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Synopsis
A comprehensive treatment of algorithmic, or automatic, differentiation.
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About the Authors
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.
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
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Society for Industrial and Appli, 2008
ISBN 10: 0898716594
ISBN 13: 9780898716597
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Evaluating Derivatives Principles and Techniques of Algorithmic Differentiation
Published by
Society for Industrial and Applied Mathematics, 2008
ISBN 10: 0898716594
ISBN 13: 9780898716597
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
Published by
Society for Industrial and Applied Mathematics, 2008
ISBN 10: 0898716594
ISBN 13: 9780898716597
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
Published by
Society for Industrial and Applied Mathematics, 2008
ISBN 10: 0898716594
ISBN 13: 9780898716597
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