Results 71 to 80 of about 7,882 (230)
Frontiers in Physiology, 2019 The electrocardiographic imaging (ECGI) inverse problem highly relies on adding constraints, a process called regularization, as the problem is ill-posed.
Judit Chamorro-Servent +9 more
doaj +1 more source
Lanc-FP: um algoritmo para problemas discretos mal-postos de grande porte [PDF]
, 2009 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas. Programa de Pós-Graduação em Matemática e Computação Científica.Problemas discretos mal-postos precisam ser regularizados para serem resolvidos ...
Borges, Leonardo Silveira
core
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
openaire +3 more sources
InfoScience, EarlyView.Traditional light‐analyzing tools, known as spectrometers, are typically too bulky and expensive to fit into portable electronics like smartphones or wearables. In this study, we developed a microscopic, high‐performance spectrometer using a material called Indium Selenide combined with smart algorithms to accurately analyze light from the visible to ...
Jing Chen +8 more
wiley +1 more source
3D Surface Profiling via Direct End‐to‐End Regression With a Photonic Geometric Sensor
Laser &Photonics Reviews, EarlyView.Measurements of microscale surface patterns are essential for quality control across semiconductor and biomedical industries, yet the development of miniaturized, intelligent systems remains constrained by the complexity and bulkiness of conventional benchtop metrology.
Ziyao Zhang +13 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
A Multipath Error Reduction Method for BDS Using Tikhonov Regularization with Parameter Optimization
Remote Sensing, 2023 Multipath error is an important factor restricting the relative positioning accuracy of the Beidou Navigation Satellite System (BDS). Because of the complexity of the reflection environment, the mathematical modeling of multipath errors is quite ...
Xinzhong Li +5 more
doaj +1 more source
Estratégias de detecção de objetos baseadas num problema inverso de espalhamento e regularização [PDF]
, 2012 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas, Programa de Pós-Graduação em Matemática e Computação Científica, Florianópolis, 2011O problema inverso de espalhamento aqui considerado é ...
Pedroso, Viviam Giacomelli
core
Temperature dependence of relaxation spectra for highly hydrated gluten networks
, 2010 In the present investigation, the temperature dependence (0e50 C) of the relaxation spectrum of hydrated gluten was studied using novel numerical algorithms. Tikhonov regularization, in conjunction with the L-curve criterion for optimal calculation of
Kasapis, Stefan, Kontogiorgos, Vassilis
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Fractional Tikhonov regularization with a nonlinear penalty term [PDF]
, 2017 Tikhonov regularization is one of the most popular methods for solving linear systems of equations or linear least-squares problems with a severely ill-conditioned matrix and an error-contaminated data vector (right-hand side).
Fiorella Sgallari +5 more
core +1 more source