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Evaluating Derivatives : Principles And Techniques Of Algorithmic Differentiation - Couverture souple
Synopsis
Algorithmic, or automatic, differentiation (AD) is concerned with the accurate and efficient evaluation of derivatives for functions defined by computer programs. No truncation errors are incurred, and the resulting numerical derivative values can be used for all scientific computations that are based on linear, quadratic, or even higher order approximations to nonlinear scalar or vector functions. In particular, AD has been applied to optimization, parameter identification, equation solving, the numerical integration of differential equations, and combinations thereof. Apart from quantifying sensitivities numerically, AD techniques can also provide structural information, e.g., sparsity pattern and generic rank of Jacobian matrices.
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Présentation de l'éditeur
Algorithmic, or automatic, differentiation (AD) is concerned with the accurate and efficient evaluation of derivatives for functions defined by computer programs. No truncation errors are incurred, and the resulting numerical derivative values can be used for all scientific computations that are based on linear, quadratic, or even higher order approximations to nonlinear scalar or vector functions. In particular, AD has been applied to optimization, parameter identification, equation solving, the numerical integration of differential equations, and combinations thereof. Apart from quantifying sensitivities numerically, AD techniques can also provide structural information, e.g., sparsity pattern and generic rank of Jacobian matrices.
Biographie de l'auteur
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.
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation (Frontiers in Applied Mathematics, Series Number 19)
Edité par
Society for Industrial and Applied Mathematics, 1987
ISBN 10 : 0898714516
ISBN 13 : 9780898714517
Ancien ou d'occasion
Couverture souple
Vendeur : Greenworld Books, Arlington, TX, Etats-Unis
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Etat : good. Fast Free Shipping â" Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included. N° de réf. du vendeur GWV.0898714516.G
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation (Frontiers in Applied Mathematics, Series Number 19)
Edité par
Society for Industrial and Appli, 1987
ISBN 10 : 0898714516
ISBN 13 : 9780898714517
Ancien ou d'occasion
paperback
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
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paperback. Etat : 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! N° de réf. du vendeur S_439341412
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
Edité par
Society For Industrial And Applied Mathematics, 2000
ISBN 10 : 0898714516
ISBN 13 : 9780898714517
Ancien ou d'occasion
Couverture souple
Vendeur : Anybook.com, Lincoln, Royaume-Uni
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Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Book contains pencil markings. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780898714517. N° de réf. du vendeur 5953764
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation (Frontiers in Applied Mathematics) (Volume 19)
Edité par
Society For Industrial And Applied Mathematics, 2000
ISBN 10 : 0898714516
ISBN 13 : 9780898714517
Ancien ou d'occasion
Couverture souple
Vendeur : Anybook.com, Lincoln, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : Fair. Volume 19. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780898714517. N° de réf. du vendeur 9789672
Quantité disponible : 1 disponible(s)