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Verlag: Springer New York, Springer New York, 2014
ISBN 10: 1461265436 ISBN 13: 9781461265436
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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In den WarenkorbZustand: New. 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.
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In den WarenkorbZustand: New. 2002. Hardcover. . . . . .
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In den WarenkorbZustand: New. pp. 464.
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In den WarenkorbZustand: New. 2014. Softcover reprint of the original 1st ed. 2002. paperback. . . . . .
Verlag: Springer New York Jan 2002, 2002
ISBN 10: 0387953051 ISBN 13: 9780387953052
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware - 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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In den WarenkorbPaperback. Zustand: Brand New. 459 pages. 9.30x6.20x1.00 inches. In Stock.
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In den WarenkorbZustand: New. 2014. Softcover reprint of the original 1st ed. 2002. paperback. . . . . . Books ship from the US and Ireland.
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Verlag: Springer-Verlag New York Inc., New York, NY, 2014
ISBN 10: 1461265436 ISBN 13: 9781461265436
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. 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 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. They cover the scientific programming aspects, such as the use of adjoints in optimization and the propagation of rounding errors. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Verlag: Springer-Verlag New York Inc., New York, NY, 2002
ISBN 10: 0387953051 ISBN 13: 9780387953052
Sprache: Englisch
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EUR 61,84
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In den WarenkorbHardcover. 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.