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An introduction to scientific computing with MATLAB and Python tutorials /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An introduction to scientific computing with MATLAB and Python tutorials /Sheng Xu.
作者:	Xu, Sheng,
面頁冊數:	xv, 381 pages :illustrations ;25 cm
標題:	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 /
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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.
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