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Titlebook: Elementary Numerical Mathematics for Programmers and Engineers; Gisbert Stoyan,Agnes Baran Textbook 20161st edition Springer International

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發(fā)表于 2025-3-21 19:48:35 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Elementary Numerical Mathematics for Programmers and Engineers
編輯Gisbert Stoyan,Agnes Baran
視頻videohttp://file.papertrans.cn/308/307401/307401.mp4
概述Covers the basics of numerical methods, while avoiding the definition-theorem-proof style.Includes exercises in MATLAB.Provides numerical examples in order to promote reader comprehension.Presents mat
叢書名稱Compact Textbooks in Mathematics
圖書封面Titlebook: Elementary Numerical Mathematics for Programmers and Engineers; Gisbert Stoyan,Agnes Baran Textbook 20161st edition Springer International
描述.This book covers the basics of numerical methods, while avoiding the definition-theorem-proof style and instead focusing on numerical? examples and simple pseudo-codes..The book is divided into ten chapters. Starting with floating number calculations and continuing up to ordinary differential equations, including "Euler backwards". The final chapter discusses practical error estimations. Exercises (including several in MATLAB) are provided at the end of each chapter. Suitable for readers with minimal mathematical knowledge, the book not only offers an elementary introduction to numerical mathematics for programmers and engineers but also provides supporting material for students and teachers of mathematics..
出版日期Textbook 20161st edition
關(guān)鍵詞65-01, 65-04; numerical analysis; Gaussian elimination; least squares; eigenvalue problems; interpolation
版次1
doihttps://doi.org/10.1007/978-3-319-44660-8
isbn_ebook978-3-319-44660-8Series ISSN 2296-4568 Series E-ISSN 2296-455X
issn_series 2296-4568
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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https://doi.org/10.1007/978-3-319-51421-5errors. Hence, in this chapter we study the magnitude of the error in the vector . caused by errors in . and .. As a result of this examination we will understand the following: on what does it depend that on a given computer a linear system with a given error can be solved with an acceptable error, or not?
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Interpolation, function . only for some values . and after that to connect—interpolate—smoothly in some way the obtained .-values, using a method requiring significantly fewer operations. Then we have to be aware that the price of the decreased cost is the following: moving away from the exact values we obtain the value of .(.) with an increasing error.
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發(fā)表于 2025-3-23 05:13:36 | 只看該作者
Practical Error Estimation, code emphasizes its superiority and shows a lot of convincing figures, but says nothing about the reliability and accuracy. Of course the license sells the software “as is” and expressly disclaims any warranties.
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Textbook 20161st editionimple pseudo-codes..The book is divided into ten chapters. Starting with floating number calculations and continuing up to ordinary differential equations, including "Euler backwards". The final chapter discusses practical error estimations. Exercises (including several in MATLAB) are provided at th
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