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Templated c++ Forward Automatic differentiation.
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Jérôme 428863bcdb Added macros for creating gradient functors for 1 to 1 and N to 1 functions.
2019-03-31 19:02:52 +02:00
examples Static derivative computation test added (boost::proto). 2019-03-27 21:27:39 +01:00
test Added macros for creating gradient functors for 1 to 1 and N to 1 functions. 2019-03-31 19:02:52 +02:00
tests Added macros for creating gradient functors for 1 to 1 and N to 1 functions. 2019-03-31 19:02:52 +02:00
.gitignore MAJOR MILESTONE : rewrote everything so that 2 template classes are created : static and dynamic. 2019-03-31 15:46:52 +02:00
AutomaticDifferentiation.hpp MAJOR MILESTONE : rewrote everything so that 2 template classes are created : static and dynamic. 2019-03-31 15:46:52 +02:00
AutomaticDifferentiation_base.hpp Added macros for creating gradient functors for 1 to 1 and N to 1 functions. 2019-03-31 19:02:52 +02:00
AutomaticDifferentiation_dynamic.hpp Added macros for creating gradient functors for 1 to 1 and N to 1 functions. 2019-03-31 19:02:52 +02:00
AutomaticDifferentiation_math.hpp MAJOR MILESTONE : rewrote everything so that 2 template classes are created : static and dynamic. 2019-03-31 15:46:52 +02:00
AutomaticDifferentiation_static.hpp Added macros for creating gradient functors for 1 to 1 and N to 1 functions. 2019-03-31 19:02:52 +02:00
coverage_test.txt Fixed vector version to look more like FADBAD in terms of interface 2019-03-26 12:30:17 +01:00
Doxyfile Added macros for creating gradient functors for 1 to 1 and N to 1 functions. 2019-03-31 19:02:52 +02:00
Makefile MAJOR MILESTONE : rewrote everything so that 2 template classes are created : static and dynamic. 2019-03-31 15:46:52 +02:00
Makefile.linux Fixed vector version to look more like FADBAD in terms of interface 2019-03-26 12:30:17 +01:00
Makefile.windows Fixed vector version to look more like FADBAD in terms of interface 2019-03-26 12:30:17 +01:00
README.md Fixed vector version to look more like FADBAD in terms of interface 2019-03-26 12:30:17 +01:00
test_AutomaticDifferentiation_main.cpp Fixed vector version to look more like FADBAD in terms of interface 2019-03-26 12:30:17 +01:00
test_small_manual.cpp Cleaned up folder structure, moved old stuff to old/ 2019-03-26 12:40:00 +01:00
utils.hpp Added macros for creating gradient functors for 1 to 1 and N to 1 functions. 2019-03-31 19:02:52 +02:00

README.md

AutomaticDifferentiation

Templated c++ Forward Automatic differentiation.

There are two versions :

  • A scalar one,
  • a vectorized one.

The class is a simple one, no expression templates are used. The class is however a template, meaning that any base numeric type can be used with it. It has successfully tested with boost::multiprecision::mpfr.

Scalar version

The scalar one allows very easily to produce higher order derivatives.

Vector version

The vectorized one is harder to make work with higher order derivatives, but allows the simultaneous computation of the full gradient, in a single function call, making it more efficient than backward automatic differentiation. It currently depends on Eigen for the vectorized part.