Evaluating Derivatives Principles and Techniques of Algorithmic Differentiation

Andreas Griewank/ Andrea Walther

ISBN 10: 0898716594 / ISBN 13: 9780898716597

Verlag: Cambridge University Press, 2008

Beschreibung

2nd edition. 460 pages. 9.75x6.75x0.75 inches. In Stock.

Bestandsnummer des Verkäufers __0898716594

Bibliografische Details

• Titel: Evaluating Derivatives Principles and Techniques of Algorithmic Differentiation
• Verlag: Cambridge University Press
• Erscheinungsjahr: 2008
• Sprache: Englisch
• ISBN-10: 0898716594
• ISBN-13: 9780898716597
• Einband: Paperback
• Auflage: 2. Auflage
• Zustand: Brand New

Über 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.

Über 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 Universität Dresden. Since 2003 Andrea Walther has been Juniorprofessor for the analysis and optimization of computer models at the Technische Universität Dresden. Her main research interests are scientific computing and nonlinear optimization.