Hauke Heibel
e2a059863e
Added missing precision/eps functions to AutoDiffScalar.
2010-02-21 15:44:34 +01:00
Gael Guennebaud
801e601ff1
a couple of improvements in the Autodiff module
2010-01-05 16:04:05 +01:00
Hauke Heibel
b08d5b2d2c
Even more NestByValue cleanup...
2009-12-01 13:16:51 +01:00
Benoit Jacob
92749eed11
* merge
...
* remove a ctor in QuaternionBase as it gives a strange error with GCC 4.4.2.
2009-11-09 09:08:03 -05:00
Gael Guennebaud
5dc02fe5e9
improve a bit AutoDiffVector, but it still not working
2009-11-06 11:34:58 +01:00
Gael Guennebaud
7b0c4102fa
* add a Make* expression type builder to allow the
...
construction of generic expressions working
for both dense and sparse matrix. A nicer solution
would be to use CwiseBinaryOp for any kind of matrix.
To this end we either need to change the overall design
so that the base class(es) depends on the kind of matrix,
or we could add a template parameter to each expression
type (e.g., int Kind = ei_traits<MatrixType>::Kind)
allowing to specialize each expression for each kind of matrix.
* Extend AutoDiffScalar to work with sparse vector expression
for the derivatives.
2009-10-16 13:22:38 +02:00
Gael Guennebaud
44ba4b1d6d
add operator+ scalar to AutoDiffScalar
2009-10-16 11:27:04 +02:00
Gael Guennebaud
1503043981
autodiff:
...
* fix namespace issue
* simplify Jacobian code
* fix issue with "Dynamic derivatives"
2009-10-15 18:43:15 +02:00
Thomas Capricelli
de942a44c2
default argument for _jac in functor operator() : this way, we can use
...
AutoDiffJacobian::operator()(x,value) exactly as the original functor
2009-09-28 01:28:48 +02:00
Benoit Jacob
6347b1db5b
remove sentence "Eigen itself is part of the KDE project."
...
it never made very precise sense. but now does it still make any?
2009-05-22 20:25:33 +02:00
Gael Guennebaud
7080282a6d
forgot a svn add CMakeLists.txt
2009-05-07 14:49:56 +00:00
Gael Guennebaud
0170eb0dbe
add an auto-diff module in unsupported. it is similar to adolc's forward
...
mode but the advantage of using Eigen's expression template to compute
the derivatives (unless you nest an AutoDiffScalar into an Eigen's
matrix).
2009-04-01 14:43:37 +00:00
