Shaun Forth (24 results)
Recent Advances in Algorithmic Differentiation
Forth, Shaun; Hovland, Paul; Phipps, Eric; Utke, Jean; Walther, Andrea (Editors)
Language: English
Published by Springer 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
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Condition: Near Fine. Hardcover, [xvii], 353 pages. Near Fine condition. Size 9.5"x6.25". "The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools . . . . In the AD tools arena new implementat…ions are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few." Book has very light exterior shelfwear, else As new, clean and unmarked.
Language: English
Published by Springer 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
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Language: English
Published by Springer 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
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Language: English
Published by Springer 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
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Condition: New. pp. 380.
Language: English
Published by Springer 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 380 | Sprache: Englisch | Produktart: Bücher | The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as wel…l as aspects of AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-AD experts. In the AD tools arena new implementations are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. In many cases the applications in a given area of science or engineering share characteristics that require specific approaches to enable AD capabilities or provide an opportunity for efficiency gains in the derivative computation. The description of these characteristics and of the techniques for successfully using AD should make the proceedings a valuable source of information for users of AD tools.
Language: English
Published by Springer 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
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Condition: New. pp. 380.
Language: English
Published by Springer Verlag 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
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Hardcover. Condition: Brand New. 2012 edition. 353 pages. 9.25x6.25x1.00 inches. In Stock.
More imagesLanguage: English
Published by Springer 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
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Taschenbuch. Condition: Neu. Recent Advances in Algorithmic Differentiation | Shaun Forth (u. a.) | Taschenbuch | Lecture Notes in Computational Science and Engineering | xviii | Englisch | 2014 | Springer | EAN 9783642439919 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[…dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer Berlin Heidelberg 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects o…f AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-AD experts. In the AD tools arena new implementations are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. In many cases the applications in a given area of science or engineering share characteristics that require specific approaches to enable AD capabilities or provide an opportunity for efficiency gains in the derivative computation. The description of these characteristics and of the techniques for successfully using AD should make the proceedings a valuable source of information for users of AD tools.
Language: English
Published by Springer Berlin Heidelberg 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD th…eory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-AD experts. In the AD tools arena new implementations are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. In many cases the applications in a given area of science or engineering share characteristics that require specific approaches to enable AD capabilities or provide an opportunity for efficiency gains in the derivative computation. The description of these characteristics and of the techniques for successfully using AD should make the proceedings a valuable source of information for users of AD tools.
Language: English
Published by Springer 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
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Language: English
Published by Springer 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
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Language: English
Published by Springer Verlag 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
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Language: English
Published by Springer 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
- Print on Demand
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Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2012 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as…aspects of AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-AD experts. In the AD tools arena new implementations are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. In many cases the applications in a given area of science or engineering share characteristics that require specific approaches to enable AD capabilities or provide an opportunity for efficiency gains in the derivative computation. The description of these characteristics and of the techniques for successfully using AD should make the proceedings a valuable source of information for users of AD tools. 380 pp. Englisch.
Language: English
Published by Springer Berlin Heidelberg Aug 2014 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as w…ell as aspects of AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-AD experts. In the AD tools arena new implementations are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. In many cases the applications in a given area of science or engineering share characteristics that require specific approaches to enable AD capabilities or provide an opportunity for efficiency gains in the derivative computation. The description of these characteristics and of the techniques for successfully using AD should make the proceedings a valuable source of information for users of AD tools. 380 pp. Englisch.
Language: English
Published by Springer 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
- Print on Demand
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Condition: New. Print on Demand pp. 380 89 Illus.
Recent Advances in Algorithmic Differentiation
Forth, Shaun|Hovland, Paul|Phipps, Eric|Utke, Jean|Walther, Andrea
Language: English
Published by Springer Berlin Heidelberg 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
- Print on Demand
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Easily accessible explanations that do not require a priori in-depth expertise Covers topics for users, researchers, and tool developers in the algorithmic differentiation area This collection is the most comprehensiv…e and recent source of information on th.
Recent Advances in Algorithmic Differentiation
Forth, Shaun|Hovland, Paul|Phipps, Eric|Utke, Jean|Walther, Andrea
Language: English
Published by Springer Berlin Heidelberg 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Easily accessible explanations that do not require a priori in-depth expertise Covers topics for users, researchers, and tool developers in the algorithmic differentiation area This collection is the most co…mprehensive and recent source of information on th.
Language: English
Published by Springer 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
- Print on Demand
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Condition: New. PRINT ON DEMAND pp. 380.
Language: English
Published by Springer 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
- Print on Demand
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Condition: New. PRINT ON DEMAND pp. 380.
Language: English
Published by Springer 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
- Print on Demand
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Condition: New. Print on Demand pp. 380 89 Illus.
Language: English
Published by Springer, Springer Gabler Jul 2012 2012
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Hardcover
- Print on Demand
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspe…cts of AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-AD experts. In the AD tools arena new implementations are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. In many cases the applications in a given area of science or engineering share characteristics that require specific approaches to enable AD capabilities or provide an opportunity for efficiency gains in the derivative computation. The description of these characteristics and of the techniques for successfully using AD should make the proceedings a valuable source of information for users of AD tools.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 380 pp. Englisch.
Language: English
Published by Springer, Springer Gabler Aug 2014 2014
Series: Lecture Notes in Computational Science and Engineering, Book 63 of 111. Book 63 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well…as aspects of AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-AD experts. In the AD tools arena new implementations are introduced covering, for example, Java and graphical modeling environments or join the set of existing tools for Fortran. New developments in AD algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. Applications stem from the Earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. In many cases the applications in a given area of science or engineering share characteristics that require specific approaches to enable AD capabilities or provide an opportunity for efficiency gains in the derivative computation. The description of these characteristics and of the techniques for successfully using AD should make the proceedings a valuable source of information for users of AD tools.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 380 pp. Englisch.
