Advances in Automatic Differentiation
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. Computa...
Clasificación: | Libro Electrónico |
---|---|
Autor Corporativo: | SpringerLink (Online service) |
Otros Autores: | Bischof, Christian H. (Editor ), Bücker, H. Martin (Editor ), Hovland, Paul (Editor ), Naumann, Uwe (Editor ), Utke, Jean (Editor ) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
|
Edición: | 1st ed. 2008. |
Colección: | Lecture Notes in Computational Science and Engineering,
64 |
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Automatic Differentiation: Applications, Theory, and Implementations
Publicado: (2006) -
Recent Advances in Algorithmic Differentiation
Publicado: (2012) -
Newton Methods for Nonlinear Problems Affine Invariance and Adaptive Algorithms /
por: Deuflhard, Peter
Publicado: (2011) -
Index-aware Model Order Reduction Methods Applications to Differential-Algebraic Equations /
por: Banagaaya, N., et al.
Publicado: (2016) -
Computational Electromagnetics
por: Rylander, Thomas, et al.
Publicado: (2013)