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New fast least-squares algorithm for estimating the best-fitting parameters due to simple geometric-structures from gravity anomalies
A new fast least-squares method is developed to estimate the shape factor (q-parameter) of a buried structure using normalized residual anomalies obtained from gravity data. The problem of shape factor estimation is transformed into a problem of finding a solution of a non-linear equation of the for...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4294742/ https://www.ncbi.nlm.nih.gov/pubmed/25685472 http://dx.doi.org/10.1016/j.jare.2012.11.006 |