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Automatic Differentiation in MATLAB using ADMAT with Applications: 27 (Software, Environments and Tools, Series Number 27) - Softcover
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Discusses efficient use of automatic differentiation to solve real problems, especially multidimensional zero-finding and optimization in the MATLAB environment.
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Über die Autorinnen und Autoren
Thomas F. Coleman is a Professor in the Department of Combinatorics and Optimization, as well as the Ophelia Lazaridis University Research Chair, at the University of Waterloo. He is also the Director of WatRISQ, an institute composed of finance researchers that spans several faculties at the university. From 2005 to 2010, Dr Coleman was Dean of the Faculty of Mathematics at the University of Waterloo. Prior to this, he was Professor of Computer Science at Cornell University. He was also Director of the Cornell Theory Center (CTC), a supercomputer applications center, and founded and directed CTC-Manhattan, a computational finance venture. Dr Coleman has authored three books on computational mathematics, edited six conference proceedings, and published over 80 journal articles in the areas of optimization, automatic differentiation, parallel computing, computational finance, and optimization applications.
Wei Xu is Research Manager at the Global Risk Institute (GRI), Toronto. Before joining GRI, Dr Xu was a Visiting Professor at the University of Waterloo. Previously, he was an Associate Professor at Tongji University, Shanghai. He co-founded Shanghai Raiyun Information Technology Ltd, a risk management services and solutions provider, and currently serves as its Director of R&D. His research has been featured in over 30 publications and he has co-authored a book on risk management.
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AUTOMATIC DIFFERENTIATION IN MATLAB USING ADMAT WITH APPLICATIONS
Verlag:
Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974356
ISBN 13: 9781611974355
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Software, Environments and Tools: Series Number 27: Automatic Differentiation in MATLAB using ADMAT with Applications
Verlag:
Society for Industrial & Applied Mathematics,U.S., 2016
ISBN 10: 1611974356
ISBN 13: 9781611974355
Neu
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Automatic Differentiation in MATLAB Using Admat with Applications
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Zustand: New. Über den AutorThomas F. Coleman is a Professor in the Department of Combinatorics and Optimization, as well as the Ophelia Lazaridis University Research Chair, at the University of Waterloo. He is also the Director of WatRISQ, an in. Bestandsnummer des Verkäufers 904511799
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Automatic Differentiation in MATLAB Using ADMAT with Applications
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MP-SIA SIAM - Society for Industrial and Applied M, 2016
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ISBN 13: 9781611974355
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Automatic Differentiation in MATLAB using ADMAT with Applications
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Paperback. Zustand: Brand New. 1st edition. 117 pages. 9.90x7.50x0.20 inches. In Stock. Bestandsnummer des Verkäufers __1611974356
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Software, Environments and Tools: Series Number 27: Automatic Differentiation in MATLAB using ADMAT with Applications
Verlag:
Society for Industrial & Applied Mathematics,U.S., 2016
ISBN 10: 1611974356
ISBN 13: 9781611974355
Neu
Softcover
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Zustand: New. 2016. Paperback. . . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9781611974355
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Automatic Differentiation in MATLAB using ADMAT with Applications
Verlag:
Society for Industrial & Applied Mathematics,U.S., 2016
ISBN 10: 1611974356
ISBN 13: 9781611974355
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Automatic Differentiation in Matlab Using Admat With Applications
Verlag:
Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974356
ISBN 13: 9781611974355
Neu
Softcover
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Automatic Differentiation in Matlab Using Admat With Applications
Verlag:
Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974356
ISBN 13: 9781611974355
Neu
Softcover
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Automatic Differentiation in MATLAB Using Admat with Applications
ISBN 10: 1611974356
ISBN 13: 9781611974355
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Taschenbuch. Zustand: Neu. Neuware - The calculation of partial derivatives is a fundamental need in scientific computing. Automatic differentiation (AD) can be applied straightforwardly to obtain all necessary partial derivatives (usually first and, possibly, second derivatives) regardless of a code's complexity. However, the space and time efficiency of AD can be dramatically improved - sometimes transforming a problem from intractable to highly feasible - if inherent problem structure is used to apply AD in a judicious manner.This book discusses the efficient use of AD to solve real problems, especially multidimensional zero-finding and optimization, in the MATLAB environment. This book is concerned with the determination of the first and second derivatives in the context of solving scientific computing problems with an emphasis on optimization and solutions to nonlinear systems. The authors focus on the application rather than the implementation of AD, solve real nonlinear problems with high performance by exploiting the problem structure in the application of AD, and provide many easy to understand applications, examples, and MATLAB templates. Bestandsnummer des Verkäufers 9781611974355
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