Recent advances in algorithmic differentiation
Forth, Shaun.
editor
Hovland, Paul
editor
Phipps, Eric
editor
Utke, Jean
editor
Walther, Andrea
editor
text
bibliography
conference publication
gw
New York
Springer
2012
monographic
eng
xvii, 353 pages : illustrations ; 25 cm.
The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-AD experts.
A Leibniz Notation for Automatic Differentiation -- Sparse Jacobian Construction for Mapped Grid Visco-Resistive Magnetohydrodynamics -- Combining Automatic Differentiation methods for High-Dimensional Nonlinear Models -- Application of Automatic Differentiation to an Incompressible URANS Solver -- Applying Automatic Differentiation to the Community Land Model
Shaun Forth ... [and 4 others], editors.
Papers from the 6th International Conference on Automatic Differentiation (AD2012), held July 23-27, 2012, in Fort Collins, Colo.
Includes bibliographical references.
Differential calculus
Data processing
Congresses
Cálculo diferencial
Procesamiento de datos
Congresos
Differential-difference equations
Data processing
Congresses
Ecuaciones diferenciales
Procesamiento de dats
Congresos
515.330285
Lecture notes in computational science and engineering 87
9783642300226
120618
20171002074507.0
eng