Evaluating Derivatives

Name: Evaluating Derivatives
Brand: Society for Industrial & Applied Mathematics,U.S.
SKU: 9780898716597
Price: 33467 HUF
Availability: PreOrder

Principles and Techniques of Algorithmic Differentiation

Szerző: Andreas GriewankAndrea Walther

Nyelv:

Kötés: Puha kötésű

Kiadó: Society for Industrial & Applied Mathematics,U.S.

Elérhetőség: Utánnyomás

Küldés 05. 06. 2026

33 467 Ft

Algorithmic, or automatic, differentiation (AD) is a growing area of theoretical research and softwa...

Információk a könyvről

Szerző

Andreas GriewankAndrea Walther

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2008

oldal

459

EAN

9780898716597

ISBN

0898716594

Enbook ID

02050221

Kiadó

Society for Industrial & Applied Mathematics,U.S.

Súly

986

Méretek

159 x 256 x 22

Teljes leírás

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 has been relegated to separate, optional chapters. The book consists of: a stand-alone introduction to the fundamentals of AD and its software; a thorough treatment of methods for sparse problems; and final chapters on program-reversal schedules, higher derivatives, nonsmooth problems and iterative processes.

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Evaluating Derivatives

Principles and Techniques of Algorithmic Differentiation

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