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Titlebook: New Trends in Parameter Identification for Mathematical Models; Bernd Hofmann,Antonio Leit?o,Jorge P. Zubelli Book 2018 Springer Internati

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發(fā)表于 2025-3-21 16:49:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)New Trends in Parameter Identification for Mathematical Models
編輯Bernd Hofmann,Antonio Leit?o,Jorge P. Zubelli
視頻videohttp://file.papertrans.cn/667/666008/666008.mp4
概述Collection of lecture notes, written by experts in the field of inverse problems.Contributions present a perspective on the current research trends on selected research topics.Fosters the disciplinary
叢書(shū)名稱(chēng)Trends in Mathematics
圖書(shū)封面Titlebook: New Trends in Parameter Identification for Mathematical Models; Bernd Hofmann,Antonio Leit?o,Jorge P. Zubelli Book 2018 Springer Internati
描述The Proceedings volume contains 16 contributions to the IMPA conference “New Trends in Parameter Identification for Mathematical Models”, Rio de Janeiro, Oct 30 – Nov 3, 2017, integrating the “Chemnitz Symposium on Inverse Problems on Tour”.? This conference is part of the “Thematic Program on Parameter Identification in Mathematical Models” organized? at IMPA in October and November 2017. One goal is to foster the scientific collaboration between mathematicians and engineers from the Brazialian, European and Asian communities. Main topics are iterative and variational regularization methods in Hilbert and Banach spaces for the stable approximate solution of ill-posed inverse problems, novel methods for parameter identification in partial differential equations, problems of tomography ,? solution of coupled conduction-radiation problems at high temperatures, and the statistical solution of inverse problems with applications in physics..
出版日期Book 2018
關(guān)鍵詞parameter identification; inverse problems; ill-posed problems; regularization; tomography; partial diffe
版次1
doihttps://doi.org/10.1007/978-3-319-70824-9
isbn_softcover978-3-319-88998-6
isbn_ebook978-3-319-70824-9Series ISSN 2297-0215 Series E-ISSN 2297-024X
issn_series 2297-0215
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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Convex Regularization of Discrete-Valued Inverse Problems,This property can be promoted in Tikhonov regularization with the aid of a suitable convex but nondifferentiable regularization term. This allows applying standard approaches to show well-posedness and convergence rates in Bregman distance. Using the specific properties of the regularization term, i
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On ,,-Regularization Under Continuity of the Forward Operator in Weaker Topologies,rsion of Tikhonov regularization. We summarize recent results on situations where the sparsity of the solution slightly fails. In particular, we show how the recently established theory for weak*-to-weak continuous linear forward operators can be extended to the case of weak*-to-weak* continuity. Th
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An SVD in Spherical Surface Wave Tomography,ion of the Funk–Radon transform, which assigns to a function its integrals along full great circles. We show a singular value decomposition (SVD) for the surface wave tomography provided we have full data..Since the inversion problem is overdetermined, we consider some special cases in which we only
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發(fā)表于 2025-3-23 00:40:28 | 只看該作者
Numerical Studies of Recovery Chances for a Simplified EIT Problem,mall number of material ‘stripes’ of varying conductivity. The goal of this paper is to evaluate the chances of identifying the conductivity values of each stripe from rotating measurements of potential differences. This setting comes from an engineering background, where the used EIT model is explo
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