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An introduction to scientific computing with Matlab and Python tutorials

Record Type:	Electronic resources : Monograph/item
Title/Author:	An introduction to scientific computing with Matlab and Python tutorialsSheng Xu.
Author:	Xu, Sheng,
Published:	Boca Raton, FL :CRC Press,2022.
Description:	1 online resource.
Subject:	Numerical analysisData processing.
Online resource:	https://www.taylorfrancis.com/books/9781003201694
ISBN:	9781003201694$q(electronic bk.)

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

An introduction to scientific computing with Matlab and Python tutorials[electronic resource] /Sheng Xu. - 1st ed. - Boca Raton, FL :CRC Press,2022. - 1 online resource.

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: 9781003201694$q(electronic bk.)

LCCN: 2022017959Subjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

182727
Numerical analysis
--Data processing.

LC Class. No.: QA297

Dewey Class. No.: 518.0285/5133

An introduction to scientific computing with Matlab and Python tutorials
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020 $z 9781032063188$q(paperback)
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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 $h [electronic resource] / $c Sheng Xu.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2022.
300 $a 1 online resource.
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.
588 $a Description based on print version record.
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
856 4 0 $u https://www.taylorfrancis.com/books/9781003201694