[PDF.23ky] Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Second Edition

Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Second Edition

[PDF.oq09] Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Second Edition

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 | #479696 in Books |  2008-09-26 | Original language:English |  9.72 x.79 x6.85l,1.79 | File type: PDF | 460 pages

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||From the Publisher|This volume will be valuable for designers and users of algorithms and software for nonlinear computational problems. It opens up an exciting opportunity to develop new algorithms that reflect the availability of accurate derivatives and their

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.

AD has been applied in particular to optimizati...

You easily download any file type for your gadget.Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Second Edition   |  Andreas Griewank, Andrea Walther. A good, fresh read, highly recommended.

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