標題: Titlebook: Anomaly Detection in Random Heterogeneous Media; Feynman-Kac Formulae Martin Simon Book 2015 Springer Fachmedien Wiesbaden 2015 Calderón’s [打印本頁] 作者: 使委屈 時間: 2025-3-21 17:39
書目名稱Anomaly Detection in Random Heterogeneous Media影響因子(影響力)
書目名稱Anomaly Detection in Random Heterogeneous Media影響因子(影響力)學科排名
書目名稱Anomaly Detection in Random Heterogeneous Media網(wǎng)絡(luò)公開度
書目名稱Anomaly Detection in Random Heterogeneous Media網(wǎng)絡(luò)公開度學科排名
書目名稱Anomaly Detection in Random Heterogeneous Media被引頻次
書目名稱Anomaly Detection in Random Heterogeneous Media被引頻次學科排名
書目名稱Anomaly Detection in Random Heterogeneous Media年度引用
書目名稱Anomaly Detection in Random Heterogeneous Media年度引用學科排名
書目名稱Anomaly Detection in Random Heterogeneous Media讀者反饋
書目名稱Anomaly Detection in Random Heterogeneous Media讀者反饋學科排名
作者: 無法解釋 時間: 2025-3-21 22:26 作者: exorbitant 時間: 2025-3-22 04:03
https://doi.org/10.1007/978-3-642-58393-3ed on the first stage results is defined and the resulting posterior distribution is sampled via Markov chain Monte Carlo. We provide the theoretical foundation of the proposed method, discuss different aspects of a numerical implementation and present numerical experiments to support our findings.作者: 有助于 時間: 2025-3-22 05:17
Stochastic homogenization: Theory and numericsato, Kim and Cule [159]. From a mathematical point of view, the novelty of the proposed method lies in the fact that it is based on the aforementioned stochastic homogenization result, that is, on simulation of the underlying diffusion process rather than on the usual discretization of the so-called ..作者: interlude 時間: 2025-3-22 12:18
Statistical inversioned on the first stage results is defined and the resulting posterior distribution is sampled via Markov chain Monte Carlo. We provide the theoretical foundation of the proposed method, discuss different aspects of a numerical implementation and present numerical experiments to support our findings.作者: GEST 時間: 2025-3-22 12:53
and numerical solution of a stochastic inverse anomaly detection problem in electrical impedance tomography (EIT). Martin Simon studies the problem of detecting a parameterized anomaly in an isotropic, stationary and ergodic conductivity random field whose realizations are rapidly oscillating. For 作者: 有常識 時間: 2025-3-22 19:14
Barbara Ruttmann,Karl Solchenbachontrast to this well-studied situation, the underlying reflecting diffusion processes in this work are constructed via Dirichlet form theory, which has emerged as a powerful tool when it comes to studying boundary value problems with non-smooth coefficients, boundaries and data.作者: 遍及 時間: 2025-3-22 22:33 作者: chemical-peel 時間: 2025-3-23 03:44
Book 2015phy (EIT). Martin Simon studies the problem of detecting a parameterized anomaly in an isotropic, stationary and ergodic conductivity random field whose realizations are rapidly oscillating. For this purpose, he derives Feynman-Kac formulae to rigorously justify stochastic homogenization in the case作者: Bucket 時間: 2025-3-23 08:54 作者: Contort 時間: 2025-3-23 10:33 作者: Osteoarthritis 時間: 2025-3-23 16:37 作者: 淺灘 時間: 2025-3-23 21:51
https://doi.org/10.1007/978-3-658-10993-6Calderón’s inverse conductivity problem; EIT; applied probability theory; electrical impedance tomograp作者: 手段 時間: 2025-3-24 01:35
978-3-658-10992-9Springer Fachmedien Wiesbaden 2015作者: affinity 時間: 2025-3-24 04:47
Barbara Ruttmann,Karl SolchenbachIn this introductory chapter, we shall briefly introduce the mathematical setting of the thesis. More precisely, we recall the well-known deterministic formulations of both the forward and the inverse problem of EIT. Afterwards, we introduce a new . EIT anomaly detection problem which has not been studied in the literature so far.作者: 爭吵 時間: 2025-3-24 10:28 作者: Audiometry 時間: 2025-3-24 12:59 作者: crutch 時間: 2025-3-24 17:26 作者: Aura231 時間: 2025-3-24 22:24
Barbara Ruttmann,Karl Solchenbach] by Piiroinen and the author: We derive . in terms of these processes for the solutions to the forward problems corresponding to the continuum model and the complete electrode model, respectively. These results extend the classical Feynman-Kac formulae for elliptic boundary value problems in smooth作者: 卡死偷電 時間: 2025-3-25 01:08 作者: motivate 時間: 2025-3-25 06:25
https://doi.org/10.1007/978-3-642-58393-3continuum micro-scale Monte Carlo method developed in the previous chapter serves as the basis for a two-stage numerical method in the framework of Bayesian inverse problems. The novelty of this method lies in the introduction of an enhanced error model accounting for the approximation errors that r作者: Mangle 時間: 2025-3-25 08:07 作者: 證實 時間: 2025-3-25 15:20
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