| 书目名称 | Exercises in Applied Mathematics | | 副标题 | With a View toward I | | 编辑 | Daniel Alpay | | 视频video | | | 概述 | Prepares students for advanced study and research in the applied sciences.Presents the mathematical tools needed for machine learning, information theory, and other areas.Guides readers through hundre | | 丛书名称 | Chapman Mathematical Notes | | 图书封面 |  | | 描述 | This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections. It explores essential tools from linear algebra, elementary functional analysis, and probability theory in detail and demonstrates their applications in topics such as entropy, machine learning, error-correcting codes, and quantum channels. The theory of communication and signal theory are also in the background, and many exercises have been chosen from the theory of wavelets and machine learning. Exercises are selected from a number of different domains, both theoretical and more applied. Notes and other remarks provide motivation for the exercises, and hints and full solutions are given for many. For senior undergraduate and beginning graduate students majoring in mathematics, physics, or engineering, this text will serve as a valuable guide as theymove on to more advanced work.. | | 出版日期 | Textbook 2024 | | 关键词 | Information Theory; Machine Learning; Statistical Physics; Wavelets; Signal analysis | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-51822-5 | | isbn_softcover | 978-3-031-51824-9 | | isbn_ebook | 978-3-031-51822-5Series ISSN 3005-1509 Series E-ISSN 3005-1517 | | issn_series | 3005-1509 | | 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 17:09:40
