| 书目名称 | Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators | | 副标题 | RAMSES | | 编辑 | Gianluigi Rozza,Giovanni Stabile,Marta D‘Elia | | 视频video | | | 概述 | Provides guidelines for the most promising approaches for near-future research.Synergistic exchanges between the mathematics and data science communities.Latest knowledge and results on emerging topic | | 丛书名称 | Lecture Notes in Computational Science and Engineering | | 图书封面 |  | | 描述 | .This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional parameter spaces.. .The book is a valuable resource for researchers, as well as masters and Ph.D students.. | | 出版日期 | Book 2024 | | 关键词 | Model order reduction; Machine learning; Approximation of PDEs; Surrogates; Emulators; Simulators | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-55060-7 | | isbn_softcover | 978-3-031-55062-1 | | isbn_ebook | 978-3-031-55060-7Series ISSN 1439-7358 Series E-ISSN 2197-7100 | | issn_series | 1439-7358 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:30:24
