\(\newcommand{\W}[1]{ \; #1 \; }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }\) \(\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }\) \(\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }\) \(\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }\)
sparse2eigen¶
View page sourceConvert A CppAD Sparse Matrix to an Eigen Sparse Matrix¶
Syntax¶
#
include <cppad/utility/sparse2eigen.hpp>
sparse2eigen ( source , destination )
Prototype¶
template <class SizeVector, class ValueVector, int Options>
void sparse2eigen(
const CppAD::sparse_rcv<SizeVector, ValueVector>& source ,
Eigen::SparseMatrix<typename ValueVector::value_type, Options>& destination )
Include¶
If include_eigen is specified on the cmake command line,
the file cppad/utility/sparse2eigen.hpp
is included by cppad/cppad.hpp .
In any case,
it can also be included separately with out the rest of
the CppAD routines.
Including this file defines
this version of the sparse2eigen within the CppAD namespace.
SizeVector¶
We use SizeVector to denote a
SimpleVector class with elements of size_t .
ValueVector¶
We use ValueVector to denote a SimpleVector class with elements of type value_type .
Options¶
We use Options to denote either
Eigen::RowMajor of Eigen::ColMajor .
value_type¶
The type of elements of elements in source and destination must be the same. We use value_type to denote this type.
source¶
This is the CppAD sparse matrix that is being converted to eigen format.
destination¶
This is the Eigen sparse matrix that is the result of the conversion.
Compressed¶
The result matrix destination is in compressed format. For example, let
size_t nnz = source . nnz ();const s_vector & s_value = source . val ();const value_type * d_value = destination . valuePtr ();const s_vector & row_major = source . row_major ();const s_vector & col_major = source . col_major ();It follows that, for k = 0 , …, nnz :
If Options is Eigen::RowMajor ,
d_value [ k ] == s_value [ row_major [ k ] ]
If Options is Eigen::ColMajor ,
d_value [ k ] == s_value [ col_major [ k ] ]
Example¶
The file sparse2eigen.cpp contains an example and test
of sparse2eigen.cpp It return true if the test passes
and false otherwise.