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Evaluating Derivatives
Andreas Griewank
€ 118.94
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Description for Evaluating Derivatives
Paperback. A comprehensive treatment of algorithmic, or automatic, differentiation. Num Pages: 460 pages, ill. BIC Classification: PBKJ; PBWH. Category: (P) Professional & Vocational. Dimension: 256 x 159 x 22. Weight in Grams: 818.
Algorithmic, or automatic, differentiation (AD) is a growing area of theoretical research and software development concerned with the accurate and efficient evaluation of derivatives for function evaluations given as computer programs. The resulting derivative values are useful for all scientific computations that are based on linear, quadratic, or higher order approximations to nonlinear scalar or vector functions. This second edition covers recent developments in applications and theory, including an elegant NP completeness argument and an introduction to scarcity. There is also added material on checkpointing and iterative differentiation. To improve readability the more detailed analysis of memory and complexity bounds ... Read more
Algorithmic, or automatic, differentiation (AD) is a growing area of theoretical research and software development concerned with the accurate and efficient evaluation of derivatives for function evaluations given as computer programs. The resulting derivative values are useful for all scientific computations that are based on linear, quadratic, or higher order approximations to nonlinear scalar or vector functions. This second edition covers recent developments in applications and theory, including an elegant NP completeness argument and an introduction to scarcity. There is also added material on checkpointing and iterative differentiation. To improve readability the more detailed analysis of memory and complexity bounds ... Read more
Product Details
Publisher
Society for Industrial & Applied Mathematics,U.S. United States
Number of pages
460
Format
Paperback
Publication date
2008
Condition
New
Number of Pages
460
Place of Publication
New York, United States
ISBN
9780898716597
SKU
V9780898716597
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Andreas Griewank
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 ... Read more
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