國立高雄大學圖資館 |

Language: English

Back

An introduction to scientific computing with MATLAB and Python tutorials /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An introduction to scientific computing with MATLAB and Python tutorials /Sheng Xu.
Author:	Xu, Sheng,
Description:	xv, 381 pages :illustrations ;25 cm
Subject:	Numerical analysisData processing.
ISBN:	9781032063157

An introduction to scientific computing with MATLAB and Python tutorials /
Xu, Sheng,1973-

An introduction to scientific computing with MATLAB and Python tutorials /Sheng Xu. - First edition. - xv, 381 pages :illustrations ;25 cm

Includes bibliographical references and index.

"This textbook is written for the first introductory course on scientific computing. It covers elementary numerical methods for linear systems, root finding, interpolation, numerical integration, numerical differentiation, least squares problems, initial value problems and boundary value problems. It includes short Matlab and Python tutorials to quickly get students started on programming. It makes the connection between elementary numerical methods with advanced topics such as machine learning and parallel computing. This textbook gives a comprehensive and in-depth treatment of elementary numerical methods. It balances the development, implementation, analysis and application of a fundamental numerical method by addressing the following questions. Where is the method applied? How is the method developed? How is the method implemented? How well does the method work? The material in the textbook is made as self-contained and easy-to-follow as possible with reviews and remarks. The writing is kept concise and precise. Examples, figures, paper-and-pen exercises and programming problems are deigned to reinforce understanding of numerical methods and problem-solving skills"--

ISBN: 9781032063157

LCCN: 2022017958Subjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

182727
Numerical analysis
--Data processing.

LC Class. No.: QA297 / .X835 2022

Dewey Class. No.: 518.0285/5133

An introduction to scientific computing with MATLAB and Python tutorials /
LDR:02720nam a2200409 a 4500 001 616697
003 OCoLC
005 20221006041251.0
008 221006t20222022flua b 001 0 eng
010 $a 2022017958
019 $a 1288195995 $a 1288319498
020 $a 9781032063157 $q hardcover
020 $a 1032063157 $q hardcover
020 $a 9781032063188 $q paperback
020 $a 1032063181 $q paperback
020 $z 9781003201694 $q electronic book
026 8 5 $a cam 2200397 i 4500
035 $a (OCoLC)1288274726 $z (OCoLC)1288195995 $z (OCoLC)1288319498
035 $a on1288274726
040 $a DLC $b eng $e rda $c DLC $d OCLCF $d YDX
042 $a pcc
049 $a NUKM
050 0 0 $a QA297 $b .X835 2022
082 0 0 $a 518.0285/5133 $2 23/eng20220722
100 1 $a Xu, Sheng, $d 1973- $e author. $3 916269
245 1 3 $a An introduction to scientific computing with MATLAB and Python tutorials / $c Sheng Xu.
250 $a First edition.
264 1 $a Boca Raton : $b CRC Press, Taylor & Francis Group, $c 2022.
264 4 $c ©2022
300 $a xv, 381 pages : $b illustrations ; $c 25 cm
336 $a text $b txt $2 rdacontent
337 $a unmediated $b n $2 rdamedia
338 $a volume $b nc $2 rdacarrier
504 $a Includes bibliographical references and index.
520 $a "This textbook is written for the first introductory course on scientific computing. It covers elementary numerical methods for linear systems, root finding, interpolation, numerical integration, numerical differentiation, least squares problems, initial value problems and boundary value problems. It includes short Matlab and Python tutorials to quickly get students started on programming. It makes the connection between elementary numerical methods with advanced topics such as machine learning and parallel computing. This textbook gives a comprehensive and in-depth treatment of elementary numerical methods. It balances the development, implementation, analysis and application of a fundamental numerical method by addressing the following questions. Where is the method applied? How is the method developed? How is the method implemented? How well does the method work? The material in the textbook is made as self-contained and easy-to-follow as possible with reviews and remarks. The writing is kept concise and precise. Examples, figures, paper-and-pen exercises and programming problems are deigned to reinforce understanding of numerical methods and problem-solving skills"-- $c Provided by publisher.
630 0 0 $a MATLAB. $3 181993
650 0 $a Numerical analysis $x Data processing. $3 182727
650 0 $a Python (Computer program language) $3 215247
776 0 8 $i Online version: $a Xu, Sheng. $t Introduction to scientific computing with matlab� and python tutorials $b 1. $d Boca Raton : Chapman & Hall, CRC Press, 2022 $z 9781003201694 $w (DLC) 2022017959
938 $a Brodart $b BROD $n 131405810
938 $a YBP Library Services $b YANK $n 17760980
994 $a C0 $b TWNUK