?pptrs

Developer Reference for Intel® oneAPI Math Kernel Library for C

Download PDF

ID 766684

Date 11/07/2023

Version

Public

A newer version of this document is available. Customers should click here to go to the newest version.

Visible to Intel only — GUID: GUID-49BE8E3A-F115-44A6-83BD-0549AE5A0EEF

View Details

?pptrs

Solves a system of linear equations with a packed Cholesky-factored symmetric (Hermitian) positive-definite coefficient matrix.

Syntax

lapack_int LAPACKE_spptrs (int matrix_layout , char uplo , lapack_int n , lapack_int nrhs , const float * ap , float * b , lapack_int ldb );

lapack_int LAPACKE_dpptrs (int matrix_layout , char uplo , lapack_int n , lapack_int nrhs , const double * ap , double * b , lapack_int ldb );

lapack_int LAPACKE_cpptrs (int matrix_layout , char uplo , lapack_int n , lapack_int nrhs , const lapack_complex_float * ap , lapack_complex_float * b , lapack_int ldb );

lapack_int LAPACKE_zpptrs (int matrix_layout , char uplo , lapack_int n , lapack_int nrhs , const lapack_complex_double * ap , lapack_complex_double * b , lapack_int ldb );

Include Files

mkl.h

Description

The routine solves for X the system of linear equations A*X = B with a packed 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 `uplo='U'`
`A = LL^T` for real data, `A = LL^H` for complex data	if `uplo='L'`

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 ?pptrf to compute the Cholesky factorization of A.

Input Parameters

matrix_layout	Specifies whether matrix storage layout is row major (LAPACK_ROW_MAJOR) or column major (LAPACK_COL_MAJOR).
uplo	Must be 'U' or 'L'. Indicates how the input matrix `A` has been factored: If `uplo = 'U'`, `U` is stored, where `A` = `U`^T`U` for real data, `A` = `U`^H`U` for complex data. If `uplo = 'L'`, `L` is stored, where `A` = `L``L`^T for real data, `A` = `L``L`^H for complex data
n	The order of matrix `A`; `n`≥ 0.
nrhs	The number of right-hand sides (`nrhs`≥ 0).
ap, b	The size of `ap` must be at least max(1,`n`(`n`+1)/2). The array `ap` contains the factor `U` or `L`, as specified by `uplo`, in packed storage (see Matrix Storage Schemes).
b	The array `b` of size max(1, ldbnrhs) for column major layout and max(1, ldbn) for row major layout contains the matrix `B` whose columns are the right-hand sides for the systems of equations.
ldb	The leading dimension of `b`; `ldb`≥ max(1, n) for column major layout and `ldb`≥nrhs for row major layout.

Output Parameters

b	Overwritten by the solution matrix `X`.

Return Values

This function returns a value info.

If info = 0, the execution is successful.

If info = -i, parameter i had an illegal value.

Application Notes

If uplo = 'U', the computed solution for each right-hand side b is the exact solution of a perturbed system of equations (A + E)x = b, where

|E| ≤ c(n)ε |U^H||U|

c(n) is a modest linear function of n, and ε is the machine precision.

A similar estimate holds for uplo = 'L'.

If x₀ is the true solution, the computed solution x satisfies this error bound:

where cond(A,x)= || |A^-1||A| |x| ||_∞ / ||x||_∞≤ ||A^-1||_∞ ||A||_∞ = κ_∞(A).

Note that cond(A,x) can be much smaller than κ_∞(A).

The approximate number of floating-point operations for one right-hand side vector b is 2n² for real flavors and 8n² for complex flavors.

To estimate the condition number κ_∞(A), call ?ppcon.

To refine the solution and estimate the error, call ?pprfs.

Parent topic: Solving Systems of Linear Equations: LAPACK Computational Routines

Select Your Language

Using Intel.com Search

Quick Links

Recent Searches

Advanced Search

Only search in

Developer Reference for Intel® oneAPI Math Kernel Library for C

?pptrs

Syntax

Include Files

Description

Input Parameters

Output Parameters

Return Values

Application Notes

See Also