|
Prev | Next | WishList |
BenderQuad specifications.
retape(k)
is true for some
k
,
one can still use the structure of the representation to compute a
sparsity structure. Currently ipopt_cppad_nlp uses a dense
sparsity structure for this case
new_x
flag could be used to avoid zero order forward mode
computations. Because the same ADFun object is used at different
argument values, this would require forward mode at multiple argument values
(see multiple arguments
).
AD<double>.
This would speed up compilation for the most common usage where
the Base type is double.
AD<double> and ADFun<double> that
would make it easy to connect the SWIG languages, e.g., Python, see,
SWIG
for a description of SWIG
and a list of the languages.
This could also be used for faster evaluation of algorithms
that have a fixed operation sequence
.
This would require the library
wish list
entry to be implemented.
USE_CPPAD_SPARSE_HESSIAN equal to
1 (true) and 0 (false)
indicates that sparse_hessian is more efficient
than Hessian
(for large sparse cases).
Create an implementation of sparse_hessian
that is more efficient
(the initial implementation was only meant as a demonstration).
For example, use arrays of index sets where for each row (column) the
index contains the non-zero column (row) indices.
(Also see Ipopt
wish list.)
int when assigning
from double to
VecAD< AD<double> >::reference object.