| 期刊全称 | Automatic Differentiation of Algorithms | | 期刊简称 | From Simulation to O | | 影响因子2023 | George Corliss,Christèle Faure,Uwe Naumann | | 视频video | | | 图书封面 |  | | 影响因子 | 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. | | Pindex | Book 2002 |
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发表于 2025-3-21 16:14:09
