Numerical analysis and scientific computation

著者

    • Leader, Jeffery J.

書誌事項

Numerical analysis and scientific computation

Jeffery J. Leader

(Textbooks in mathematics)(A Chapman & Hall book)

CRC Press, 2022

2nd ed

  • : hbk

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注記

"First edition published by Pearson 2004"--T.p. verso

Includes bibliographical references and index

内容説明・目次

内容説明

This is an introductory single-term numerical analysis text with a modern scientific computing flavor. It offers an immediate immersion in numerical methods featuring an up-to-date approach to computational matrix algebra and an emphasis on methods used in actual software packages, always highlighting how hardware concerns can impact the choice of algorithm. It fills the need for a text that is mathematical enough for a numerical analysis course yet applied enough for students of science and engineering taking it with practical need in mind. The standard methods of numerical analysis are rigorously derived with results stated carefully and many proven. But while this is the focus, topics such as parallel implementations, the Basic Linear Algebra Subroutines, halfto quadruple-precision computing, and other practical matters are frequently discussed as well. Prior computing experience is not assumed. Optional MATLAB subsections for each section provide a comprehensive self-taught tutorial and also allow students to engage in numerical experiments with the methods they have just read about. The text may also be used with other computing environments. This new edition offers a complete and thorough update. Parallel approaches, emerging hardware capabilities, computational modeling, and data science are given greater weight.

目次

1. Nonlinear Equations 2. Linear Systems 4. Polynomial Interpolation 5. Numerical Integration 6. Differential Equations 7. Nonlinear Optimization

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詳細情報

  • NII書誌ID(NCID)
    BD00668539
  • ISBN
    • 9780367486860
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Boca Raton
  • ページ数/冊数
    xviii, 564 p.
  • 大きさ
    27 cm
  • 分類
  • 件名
  • 親書誌ID
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