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Bestandsnummer des Verk�ufers STM.ABJ

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Bibliografische Details

Titel

Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation

Verlag

Society for Industrial and Applied Mathematics

Erscheinungsjahr

2008

Sprache

Englisch

ISBN-10

0898716594

ISBN-13

9780898716597

Einband

Softcover

Auflage

2. Auflage

Zustand

good

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�ber diesen Titel

Inhaltsangabe

A comprehensive treatment of algorithmic, or automatic, differentiation for designers of algorithms and software for nonlinear computational problems, users of current numerical software, mathematicians, and engineers. This second edition has been updated and expanded to cover recent developments in applications and theory.

�ber die Autorinnen und Autoren

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.

Andrea Walther studied mathematics and economy at the University of Bayreuth. She holds a doctorate degree from the Technische Universit�t Dresden. Since 2003 Andrea Walther has been Juniorprofessor for the analysis and optimization of computer models at the Technische Universit�t Dresden. Her main research interests are scientific computing and nonlinear optimization.

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