FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3210587069> ?p ?o ?g. }

• W3210587069 endingPage "E34" @default.
• W3210587069 startingPage "E13" @default.
• W3210587069 abstract "We have developed a 2D anisotropic magnetotelluric (MT) inversion algorithm that uses a limited-memory quasi-Newton (QN) method for bounds-constrained optimization. This algorithm solves the inverse problem, which is nonlinear, by iterative minimization of linearized approximations of the classic Tikhonov regularized objective function. The QN approximation for the Hessian matrix is only implemented for the data-misfit term of the objective function; the part of the Hessian matrix for the regularization is explicitly computed. This adjustment results in a better approximation for the data-misfit term in particular. The inversion algorithm considers arbitrary anisotropy, and it is extended for special cases including azimuthal and vertical anisotropy. The algorithm is shown to be stable and converges rapidly for several simple anisotropic models. These synthetic tests also confirm that the anisotropic inversion produces a correct anomaly with different but equivalent anisotropic parameters. We also consider a complex 2D anisotropic model; the successful results for this model further confirm that the inversion algorithm presented here, which uses the novel modified limited-memory QN approach, is capable of solving the 2D anisotropic MT inverse problem. Finally, we have evaluated a practical application on MT data collected in northern Tibet to demonstrate the effectiveness and stability of our algorithm." @default.
• W3210587069 created "2021-11-08" @default.
• W3210587069 creator A5026368567 @default.
• W3210587069 creator A5034177305 @default.
• W3210587069 creator A5066321040 @default.
• W3210587069 creator A5072099006 @default.
• W3210587069 date "2021-11-11" @default.
• W3210587069 modified "2023-10-15" @default.
• W3210587069 title "Two-dimensional anisotropic magnetotelluric inversion using a limited-memory quasi-Newton method" @default.
• W3210587069 cites W1866179438 @default.
• W3210587069 cites W1969559355 @default.
• W3210587069 cites W1973250961 @default.
• W3210587069 cites W1977316054 @default.
• W3210587069 cites W1978299514 @default.
• W3210587069 cites W1979049985 @default.
• W3210587069 cites W1979369350 @default.
• W3210587069 cites W1983960578 @default.
• W3210587069 cites W2000359198 @default.
• W3210587069 cites W2003105834 @default.
• W3210587069 cites W2010301685 @default.
• W3210587069 cites W2013243898 @default.
• W3210587069 cites W2013459156 @default.
• W3210587069 cites W2017141000 @default.
• W3210587069 cites W2018716067 @default.
• W3210587069 cites W2023965747 @default.
• W3210587069 cites W2025843658 @default.
• W3210587069 cites W2029435807 @default.
• W3210587069 cites W2034625356 @default.
• W3210587069 cites W2035013738 @default.
• W3210587069 cites W2036833285 @default.
• W3210587069 cites W2037637220 @default.
• W3210587069 cites W2040006905 @default.
• W3210587069 cites W2041774199 @default.
• W3210587069 cites W2045673924 @default.
• W3210587069 cites W2048857911 @default.
• W3210587069 cites W2063115808 @default.
• W3210587069 cites W2064411489 @default.
• W3210587069 cites W2073564361 @default.
• W3210587069 cites W2081467492 @default.
• W3210587069 cites W2097201165 @default.
• W3210587069 cites W2102105285 @default.
• W3210587069 cites W2102175925 @default.
• W3210587069 cites W2103311380 @default.
• W3210587069 cites W2108064160 @default.
• W3210587069 cites W2112339777 @default.
• W3210587069 cites W2113915104 @default.
• W3210587069 cites W2113979318 @default.
• W3210587069 cites W2114606822 @default.
• W3210587069 cites W2115334987 @default.
• W3210587069 cites W2116027322 @default.
• W3210587069 cites W2119969303 @default.
• W3210587069 cites W2123889035 @default.
• W3210587069 cites W2133454905 @default.
• W3210587069 cites W2142063750 @default.
• W3210587069 cites W2143296955 @default.
• W3210587069 cites W2146801751 @default.
• W3210587069 cites W2148255299 @default.
• W3210587069 cites W2148418336 @default.
• W3210587069 cites W2148472475 @default.
• W3210587069 cites W2154775459 @default.
• W3210587069 cites W2162988958 @default.
• W3210587069 cites W2166319975 @default.
• W3210587069 cites W2168202276 @default.
• W3210587069 cites W2169660272 @default.
• W3210587069 cites W2322063813 @default.
• W3210587069 cites W2611588676 @default.
• W3210587069 cites W2796733902 @default.
• W3210587069 cites W2888529945 @default.
• W3210587069 cites W2894499027 @default.
• W3210587069 cites W2913893966 @default.
• W3210587069 cites W4229517220 @default.
• W3210587069 cites W4293775970 @default.
• W3210587069 doi "https://doi.org/10.1190/geo2020-0488.1" @default.
• W3210587069 hasPublicationYear "2021" @default.
• W3210587069 type Work @default.
• W3210587069 sameAs 3210587069 @default.
• W3210587069 citedByCount "4" @default.
• W3210587069 countsByYear W32105870692022 @default.
• W3210587069 countsByYear W32105870692023 @default.
• W3210587069 crossrefType "journal-article" @default.
• W3210587069 hasAuthorship W3210587069A5026368567 @default.
• W3210587069 hasAuthorship W3210587069A5034177305 @default.
• W3210587069 hasAuthorship W3210587069A5066321040 @default.
• W3210587069 hasAuthorship W3210587069A5072099006 @default.
• W3210587069 hasConcept C109007969 @default.
• W3210587069 hasConcept C112313211 @default.
• W3210587069 hasConcept C11413529 @default.
• W3210587069 hasConcept C114954040 @default.
• W3210587069 hasConcept C120665830 @default.
• W3210587069 hasConcept C121332964 @default.
• W3210587069 hasConcept C127313418 @default.
• W3210587069 hasConcept C134306372 @default.
• W3210587069 hasConcept C135252773 @default.
• W3210587069 hasConcept C151730666 @default.
• W3210587069 hasConcept C152442038 @default.
• W3210587069 hasConcept C158622935 @default.
• W3210587069 hasConcept C1893757 @default.
• W3210587069 hasConcept C203616005 @default.

• next