Advances in Automatic Differentiation

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bischof, Christian H. (Editor), Bücker, H. Martin (Editor), Hovland, Paul (Editor), Naumann, Uwe (Editor), Utke, Jean (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Lecture Notes in Computational Science and Engineering, 64
• Subjects: Mathematics.; Computers.; Computer science > Mathematics.; Computer mathematics.; Mathematical optimization.; Electrical engineering.; Computational Science and Engineering.; Optimization.; Theory of Computation.; Computational Mathematics and Numerical Analysis.; Electrical Engineering.; Mathematics of Computing.
• Physical Description: XVIII, 368 p. 111 illus. online resource.
• ISBN: 9783540689423
• ISSN: 1439-7358 ;

This collection covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and powerful automatic differentiation tools. Computational scientists and engineers will benefit from the discussion of various applications, which provide insight into effective strategies for using automatic differentiation for inverse problems and design optimization.