Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation

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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation

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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation

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描述

Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation

A comprehensive treatment of algorithmic or automatic differentiation for designers of algorithms and software for nonlinear computational problems users of current numerical software mathematicians and engineers. This second edition has been updated and expanded to cover recent developments in applications and theory.
  • 品牌: Society for Industrial & Applied Mathematics,U.S
  • 类别: 教育
  • 语言: English
  • 作者: Andreas Griewank (Humboldt-Universitat zu Berlin)
  • 出版日期: 2023-08-15
  • 页数: 460
  • 出版社／标签: Society for Industrial & Applied Mathematics,U.S
  • 格式: Paperback
  • Fruugo ID: 437593830-916978757
  • ISBN: 9780898716597

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