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5 #ifndef __pinocchio_cholesky_hpp__
6 #define __pinocchio_cholesky_hpp__
36 template<
typename Scalar,
int Options,
template<
typename,
int>
class JointCollectionTpl>
38 const ModelTpl<Scalar, Options, JointCollectionTpl> &
model,
39 DataTpl<Scalar, Options, JointCollectionTpl> &
data);
62 template<
typename,
int>
class JointCollectionTpl,
65 const ModelTpl<Scalar, Options, JointCollectionTpl> &
model,
66 const DataTpl<Scalar, Options, JointCollectionTpl> &
data,
67 const Eigen::MatrixBase<Mat> & y);
84 template<
typename,
int>
class JointCollectionTpl,
89 const Eigen::MatrixBase<Mat> &
min);
107 template<
typename,
int>
class JointCollectionTpl,
113 const Eigen::MatrixBase<Mat> &
min,
114 const Eigen::MatrixBase<MatRes> & mout);
131 template<
typename,
int>
class JointCollectionTpl,
136 const Eigen::MatrixBase<Mat> &
m);
153 template<
typename,
int>
class JointCollectionTpl,
158 const Eigen::MatrixBase<Mat> &
v);
176 template<
typename,
int>
class JointCollectionTpl,
181 const Eigen::MatrixBase<Mat> &
v);
201 template<
typename,
int>
class JointCollectionTpl,
206 const Eigen::MatrixBase<Mat> &
v);
227 template<
typename,
int>
class JointCollectionTpl,
232 const Eigen::MatrixBase<Mat> &
v);
251 template<
typename,
int>
class JointCollectionTpl,
256 const Eigen::MatrixBase<Mat> &
v);
273 template<
typename,
int>
class JointCollectionTpl,
278 const Eigen::MatrixBase<Mat> & Minv);
292 template<
typename Scalar,
int Options,
template<
typename,
int>
class JointCollectionTpl>
306 #include "pinocchio/algorithm/cholesky.hxx"
308 #if PINOCCHIO_ENABLE_TEMPLATE_INSTANTIATION
309 #include "pinocchio/algorithm/cholesky.txx"
310 #endif // PINOCCHIO_ENABLE_TEMPLATE_INSTANTIATION
312 #endif // ifndef __pinocchio_cholesky_hpp__
Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic, Options > MatrixXs
Mat & Uv(const ModelTpl< Scalar, Options, JointCollectionTpl > &model, const DataTpl< Scalar, Options, JointCollectionTpl > &data, const Eigen::MatrixBase< Mat > &v)
Perform the sparse multiplication using the Cholesky decomposition stored in data and acting in plac...
Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor|Options > RowMatrixXs
Mat & UDUtv(const ModelTpl< Scalar, Options, JointCollectionTpl > &model, const DataTpl< Scalar, Options, JointCollectionTpl > &data, const Eigen::MatrixBase< Mat > &m)
Performs the multiplication by using the Cholesky decomposition of M stored in data.
JointCollectionTpl const DataTpl< Scalar, Options, JointCollectionTpl > const Eigen::MatrixBase< Mat > & min
Mat & solve(const ModelTpl< Scalar, Options, JointCollectionTpl > &model, const DataTpl< Scalar, Options, JointCollectionTpl > &data, const Eigen::MatrixBase< Mat > &y)
Return the solution of using the Cholesky decomposition stored in data given the entry ....
PINOCCHIO_EIGEN_PLAIN_TYPE(Mat) Mv(const ModelTpl< Scalar
Performs the multiplication by using the sparsity pattern of the M matrix.
Mat & Uiv(const ModelTpl< Scalar, Options, JointCollectionTpl > &model, const DataTpl< Scalar, Options, JointCollectionTpl > &data, const Eigen::MatrixBase< Mat > &v)
Perform the pivot inversion using the Cholesky decomposition stored in data and acting in place.
JointCollectionTpl const Eigen::MatrixBase< ConfigVectorType > const Eigen::MatrixBase< TangentVectorType > & v
const DataTpl< Scalar, Options, JointCollectionTpl >::MatrixXs & decompose(const ModelTpl< Scalar, Options, JointCollectionTpl > &model, DataTpl< Scalar, Options, JointCollectionTpl > &data)
Compute the Cholesky decomposition of the joint space inertia matrix M contained in data.
Mat & computeMinv(const ModelTpl< Scalar, Options, JointCollectionTpl > &model, const DataTpl< Scalar, Options, JointCollectionTpl > &data, const Eigen::MatrixBase< Mat > &Minv)
Computes the inverse of the joint space inertia matrix M from its Cholesky factorization.
JointCollectionTpl & model
JointCollectionTpl const DataTpl< Scalar, Options, JointCollectionTpl > & data
MatRes & Mv(const ModelTpl< Scalar, Options, JointCollectionTpl > &model, const DataTpl< Scalar, Options, JointCollectionTpl > &data, const Eigen::MatrixBase< Mat > &min, const Eigen::MatrixBase< MatRes > &mout)
Performs the multiplication by using the sparsity pattern of the M matrix.
Mat & Utv(const ModelTpl< Scalar, Options, JointCollectionTpl > &model, const DataTpl< Scalar, Options, JointCollectionTpl > &data, const Eigen::MatrixBase< Mat > &v)
Perform the sparse multiplication using the Cholesky decomposition stored in data and acting in plac...
Mat & Utiv(const ModelTpl< Scalar, Options, JointCollectionTpl > &model, const DataTpl< Scalar, Options, JointCollectionTpl > &data, const Eigen::MatrixBase< Mat > &v)
Perform the pivot inversion using the Cholesky decomposition stored in data and acting in place.
Main pinocchio namespace.
pinocchio
Author(s):
autogenerated on Sun Dec 22 2024 03:41:06