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Titlebook: New Trends in the Applications of Differential Equations in Sciences; NTADES 2023, Saints Angela Slavova Conference proceedings 2024 The E

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發(fā)表于 2025-3-21 19:37:06 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱New Trends in the Applications of Differential Equations in Sciences
副標題NTADES 2023, Saints
編輯Angela Slavova
視頻videohttp://file.papertrans.cn/667/666030/666030.mp4
概述Provides solutions to industrial problems with a focus on real-world applications.Presents many computer simulations.Includes wide range of applications in fields like physics, biology, economics, and
叢書名稱Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: New Trends in the Applications of Differential Equations in Sciences; NTADES 2023, Saints Angela Slavova Conference proceedings 2024 The E
描述.This book convenes peer-reviewed, selected papers presented at the Tenth International Conference New Trends in the Applications of Differential Equations in Sciences (NTADES) held in Saints Constantine and Helena, Bulgaria, July 17–20, 2023. Contributions are devoted to many applications of differential equations in different fields of science. A number of phenomena in nature (physics, chemistry, biology) and in society (economics) result in problems leading to the study of linear and nonlinear differential equations, stochastic equations, statistics, analysis, numerical analysis, optimization, and more. The main topics are presented in the five parts of the book - applications in mathematical physics, mathematical biology, financial mathematics, neuroscience, and fractional analysis..In this volume, the reader will find a wide range of problems concerning recent achievements in both theoretical and applied mathematics. The main goal is to promote the exchange of new ideas and research between scientists, who develop and study differential equations, and researchers, who apply them to solve real-life problems. The book promotes basic research in mathematics leading to new methods
出版日期Conference proceedings 2024
關鍵詞numerical methods; mathematical physics; mathematical biology; fractional calculus; neural networks; neur
版次1
doihttps://doi.org/10.1007/978-3-031-53212-2
isbn_ebook978-3-031-53212-2Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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