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    3. Automatic Differentiation of Algorithms: From Simulation to Optimization

    Automatic Differentiation of Algorithms: From Simulation to Optimization

    Posted By: AvaxGenius
    Date: 21 Feb 2022 22:39:26
    Automatic Differentiation of Algorithms: From Simulation to Optimization

    Automatic Differentiation of Algorithms: From Simulation to Optimization by George Corliss
    English | PDF | 2002 | 431 Pages | ISBN : 0387953051 | 38.7 MB

    Automatic Differentiation (AD) is a maturing computational technology and has become a mainstream tool used by practicing scientists and computer engineers. The rapid advance of hardware computing power and AD tools has enabled practitioners to quickly generate derivative-enhanced versions of their code for a broad range of applications in applied research and development.
    Automatic Differentiation of Algorithms provides a comprehensive and authoritative survey of all recent developments, new techniques, and tools for AD use. The book covers all aspects of the subject: mathematics, scientific programming (i.e., use of adjoints in optimization) and implementation (i.e., memory management problems). A strong theme of the book is the relationships between AD tools and other software tools, such as compilers and parallelizers. A rich variety of significant applications are presented as well, including optimum-shape design problems, for which AD offers more efficient tools and techniques.
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