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In the past the development of automatic differentiation algorithms was driven
by the need for the efficient evaluation of exact derivative values. In
atmospheric and oceanographic sciences, the need for exact derivative values
is particularly great, because researchers in these areas
use more and more sophisticated first- and higher-order
derivatives in their model description.
Although automatic differentiation tools have so far not been widely used in exploration
geophysics, they offer possibilities
in non linear optimization, complex algorithms, and statistical analysis.
Next: The PROCESS OF AUTOMATIC
Up: Karrenbach: automatic differentiation
Previous: Karrenbach: automatic differentiation
Stanford Exploration Project
11/18/1997