Results 81 to 90 of about 208,745 (278)
Nano Select, EarlyView.In moderately hole‐doped Sr1−xKxFe2As2${\rm Sr}_{1-x}{\rm K}_x{\rm Fe}_2{\rm As}_2$ system the pairing state is s+−${\rm s}^{+-}$ wave pairing state mediated by spin fluctuations. As the SDW order parameter increases, TC${\rm T}_C$ decreases and TM${\rm T}_M$ increases. As temperature increases, the SDW order parameter decreases and vanishes at TM${\rm
Gedefaw Mebratie +2 more
wiley +1 more source
A stabilized algorithm for multi-dimensional numerical differentiation
Journal of Algorithms & Computational Technology, 2016 We develop a multi-dimensional numerical differentiation method in this paper. To obtain stable numerical derivatives, the Tikhonov regularization method in Hilbert scales is proposed to deal with illposedness of the problem. The penalty term in Tikhonov
Zhenyu Zhao +4 more
doaj +1 more source
Optimal convergence rates for sparsity promoting wavelet-regularization in Besov spaces
, 2018 This paper deals with Tikhonov regularization for linear and nonlinear ill-posed operator equations with wavelet Besov norm penalties. We focus on $B^0_{p,1}$ penalty terms which yield estimators that are sparse with respect to a wavelet frame.
Hohage, Thorsten, Miller, Philip
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
IEEE Access, 2020 Ultrasound computed tomography (USCT) is a promising technique for breast imaging. It provides three modalities: echo image, sound speed image (SSI), and attenuation image.
Zisheng Yao +3 more
doaj +1 more source
On an unsupervised method for parameter selection for the elastic net
Mathematics in Engineering, 2022 Despite recent advances in regularization theory, the issue of parameter selection still remains a challenge for most applications. In a recent work the framework of statistical learning was used to approximate the optimal Tikhonov regularization ...
Zeljko Kereta, Valeriya Naumova
doaj +1 more source
Necessary conditions for variational regularization schemes
, 2013 We study variational regularization methods in a general framework, more precisely those methods that use a discrepancy and a regularization functional.
Bakushinskii˘ A B +25 more
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The Tikhonov regularization method in elastoplasticity
Applied Mathematical Modelling, 2012 The numeric simulation of the mechanical behaviour of industrial materials is widely used in the companies for viability verification, improvement and optimization of designs. The eslastoplastic models have been used for forecast of the mechanical behaviour of materials of the most several natures (see [1]).
Azikri de Deus, Hilbeth P. +3 more
openaire +3 more sources
Demonstration of a family of X‐ray dark‐field retrieval approaches on a common set of samples
Journal of Synchrotron Radiation, EarlyView.This study aims to guide users of dark‐field imaging in selecting the most suitable technique for their imaging goals. To this end, we provide a summary table and highlight opportunities for future research into the sources of dark‐field contrast across emerging methods.There are various imaging setups capable of capturing dark‐field images, each with ...
Samantha J. Alloo +5 more
wiley +1 more source
Regularization based on all-at-once formulations for inverse problems
, 2016 Parameter identification problems typically consist of a model equation, e.g. a (system of) ordinary or partial differential equation(s), and the observation equation.
Kaltenbacher, Barbara
core +1 more source