sytrd#
Reduces a real symmetric matrix to tridiagonal form.
Description
sytrd
supports the following precisions.
T
float
double
The routine reduces a real symmetric matrix \(A\) to symmetric tridiagonal form \(T\) by an orthogonal similarity transformation: \(A = QTQ^T\). The orthogonal matrix \(Q\) is not formed explicitly but is represented as a product of \(n-1\) elementary reflectors. Routines are provided for working with \(Q\) in this representation .
sytrd (Buffer Version)#
Syntax
namespace oneapi::mkl::lapack {
void sytrd(cl::sycl::queue &queue, oneapi::mkl::uplo upper_lower, std::int64_t n, cl::sycl::buffer<T,1> &a, std::int64_t lda, cl::sycl::buffer<T,1> &d, cl::sycl::buffer<T,1> &e, cl::sycl::buffer<T,1> &tau, cl::sycl::buffer<T,1> &scratchpad, std::int64_t scratchpad_size)
}
Input Parameters
- queue
The queue where the routine should be executed.
- upper_lower
Must be
uplo::upper
oruplo::lower
.If
upper_lower = uplo::upper
,a
stores the upper triangular part of \(A\).If
upper_lower = uplo::lower
,a
stores the lower triangular part of \(A\).- n
The order of the matrices \(A\) \((0 \le n)\).
- a
The buffer
a
, size(lda,*)
. Contains the upper or lower triangle of the symmetric matrix \(A\), as specified byupper_lower
.The second dimension of
a
must be at least \(\max(1,n)\).- lda
The leading dimension of
a
; at least \(\max(1,n)\).- scratchpad_size
Size of scratchpad memory as a number of floating point elements of type
T
. Size should not be less than the value returned by sytrd_scratchpad_size function.
Output Parameters
- a
On exit,
if
upper_lower = uplo::upper
, the diagonal and first superdiagonal of \(A\) are overwritten by the corresponding elements of the tridiagonal matrix \(T\), and the elements above the first superdiagonal, with the buffertau
, represent the orthogonal matrix \(Q\) as a product of elementary reflectors;if
upper_lower = uplo::lower
, the diagonal and first subdiagonal of \(A\) are overwritten by the corresponding elements of the tridiagonal matrix \(T\), and the elements below the first subdiagonal, with the buffertau
, represent the orthogonal matrix \(Q\) as a product of elementary reflectors.- d
Buffer containing the diagonal elements of the matrix \(T\). The dimension of
d
must be at least \(\max(1, n)\).- e
Buffer containing the off diagonal elements of the matrix \(T\). The dimension of
e
must be at least \(\max(1, n-1)\).- tau
Buffer, size at least \(\max(1, n)\). Stores \((n-1)\) scalars that define elementary reflectors in decomposition of the unitary matrix \(Q\) in a product of \(n-1\) elementary reflectors. \(\tau(n)\) is used as workspace.
- scratchpad
Buffer holding scratchpad memory to be used by routine for storing intermediate results.
Throws
This routine shall throw the following exceptions if the associated condition is detected. An implementation may throw additional implementation-specific exception(s) in case of error conditions not covered here.
oneapi::mkl::unsupported_device
oneapi::mkl::lapack::invalid_argument
oneapi::mkl::lapack::computation_error
Exception is thrown in case of problems during calculations. The
info
code of the problem can be obtained by info() method of exception object:If \(\text{info}=-i\), the \(i\)-th parameter had an illegal value.
If
info
equals to value passed as scratchpad size, and detail() returns non zero, then passed scratchpad is of insufficient size, and required size should not be less than value return by detail() method of exception object.
sytrd (USM Version)#
Syntax
namespace oneapi::mkl::lapack {
cl::sycl::event sytrd(cl::sycl::queue &queue, oneapi::mkl::uplo upper_lower, std::int64_t n, T *a, std::int64_t lda, T *d, T *e, T *tau, T *scratchpad, std::int64_t scratchpad_size, const std::vector<cl::sycl::event> &events = {})
}
Input Parameters
- queue
The queue where the routine should be executed.
- upper_lower
Must be
uplo::upper
oruplo::lower
.If
upper_lower = uplo::upper
,a
stores the upper triangular part of \(A\).If
upper_lower = uplo::lower
,a
stores the lower triangular part of \(A\).- n
The order of the matrices \(A\) \((0 \le n)\).
- a
The pointer to matrix \(A\), size
(lda,*)
. Contains the upper or lower triangle of the symmetric matrix \(A\), as specified byupper_lower
. The second dimension ofa
must be at least \(\max(1,n)\).- lda
The leading dimension of
a
; at least \(\max(1,n)\).- scratchpad_size
Size of scratchpad memory as a number of floating point elements of type
T
. Size should not be less than the value returned by sytrd_scratchpad_size function.- events
List of events to wait for before starting computation. Defaults to empty list.
Output Parameters
- a
On exit,
if
upper_lower = uplo::upper
, the diagonal and first superdiagonal of \(A\) are overwritten by the corresponding elements of the tridiagonal matrix \(T\), and the elements above the first superdiagonal, with the arraytau
, represent the orthogonal matrix \(Q\) as a product of elementary reflectors;if
upper_lower = uplo::lower
, the diagonal and first subdiagonal of \(A\) are overwritten by the corresponding elements of the tridiagonal matrix \(T\), and the elements below the first subdiagonal, with the arraytau
, represent the orthogonal matrix \(Q\) as a product of elementary reflectors.- d
Pointer to diagonal elements of the matrix \(T\). The dimension of
d
must be at least \(\max(1, n)\).- e
Pointer to off diagonal elements of the matrix \(T\). The dimension of
e
must be at least \(\max(1, n-1)\).- tau
Pointer to array of size at least \(\max(1, n)\). Stores \((n-1)\) scalars that define elementary reflectors in decomposition of the unitary matrix \(Q\) in a product of \(n-1\) elementary reflectors. \(\tau(n)\) is used as workspace.
- scratchpad
Pointer to scratchpad memory to be used by routine for storing intermediate results.
Throws
This routine shall throw the following exceptions if the associated condition is detected. An implementation may throw additional implementation-specific exception(s) in case of error conditions not covered here.
oneapi::mkl::unsupported_device
oneapi::mkl::lapack::invalid_argument
oneapi::mkl::lapack::computation_error
Exception is thrown in case of problems during calculations. The
info
code of the problem can be obtained by info() method of exception object:If \(\text{info}=-i\), the \(i\)-th parameter had an illegal value.
If
info
equals to value passed as scratchpad size, and detail() returns non zero, then passed scratchpad is of insufficient size, and required size should not be less than value return by detail() method of exception object.
Return Values
Output event to wait on to ensure computation is complete.
Parent topic: LAPACK Singular Value and Eigenvalue Problem Routines