Advances in Automatic Differentiation
- Author
- Christian H. Bischof, H. Martin Bücker, Paul Hovland …
- Publication Year
- 2008
- Publisher
- Springer
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Mathematics and Statistics
- Download Book Read book
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.
Keywords: Mathematics and Statistics / 3D / AES / Computer / MATLAB / OpenMP / Algorithms / Automatic differentiation / Calculus / Construction / Development / Modeling / Optimization / Programming / Programming language / Sensitivity analysis
