary points (shelves). We proved their important separability and completeness conditions. In particular, lowlands, uplands and shelves are
pairwise disjoint and there are no other subsets of the positive measure in the admissible domain on which misfit function takes a constant value. The topological taxonomy is related to the second, 'local' one, which characterizes the types of ill-conditioning of the particular solutions. We hope that the proposed results will be helpful for a better and more precise formulation of the ill-conditioned inverse problems and for selecting and profiling complex optimization strategies used to solve these problems.


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How to Cite

Łoś, M., Smołka, M., Schaefer, R., & Sawicki, J. (2018). Misfit landforms imposed by ill-conditioned inverse parametric problems. Computer Science, 19(2), 157. https://doi.org/10.7494/csci.2018.19.2.2781




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