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Evaluating Derivatives 2nd Edition Paperback: Principles and Techniques of Algorithmic Differentiation - Tapa blanda
Sinopsis
A comprehensive treatment of algorithmic, or automatic, differentiation for designers of algorithms and software for nonlinear computational problems, users of current numerical software, mathematicians, and engineers. This second edition has been updated and expanded to cover recent developments in applications and theory.
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Acerca de los autores
Andreas Griewank is a former senior scientist of Argonne National Laboratory and authored the first edition of this book in 2000. He holds a Ph.D. from the Australian National University and is currently Deputy Director of the Institute of Mathematics at Humboldt University Berlin and a member of the DFG Research Center Matheon, Mathematics for Key Technologies. His main research interests are nonlinear optimization and scientific computing.
Andrea Walther studied mathematics and economy at the University of Bayreuth. She holds a doctorate degree from the Technische Universität Dresden. Since 2003 Andrea Walther has been Juniorprofessor for the analysis and optimization of computer models at the Technische Universität Dresden. Her main research interests are scientific computing and nonlinear optimization.
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Evaluating Derivatives Principles and Techniques of Algorithmic Differentiation
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Cambridge University Press, 2008
ISBN 10: 0898716594
ISBN 13: 9780898716597
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Paperback. Condición: Brand New. 2nd edition. 460 pages. 9.75x6.75x0.75 inches. In Stock. Nº de ref. del artículo: __0898716594
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Evaluating Derivatives Princip
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Society for Industrial and Applied Mathematics, 2008
ISBN 10: 0898716594
ISBN 13: 9780898716597
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
Publicado por
Society for Industrial and Applied Mathematics, 2008
ISBN 10: 0898716594
ISBN 13: 9780898716597
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Tapa blanda
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Condición: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please donât hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Nº de ref. del artículo: STM.ABJ
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
Publicado por
Society for Industrial and Applied Mathematics, 2008
ISBN 10: 0898716594
ISBN 13: 9780898716597
Antiguo o usado
Paperback
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