Description

Book Synopsis

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.

âWhere is the method applied?
âHow is the method developed?
âHow is the method implemented?
âHow 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.

An Introduction to Scientific Computing with

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    Order before 4pm today for delivery by Mon 8 Jun 2026.

    A Paperback by Sheng Xu

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      View other formats and editions of An Introduction to Scientific Computing with by Sheng Xu

      Publisher: CRC Press
      Publication Date: 8/26/2024
      ISBN13: 9781032063188, 978-1032063188
      ISBN10: 1032063181

      Description

      Book Synopsis

      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.

      âWhere is the method applied?
      âHow is the method developed?
      âHow is the method implemented?
      âHow 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.

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