Automatic Differentiation: Applications, Theory, and Implementations: 50 (Lecture Notes in Computational Science and Engineering, 50) - Softcover

Book 19 of 111: Lecture Notes in Computational Science and Engineering
 
9783540284031: Automatic Differentiation: Applications, Theory, and Implementations: 50 (Lecture Notes in Computational Science and Engineering, 50)
Softcover
ISBN 10: 3540284036 ISBN 13: 9783540284031
Publisher: Springer, 2005

Synopsis

The Fourth International Conference on Automatic Di?erentiation was held July20-23inChicago,Illinois.Theconferenceincludedaonedayshortcourse, 42 presentations, and a workshop for tool developers. This gathering of au- matic di?erentiation researchers extended a sequence that began in Breck- ridge, Colorado, in 1991 and continued in Santa Fe, New Mexico, in 1996 and Nice, France, in 2000. We invited conference participants and the general - tomatic di?erentiation community to submit papers to this special collection. The28acceptedpapersre?ectthestateoftheartinautomaticdi?erentiation. The number of automatic di?erentiation tools based on compiler techn- ogy continues to expand. The papers in this volume discuss the implem- tation and application of several compiler-based tools for Fortran, including the venerable ADIFOR, an extended NAGWare compiler, TAF, and TAPE- NADE. While great progress has been made toward robust, compiler-based tools for C/C++, most notably in the form of the ADIC and TAC++ tools, for now operator-overloading tools such as ADOL-C remain the undisputed champions for reverse-mode automatic di?erentiation of C++. Tools for - tomatic di?erentiation of high level languages, including COSY and ADiMat, continue to grow in importance as the productivity gains o? ered by high-level programming are recognized.

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Synopsis

This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students will learn about advances in automatic differentiation techniques and strategies for the implementation of robust and powerful tools. Computational scientists and engineers will benefit from the discussion of applications, which provide insight into effective strategies for using automatic differentiation for design optimization, sensitivity analysis, and uncertainty quantification.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2005
Language
English
ISBN 10 
3540284036
ISBN 13 
9783540284031
Binding
Paperback
Number of pages
388
Editor
Bücker H. Martin, Corliss George, Hovland Paul, Naumann Uwe, Norris Boyana