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A survey book focusing on the key relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and parallelizers, as well as their applications. The key objective is to survey the field and present the recent developments. In doing so the topics covered shed light on a variety of perspectives. They reflect the mathematical aspects, such as the differentiation of iterative processes, and the analysis of nonsmooth code. They cover the scientific programming aspects, such as the use of adjoints in optimization and the propagation of rounding errors. They also cover "implementation" problems.
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A survey book focusing on the key relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and parallelizers, as well as their applications. The key objective is to survey the field and present the recent developments. In doing so the topics covered shed light on a variety of perspectives. They reflect the mathematical aspects, such as the differentiation of iterative processes, and the analysis of nonsmooth code. They cover the scientific programming aspects, such as the use of adjoints in optimization and the propagation of rounding errors. They also cover "implementation" problems.
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Automatic Differentiation Of Algorithms: From Simulation To Optimization
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Automatic Differentiation Of Algorithms: From Simulation To Optimization
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Automatic Differentiation Of Algorithms: From Simulation To Optimization
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Automatic Differentiation Of Algorithms
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Automatic Differentiation Of Algorithms
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Automatic Differentiation of Algorithms: From Simulation to Optimization
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Automatic Differentiation of Algorithms (Hardcover)
Verlag:
Springer-Verlag New York Inc., New York, NY, 2002
ISBN 10: 0387953051
ISBN 13: 9780387953052
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Hardcover. Zustand: new. Hardcover. 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. A survey book focusing upon the key applications and relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and parallelizers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780387953052
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Automatic Differentiation of Algorithms: From Simulation to Optimization
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Automatic Differentiation of Algorithms: From Simulation to Optimization
Verlag:
Springer-Verlag New York Inc., 2002
ISBN 10: 0387953051
ISBN 13: 9780387953052
Neu
Hardcover
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Automatic Differentiation of Algorithms: From Simulation to Optimization
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Hardcover. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_425770270
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