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Searched
defs:SVD
(Results
1 - 2
of
2
) sorted by null
/external/eigen/Eigen/src/Eigen2Support/
SVD.h
18
* \class
SVD
20
* \brief Standard
SVD
decomposition of a matrix and associated features
22
* \param MatrixType the type of the matrix of which we are computing the
SVD
decomposition
24
* This class performs a standard
SVD
decomposition of a real matrix A of size \c M x \c N
28
* \sa MatrixBase::
SVD
()
30
template<typename MatrixType> class
SVD
51
SVD
() {} // a user who relied on compiler-generated default compiler reported problems with MSVC in 2.0.7
53
SVD
(const MatrixType& matrix)
69
SVD
& sort();
89
/** Computes / recomputes the
SVD
decomposition A = U S V^* of \a matri
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/external/eigen/Eigen/src/SVD/
JacobiSVD.h
22
/*** QR preconditioners (R-
SVD
)
24
*** Their role is to reduce the problem of computing the
SVD
to the case of a square matrix.
25
*** This approach, known as R-
SVD
, is an optimization for rectangular-enough matrices, and is a requirement for
77
void allocate(const JacobiSVD<MatrixType, FullPivHouseholderQRPreconditioner>&
svd
)
79
if (
svd
.rows() != m_qr.rows() ||
svd
.cols() != m_qr.cols())
81
m_qr = FullPivHouseholderQR<MatrixType>(
svd
.rows(),
svd
.cols());
83
if (
svd
.m_computeFullU) m_workspace.resize(
svd
.rows())
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