2012
DOI: 10.1007/s11771-012-1021-6
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Multiple linear system techniques for 3D finite element method modeling of direct current resistivity

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Cited by 11 publications
(4 citation statements)
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“…Multiple constraints, such as the prior model constraint, model smoothness constraint, and regularization constraint, are needed for the inversion process to increase the accuracy of the inversion due to the unique properties of landslides under rainfall conditions. The inversion process utilizes the inexact Gauss-Newton method [38] to determine the search direction, the Wolfe criterion [38] to determine the iteration step, and the Jacobian-free Krylov solution technique [39] to avoid the direct calculation of large, dense Jacobian matrices, all of which improve inversion efficiency. effects of the proposed framework on computed FOS under various arrays, apparent resistivity noise, and WECC uncertainty were investigated to verify the proposed framework's performance and reliability.…”
Section: Methodsmentioning
confidence: 99%
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“…Multiple constraints, such as the prior model constraint, model smoothness constraint, and regularization constraint, are needed for the inversion process to increase the accuracy of the inversion due to the unique properties of landslides under rainfall conditions. The inversion process utilizes the inexact Gauss-Newton method [38] to determine the search direction, the Wolfe criterion [38] to determine the iteration step, and the Jacobian-free Krylov solution technique [39] to avoid the direct calculation of large, dense Jacobian matrices, all of which improve inversion efficiency. effects of the proposed framework on computed FOS under various arrays, apparent resistivity noise, and WECC uncertainty were investigated to verify the proposed framework's performance and reliability.…”
Section: Methodsmentioning
confidence: 99%
“…where SD(d obs ) denotes the observed data's standard deviation and ε denotes the smallest possible data value to keep the denominator term from converging to zero, usually 0.0125. Model weights W can place smooth constraints on the inversion process and ensure the inversion model's spatial continuity [39].…”
Section: Inexact Gauss-newton Inversion Algorithm Based On Multiple C...mentioning
confidence: 99%
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