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Titlebook: Essentials of Applied Mathematics for Scientists and Engineers; Robert G. Watts Book 2008 Springer Nature Switzerland AG 2008

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發(fā)表于 2025-3-21 19:10:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Essentials of Applied Mathematics for Scientists and Engineers
編輯Robert G. Watts
視頻videohttp://file.papertrans.cn/316/315593/315593.mp4
叢書名稱Synthesis Lectures on Engineering, Science, and Technology
圖書封面Titlebook: Essentials of Applied Mathematics for Scientists and Engineers;  Robert G. Watts Book 2008 Springer Nature Switzerland AG 2008
描述This is a book about linear partial differential equations that are common in engineering and the physical sciences. It will be useful to graduate students and advanced undergraduates in all engineering fields as well as students of physics, chemistry, geophysics and other physical sciences and professional engineers who wish to learn about how advanced mathematics can be used in their professions. The reader will learn about applications to heat transfer, fluid flow, and mechanical vibrations. The book is written in such a way that solution methods and application to physical problems are emphasized. There are many examples presented in detail and fully explained in their relation to the real world. References to suggested further reading are included. The topics that are covered include classical separation of variables and orthogonal functions, Laplace transforms, complex variables, and Sturm-Liouville transforms.
出版日期Book 2008
版次1
doihttps://doi.org/10.1007/978-3-031-79300-4
isbn_ebook978-3-031-79300-4Series ISSN 2690-0300 Series E-ISSN 2690-0327
issn_series 2690-0300
copyrightSpringer Nature Switzerland AG 2008
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Solutions with Laplace Transforms,ons and diffusion are presented along with the details of the inversion method.In this chapter, we present detailed solutions of some boundary value problems using the Laplace transform method. Problems in both mechanical vibrations and diffusion are presented along with the details of the inversion
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Integral Transforms: The Laplace Transform,tion . (.) of some independent variable . (not necessarily time) by a Kernel function .(. ) and integrate over some . space to obtain a function .(.) of . which one hopes is easier to solve. Of course one must then inverse the process to find the desired function . (.).
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Springer Nature Switzerland AG 2008
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Essentials of Applied Mathematics for Scientists and Engineers978-3-031-79300-4Series ISSN 2690-0300 Series E-ISSN 2690-0327
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