Results 51 to 60 of about 101,252 (223)
General Tikhonov Regularization with Applications in Geoscience
CSIAM Transactions on Applied Mathematics, 2020 Summary: The article is devoted to a review of the following new elements of the modern theory of solving inverse problems: (a) general theory of Tikhonov's regularization with practical examples is considered; (b) an overview of a-priori and a-posteriori error estimates for solutions of ill-posed problems is presented as well as a general scheme of a ...
Wang, Yanfei +3 more
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Tikhonov Regularization within Ensemble Kalman Inversion [PDF]
SIAM Journal on Numerical Analysis, 2020 Ensemble Kalman inversion is a parallelizable methodology for solving inverse or parameter estimation problems. Although it is based on ideas from Kalman filtering, it may be viewed as a derivative-free optimization method. In its most basic form it regularizes ill-posed inverse problems through the subspace property: the solution found is in the ...
Neil K. Chada +2 more
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Tikhonov type regularization for unbounded operators
Ratio Mathematica, 2021 In this paper, we introduce a Tikhonov type regularization method for an ill-posed operator equation T x = y, where T is a closed densely defined unbounded operator on a Hilbert space H.
E Shine Lal, P Ramya
doaj +1 more source
Nonstationary Iterated Tikhonov Regularization
Journal of Optimization Theory and Applications, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Groetsch, Charles W., Hanke, Martin
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Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
, 2014 The stable solution of ill-posed non-linear operator equations in Banach space requires regularization. One important approach is based on Tikhonov regularization, in which case a one-parameter family of regularized solutions is obtained.
Anzengruber, Stephan W. +2 more
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Nanocrystalline LCO/LLZO Composite Cathode Films for Solid State Batteries
Advanced Energy Materials, EarlyView.A single precursor solution is solution‐deposited and calcined at only 750°C to yield a dense, nanograined LiCoO2/LLZO composite cathode, in which both phases crystallize independently with minimal interdiffusion. Assembled into all‐solid‐state Li‐metal batteries, the composite delivers 111.7 mAh g−1 initial discharge capacity and retains 93% after 100
Lucie Quincke +8 more
wiley +1 more source
Comparing parameter choice methods for regularization of ill-posed problems [PDF]
, 2011 In the literature on regularization, many different parameter choice methods have been proposed in both deterministic and stochastic settings. However, based on the available information, it is not always easy to know how well a particular method will ...
Bauer, F., Lukas, M.A.
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American Journal of Botany, EarlyView.Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate +4 more
wiley +1 more source
Asymptotic behaviour of the minimum bound method for choosing the regularization parameter [PDF]
, 1998 We consider a parameter choice method (called the minimum bound method) for regularization of linear ill-posed problems that was developed by Raus and Gfrerer for the case with continuous, deterministic data.
Lukas, M.A.
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