| 书目名称 | Mathematical Modeling | | 副标题 | A Dynamical Systems | | 编辑 | Antonio Palacios | | 视频video | | | 概述 | Develops qualitative and quantitative methods to derive and solve mathematical models.Covers a broad range of unique and interdisciplinary problems and examples.Includes results from experiments that | | 丛书名称 | Mathematical Engineering | | 图书封面 |  | | 描述 | .This book provides qualitative and quantitative methods to analyze and better understand phenomena that change in space and time. An innovative approach is to incorporate ideas and methods from dynamical systems and equivariant bifurcation theory to model, analyze and predict the behavior of mathematical models. In addition, real-life data is incorporated in the derivation of certain models. For instance, the model for a fluxgate magnetometer includes experiments in support of the model...The book is intended for interdisciplinary scientists in STEM fields, who might be interested in learning the skills to derive a mathematical representation for explaining the evolution of a real system. Overall, the book could be adapted in undergraduate- and postgraduate-level courses, with students from various STEM fields, including: mathematics, physics, engineering and biology.. | | 出版日期 | Textbook 2022 | | 关键词 | Models; Dynamical Systems Theory; STEM Problems; Qualitative Methods; Model Reduction | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-04729-9 | | isbn_softcover | 978-3-031-04731-2 | | isbn_ebook | 978-3-031-04729-9Series ISSN 2192-4732 Series E-ISSN 2192-4740 | | issn_series | 2192-4732 | | 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 20:04:06
