Results 121 to 130 of about 7,882 (230)
Parameter determination for Tikhonov regularization problems in general form
, 2018 Tikhonov regularization is one of the most popular methods for computing an approximate solution of linear discrete ill-posed problems with error-contaminated data.
G. Rodriguez, Y. Park, L. Reichel, X. Yu
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The United States Magnetotelluric Array and the National Impedance Map
Reviews of Geophysics, Volume 64, Issue 2, June 2026.Abstract The United States Magnetotelluric Array (USMTArray) data set, collected in the years 2006–2024, consists of more than 1,700 long‐period magnetotelluric stations covering the entirety of the contiguous United States on a quasi‐regular 70 km grid.
Anna Kelbert +7 more
wiley +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract The three‐dimensional (3D) gravity inversion problem is the process of delineating the volumetric mass distributions from the surface gravity anomalies. Recently, many innovative Convolutional Neural Network (CNN) based algorithms have found some success in reduction of computation costs and delineation of sharper boundaries of causative ...
Abhirup Chaudhuri +2 more
wiley +1 more source
On nondecreasing sequences of regularization parameters for nonstationary iterated Tikhonov
, 2012 Nonstationary iterated Tikhonov is an iterative regularization method that requires a strategy for defining the Tikhonov regularization parameter at each iteration and an early termination of the iterative process.
DONATELLI, MARCO
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Geophysical Prospecting, Volume 74, Issue 5, June 2026.ABSTRACT Magnetotelluric (MT) data are often contaminated by electromagnetic (EM) noise, making quality control (QC) essential for reliable inversion. Conventional manual time‐domain QC processes are labour‐intensive, and some noise inevitably remains after processing, necessitating complementary processing in the frequency domain to address the ...
Hanjoon Park +5 more
wiley +1 more source
Adaptive Arnoldi-Tikhonov regularization for image restoration
, 2014 In the framework of the numerical solution of linear systems arising from image restoration, in this paper we present an adaptive approach based on the reordering of the image approximations obtained with the Arnoldi-Tikhonov method.
RUSSO, MARIA ROSARIA, NOVATI, PAOLO
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Data reconciliation in multi‐trait experiments with kinship ordination
Methods in Ecology and Evolution, Volume 17, Issue 6, Page 1799-1817, June 2026.Abstract A central aim in biology is understanding the heritability of traits and how trait interactions contribute to success in diverse environments. Experiments that record multiple traits from individuals of known pedigree or genetic relatedness in distinct environments are key to addressing this aim.
Justin J. Van Ee +11 more
wiley +1 more source
, 2010 Recent advances in total least squares approaches for solving various errors-in-variables modeling problems are reviewed, with emphasis on the following generalizations: 1.
Markovsky, Ivan +2 more
core
, 2017 We study Tikhonov regularization for ill-posed non-linear operator equations in Hilbert scales. Our focus is on the interplay between the smoothness-promoting properties of the penalty and the smoothness inherent in the solution.
Mathé, Peter +3 more
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Finite element method for solving nonlinear inverse diffusion problem
پژوهشهای ریاضی, 2021 In this paper, a numerical method based on the finite element method and the least square scheme with the Tikhonov regularization method for nonlinear inverse diffusion problem is presented.
Hamed Zeidabadi +2 more
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