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Numerical Analysis Using Sage / by George A. Anastassiou, Razvan A. Mezei
(Springer Undergraduate Texts in Mathematics and Technology. ISSN:18675514)

1st ed. 2015.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2015
本文言語 英語
大きさ XII, 314 p. 104 illus., 102 illus. in color : online resource
著者標目 *Anastassiou, George A author
Mezei, Razvan A author
SpringerLink (Online service)
件 名 LCSH:Numerical analysis
LCSH:Computer software
FREE:Numerical Analysis
FREE:Mathematical Software
一般注記 Preface -- 1. Fundamentals -- 2. Solving Nonlinear Equations -- 3. Polynomial Interpolation -- 4.Numerical Differentiation -- 5. Numerical Integration -- 6. Spline Interpolation -- 7. Numerical Methods for Differential Equations -- References -- Index
This is the first numerical analysis text to use Sage for the implementation of algorithms and can be used in a one-semester course for undergraduates in mathematics, math education, computer science/information technology, engineering, and physical sciences. The primary aim of this text is to simplify understanding of the theories and ideas from a numerical analysis/numerical methods course via a modern programming language like Sage. Aside from the presentation of fundamental theoretical notions of numerical analysis throughout the text, each chapter concludes with several exercises that are oriented to real-world application.  Answers may be verified using Sage.  The presented code, written in core components of Sage, are backward compatible, i.e., easily applicable to other software systems such as Mathematica®.  Sage is  open source software and uses Python-like syntax. Previous Python programming experience is not a requirement for the reader, though familiaritywith any programming language is a plus.  Moreover, the code can be written using any web browser and is therefore useful with Laptops, Tablets, iPhones, Smartphones, etc.  All Sage code that is presented in the text is openly available on SpringerLink.com
HTTP:URL=https://doi.org/10.1007/978-3-319-16739-8
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Springer eBooks 9783319167398
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データ種別 電子ブック
分 類 LCC:QA297-299.4
DC23:518
書誌ID 4000115777
ISBN 9783319167398

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