株式会社極東書店トップ ＞ 商品一覧 ＞ Mathematical and Numerical Approaches for Multi-Wave Inverse Problems : CIRM, Marseille, France, April 1-5, 2019. 1st ed. 2020.
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Mathematical and Numerical Approaches for Multi-Wave Inverse Problems : CIRM, Marseille, France, April 1-5, 2019. 1st ed. 2020.
・ISBN 978-3-030-48633-4 hard EUR 99.99
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| 著者・編者 | Beilina, Larisa / Bergounioux, Maitine / Cristofol, Michel / Da Silva, Anabela / Litman, Amelie (eds.), |
|---|---|
| シリーズ | Springer Proceedings in Mathematics & Statistics |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 142 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-3464＞ |
解説
This proceedings volume gathers peer-reviewed, selected papers presented at the "Mathematical and Numerical Approaches for Multi-Wave Inverse Problems" conference at the Centre Internacional de Rencontres Mathematiques (CIRM) in Marseille, France, in April 2019. It brings the latest research into new, reliable theoretical approaches and numerical techniques for solving nonlinear and inverse problems arising in multi-wave and hybrid systems.
Multi-wave inverse problems have a wide range of applications in acoustics, electromagnetics, optics, medical imaging, and geophysics, to name but a few. In turn, it is well known that inverse problems are both nonlinear and ill-posed: two factors that pose major challenges for the development of new numerical methods for solving these problems, which are discussed in detail.
These papers will be of interest to all researchers and graduate students working in the fields of nonlinear and inverse problems and its applications.
Multi-wave inverse problems have a wide range of applications in acoustics, electromagnetics, optics, medical imaging, and geophysics, to name but a few. In turn, it is well known that inverse problems are both nonlinear and ill-posed: two factors that pose major challenges for the development of new numerical methods for solving these problems, which are discussed in detail.
These papers will be of interest to all researchers and graduate students working in the fields of nonlinear and inverse problems and its applications.