Fitting approach of V.N. Strakhov to solving inverse problems of gravity exploration: uptodate status and real abilities
© P.I. Balk, A. Yeske
Fitting algorithms of V.N. Strakhov for solving nonlinear inverse problems of gravity are considered from the viewpoint of
a concept of problemoriented methods of conditional minimization, which are the core of any technology of quantitative interpretation
data of gravity exploration. Comparative analysis of fitting algorithms revealed their principal virtue  it is their ability to avoid many
"acute angles" of the theory and practice of interpretation of potential fields, which became a sticking point for the most of known
approaches to solving inverse problems based on classical methods of solving conditionalextreme problems. And with it we can
not solve up to now the problem on permissive abilities of the fitting method, so only full scale computing experiment is able
to give an answer. This paper supplies the gap to some extent.
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