Results 111 to 120 of about 208,745 (278)
A Tikhonov-type regularization for Brézis pseudomonotone equilibrium problems in Banach spaces [PDF]
Ouayl Chadli +53 more
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Convergence rates of general regularization methods for statistical inverse problems and applications [PDF]
During the past the convergence analysis for linear statistical inverse problems has mainly focused on spectral cut-off and Tikhonov type estimators. Spectral cut-off estimators achieve minimax rates for a broad range of smoothness classes and operators,
Bissantz, Nicolai +3 more
core
A modified Tikhonov regularization method
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Yang, Xiao-Juan, Wang, Li
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In this paper, we study an inverse source problem for the Rayleigh–Stokes problem for a generalized second-grade fluid with a fractional derivative model. The problem is severely ill-posed in the sense of Hadamard. To regularize the unstable solution, we
T. Binh +4 more
semanticscholar +1 more source
Wavelet-Accelerated Tikhonov-Phillips Regularization with Applications [PDF]
Many technical and physical problems can be mathematically modeled by operator equations (1) of the first kind, $$Ax = y$$ , where x is the searched-for information under observed data y. We mention only a few typical examples: medical imaging, see e.g. [16, 20], and inverse scattering problems, see e.g. [6].
Rieder, A., Maaß, P.
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To 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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On a Level-Set Method for Ill-Posed Problems with Piecewise Nonconstant Coefficients
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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A PROPOSAL FOR REGULARIZED INVERSION FOR AN ILL-CONDITIONED DECONVOLUTION OPERATOR
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
doaj
Convergence of Tikhonov regularization for solving ill-posed operator equations with solutions defined on surfaces [PDF]
Guozhi Dong +3 more
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Load Identification Method Based on Interval Analysis and Tikhonov Regularization and Its Application [PDF]
Chunsheng Liu +2 more
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