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Pareto-Optimal Solutions of Inverse Gravimetry Problem with Uncertain a Priori Information

  • T. N. Kyshman-LavanovaEmail author
Conference paper
Part of the Springer Proceedings in Earth and Environmental Sciences book series (SPEES)

Abstract

The inverse problem of gravimetry under uncertainty of heterogeneous a priori information is solved. An algorithm using the possibilities of deterministic and probabilistic approaches is developed. In the framework of the probabilistic approach, a priori distribution of model parameters described by fuzzy sets. A deterministic approach is used to calculate fields from a given distribution of model parameters and formalization of a priori information through natural restrictions. Since the establishment of this algorithm is independent, it can be used for solving a wide range of nonlinear geophysical inverse problems.

Keywords

Inverse problem Gravimetry Uncertain a priori information 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute of Geophysics, NAS of UkraineKievUkraine

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