#include <LDLT.h>
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template<typename MatrixType , typename TranspositionType , typename Workspace > |
static EIGEN_STRONG_INLINE bool | unblocked (MatrixType &mat, TranspositionType &transpositions, Workspace &temp, SignMatrix &sign) |
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template<typename MatrixType , typename TranspositionType , typename Workspace , typename WType > |
static EIGEN_STRONG_INLINE bool | update (MatrixType &mat, TranspositionType &transpositions, Workspace &tmp, WType &w, const typename MatrixType::RealScalar &sigma=1) |
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◆ unblocked()
template<typename MatrixType , typename TranspositionType , typename Workspace >
440 Transpose<MatrixType> matt(
mat);
T sign(T x)
Definition: cxx11_tensor_builtins_sycl.cpp:172
static bool unblocked(MatrixType &mat, TranspositionType &transpositions, Workspace &temp, SignMatrix &sign)
Definition: LDLT.h:280
References SYCL::sign().
◆ update()
template<typename MatrixType , typename TranspositionType , typename Workspace , typename WType >
447 Transpose<MatrixType> matt(
mat);
RowVector3d w
Definition: Matrix_resize_int.cpp:3
Eigen::Matrix< Scalar, Dynamic, Dynamic, ColMajor > tmp
Definition: level3_impl.h:365
int sigma
Definition: calibrate.py:179
static bool update(MatrixType &mat, const TranspositionType &transpositions, Workspace &tmp, const WType &w, const typename MatrixType::RealScalar &sigma=1)
Definition: LDLT.h:426
References calibrate::sigma, tmp, and w.
Referenced by smc.smc::recursiveBayesian().
The documentation for this struct was generated from the following file: