Results 111 to 120 of about 101,252 (223)
Economic Record, Volume 102, Issue 338, Page 323-349, September 2026.We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley +1 more source
Geocarto InternationalTo systematically and thoroughly analyze the sensitivity and reliability of the MSBAS regularization for the estimation of surface deformation over a mine in combination with an application example, this study processed 101 Sentinel-1A/B SAR images ...
Qiuxiang Tao +5 more
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Seismic Exploration for Magmatic Brine Lenses: An Example From Soufrière Hills Volcano, Montserrat
Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.Abstract The majority of metallic ore deposits are related to processes associated with ancient or modern volcanic systems. Beyond geothermal energy production, volcanoes also represent a potential resource of critical metals, including those required for carbon‐neutral technologies. Geothermal metals occur in subsurface fluid reservoirs fed by surface
Petros Bogiatzis +4 more
wiley +1 more source
Tikhonov regularization of a second order dynamical system with Hessian driven damping. [PDF]
Math Program, 2021 Boţ RI, Csetnek ER, László SC.
europepmc +1 more source
A PROPOSAL FOR REGULARIZED INVERSION FOR AN ILL-CONDITIONED DECONVOLUTION OPERATOR
CT&F Ciencia, Tecnología & Futuro, 2013 From the inverse problem theory aspect, deconvolution can be understood as the linear inversion of an ill-posed and ill-conditioned problem. The ill-conditioned property of the deconvolution operator make the solution of inverse problem sensitive to ...
Herling Gonzalez +2 more
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On a Level-Set Method for Ill-Posed Problems with Piecewise Nonconstant Coefficients
Journal of Applied Mathematics, 2013 We investigate a level-set-type method for solving ill-posed problems, with the assumption that the solutions are piecewise, but not necessarily constant functions with unknown level sets and unknown level values.
A. De Cezaro
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Low-Rank Tensor Ring Alternating Least Squares With Tikhonov Regularization for Image Completion
IEEE AccessTensor decomposition has become an important technology for recovering missing information in high-dimensional image and video data. Alternatively, spatial regularization has been incorporated into tensor models such as Tucker, tensor train (TT), and ...
Jung-Chun Chi +2 more
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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
core +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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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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