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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation (Frontiers in Applied Mathematics, Series Number 19) - Softcover
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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About the Author
Andreas Griewank is a former Senior Scientist of the Mathematics and Computer Science Division, Argonne National Laboratory. He is currently a Professor at the Institute of Scientific Computing in the Department of Mathematics at the Technical University Dresden.
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation (Frontiers in Applied Mathematics, Series Number 19)
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Society for Industrial and Applied Mathematics, 1987
ISBN 10: 0898714516
ISBN 13: 9780898714517
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation (Frontiers in Applied Mathematics, Series Number 19)
Published by
Society for Industrial and Appli, 1987
ISBN 10: 0898714516
ISBN 13: 9780898714517
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
Published by
Society For Industrial And Applied Mathematics, 2000
ISBN 10: 0898714516
ISBN 13: 9780898714517
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Condition: 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. Seller Inventory # 5953764
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation (Frontiers in Applied Mathematics) (Volume 19)
Published by
Society For Industrial And Applied Mathematics, 2000
ISBN 10: 0898714516
ISBN 13: 9780898714517
Used
Softcover
Seller: Anybook.com, Lincoln, United Kingdom
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 9789672
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation (Frontiers in Applied Mathematics, Series Number 19)
Published by
Society for Industrial and Applied Mathematics (SIAM), 1987
ISBN 10: 0898714516
ISBN 13: 9780898714517
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