potrs#
Solves a system of linear equations with a Cholesky-factored symmetric (Hermitian) positive-definite coefficient matrix.
Description
potrs
supports the following precisions.
T
float
double
std::complex<float>
std::complex<double>
The routine solves for \(X\) the system of linear equations \(AX = B\) with a symmetric positive-definite or, for complex data, Hermitian positive-definite matrix \(A\), given the Cholesky factorization of \(A\):
\(A = U^TU\) for real data, \(A = U^HU\) for complex data |
if |
---|---|
\(A = LL^T\) for real data, \(A = LL^H\) for complex data |
if |
where \(L\) is a lower triangular matrix and \(U\) is upper triangular. The system is solved with multiple right-hand sides stored in the columns of the matrix \(B\).
Before calling this routine, you must call potrf to compute the Cholesky factorization of \(A\).
potrs (Buffer Version)#
Syntax
namespace oneapi::mkl::lapack {
void potrs(sycl::queue &queue, oneapi::mkl::uplo upper_lower, std::int64_t n, std::int64_t nrhs, sycl::buffer<T,1> &a, std::int64_t lda, sycl::buffer<T,1> &b, std::int64_t ldb, sycl::buffer<T,1> &scratchpad, std::int64_t scratchpad_size)
}
Input Parameters
- queue
The queue where the routine should be executed.
- upper_lower
Indicates how the input matrix has been factored:
If
upper_lower = oneapi::mkl::uplo::upper
, the upper triangle \(U\) of \(A\) is stored, where \(A\) = \(U^{T}`U\) for real data, \(A\) = \(U^{H}U\) for complex data.If
upper_lower = oneapi::mkl::uplo::lower
, the lower triangle \(L\) of \(A\) is stored, where \(A\) = \(LL^{T}\) for real data, \(A\) = \(LL^{H}\) for complex data.- n
The order of matrix \(A\) (\(0 \le n\)).
- nrhs
The number of right-hand sides (\(0 \le \text{nrhs}\)).
- a
Buffer containing the factorization of the matrix A, as returned by potrf. The second dimension of
a
must be at least \(\max(1, n)\).- lda
The leading dimension of
a
.- b
The array
b
contains the matrix \(B\) whose columns are the right-hand sides for the systems of equations. The second dimension ofb
must be at least \(\max(1,\text{nrhs})\).- ldb
The leading dimension of
b
.- 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 potrs_scratchpad_size function.
Output Parameters
- b
Overwritten by the solution matrix \(X\).
- scratchpad
Buffer holding scratchpad memory to be used by routine for storing intermediate results.
potrs (USM Version)#
Syntax
namespace oneapi::mkl::lapack {
sycl::event potrs(sycl::queue &queue, oneapi::mkl::uplo upper_lower, std::int64_t n, std::int64_t nrhs, T *a, std::int64_t lda, T *b, std::int64_t ldb, T *scratchpad, std::int64_t scratchpad_size, const std::vector<sycl::event> &events = {})
}
Input Parameters
- queue
The queue where the routine should be executed.
- upper_lower
Indicates how the input matrix has been factored:
If
upper_lower = oneapi::mkl::uplo::upper
, the upper triangle \(U\) of \(A\) is stored, where \(A\) = \(U^{T}U\) for real data, \(A\) = \(U^{H}U\) for complex data.If
upper_lower = oneapi::mkl::uplo::lower
, the lower triangle \(L\) of \(A\) is stored, where \(A\) = \(LL^{T}\) for real data, \(A\) = \(LL^{H}\) for complex data.- n
The order of matrix \(A\) (\(0 \le n\)).
- nrhs
The number of right-hand sides (\(0 \le \text{nrhs}\)).
- a
Pointer to array containing the factorization of the matrix \(A\), as returned by potrf. The second dimension of
a
must be at least \(\max(1, n)\).- lda
The leading dimension of
a
.- b
The array
b
contains the matrix \(B\) whose columns are the right-hand sides for the systems of equations. The second dimension ofb
must be at least \(\max(1,\text{nrhs})\).- ldb
The leading dimension of
b
.- 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 potrs_scratchpad_size function.- events
List of events to wait for before starting computation. Defaults to empty list.
Output Parameters
- b
Overwritten by the solution matrix \(X\).
- scratchpad
Pointer to scratchpad memory to be used by routine for storing intermediate results.
Return Values
Output event to wait on to ensure computation is complete.
Parent topic: LAPACK Linear Equation Routines