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Titlebook: Applied Mathematics and Modelling in Finance, Marketing and Economics; Said Melliani,Oscar Castillo,Abdelmajid El Hajaji Book 2024 The Edi

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樓主: whiplash
21#
發(fā)表于 2025-3-25 04:09:49 | 只看該作者
Inverse Problem of 2D Lung Electrical Impedance Tomography,tes the electrical conductivity distribution in a domain. In this study, the conductivity is reconstructed from boundary voltage measurements by using a reconstructing algorithm known as the forward problem. Simultaneously, the image reconstruction can be obtained using the inverse problem to detect regional lung ventilation.
22#
發(fā)表于 2025-3-25 07:55:36 | 只看該作者
,On Local and?Global Bisection-Type Mesh Refinements in?C Programming Language,gramming language. The proposed refinement algorithms are based on a bisection-type method which produces nested refinements of the triangulation. The algorithms are short, easy to understand and modify, moreover they can be easily integrated in a FEM C program.
23#
發(fā)表于 2025-3-25 13:57:07 | 只看該作者
24#
發(fā)表于 2025-3-25 18:51:32 | 只看該作者
25#
發(fā)表于 2025-3-25 20:16:10 | 只看該作者
26#
發(fā)表于 2025-3-26 02:07:22 | 只看該作者
Studies in Computational Intelligencehttp://image.papertrans.cn/a/image/159935.jpg
27#
發(fā)表于 2025-3-26 06:18:55 | 只看該作者
Applied Mathematics and Modelling in Finance, Marketing and Economics978-3-031-42847-0Series ISSN 1860-949X Series E-ISSN 1860-9503
28#
發(fā)表于 2025-3-26 10:53:50 | 只看該作者
29#
發(fā)表于 2025-3-26 14:47:37 | 只看該作者
https://doi.org/10.1007/b138945o be reconstructed on the fixed boundary. The inverse problem is ill-posed for small errors in the input measured data can cause high deviations in solution. Therefore, we incorporate Tikhonov regularization to obtain a stable solution. Numerical results are presented.
30#
發(fā)表于 2025-3-26 17:24:37 | 只看該作者
Entscheidungskriterien bei RisikoLet . be a positive integer and let . denote the algebra of all complex .-by-. matrices. A matrix . is called quadratic if it satisfies some non-trivial quadratic equation ., where . denotes the . identity matrix. In this paper, we give an explicit formula for the maximal numerical range of quadratic matrices.
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