?gesvx

Developer Reference for Intel® oneAPI Math Kernel Library for C

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ID 766684

Date 7/13/2023

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?gesvx

Computes the solution to the system of linear equations with a square coefficient matrix A and multiple right-hand sides, and provides error bounds on the solution.

Syntax

lapack_int LAPACKE_sgesvx( int matrix_layout, char fact, char trans, lapack_int n, lapack_int nrhs, float* a, lapack_int lda, float* af, lapack_int ldaf, lapack_int* ipiv, char* equed, float* r, float* c, float* b, lapack_int ldb, float* x, lapack_int ldx, float* rcond, float* ferr, float* berr, float* rpivot );

lapack_int LAPACKE_dgesvx( int matrix_layout, char fact, char trans, lapack_int n, lapack_int nrhs, double* a, lapack_int lda, double* af, lapack_int ldaf, lapack_int* ipiv, char* equed, double* r, double* c, double* b, lapack_int ldb, double* x, lapack_int ldx, double* rcond, double* ferr, double* berr, double* rpivot );

lapack_int LAPACKE_cgesvx( int matrix_layout, char fact, char trans, lapack_int n, lapack_int nrhs, lapack_complex_float* a, lapack_int lda, lapack_complex_float* af, lapack_int ldaf, lapack_int* ipiv, char* equed, float* r, float* c, lapack_complex_float* b, lapack_int ldb, lapack_complex_float* x, lapack_int ldx, float* rcond, float* ferr, float* berr, float* rpivot );

lapack_int LAPACKE_zgesvx( int matrix_layout, char fact, char trans, lapack_int n, lapack_int nrhs, lapack_complex_double* a, lapack_int lda, lapack_complex_double* af, lapack_int ldaf, lapack_int* ipiv, char* equed, double* r, double* c, lapack_complex_double* b, lapack_int ldb, lapack_complex_double* x, lapack_int ldx, double* rcond, double* ferr, double* berr, double* rpivot );

Include Files

mkl.h

Description

The routine uses the LU factorization to compute the solution to a real or complex system of linear equations A*X = B, where A is an n-by-n matrix, the columns of matrix B are individual right-hand sides, and the columns of X are the corresponding solutions.

Error bounds on the solution and a condition estimate are also provided.

The routine ?gesvx performs the following steps:

If fact = 'E', real scaling factors r and c are computed to equilibrate the system:

trans = 'N': diag(r)*A*diag(c)*inv(diag(c))*X = diag(r)*B

trans = 'T': (diag(r)*A*diag(c))^T*inv(diag(r))*X = diag(c)*B

trans = 'C': (diag(r)*A*diag(c))^H*inv(diag(r))*X = diag(c)*B

Whether or not the system will be equilibrated depends on the scaling of the matrix A, but if equilibration is used, A is overwritten by diag(r)*A*diag(c) and B by diag(r)*B (if trans='N') or diag(c)*B (if trans = 'T' or 'C').
If fact = 'N' or 'E', the LU decomposition is used to factor the matrix A (after equilibration if fact = 'E') as A = P*L*U, where P is a permutation matrix, L is a unit lower triangular matrix, and U is upper triangular.
If some U_i,i= 0, so that U is exactly singular, then the routine returns with info = i. Otherwise, the factored form of A is used to estimate the condition number of the matrix A. If the reciprocal of the condition number is less than machine precision, info = n + 1 is returned as a warning, but the routine still goes on to solve for X and compute error bounds as described below.
The system of equations is solved for X using the factored form of A.
Iterative refinement is applied to improve the computed solution matrix and calculate error bounds and backward error estimates for it.
If equilibration was used, the matrix X is premultiplied by diag(c) (if trans = 'N') or diag(r) (if trans = 'T' or 'C') so that it solves the original system before equilibration.

Input Parameters

matrix_layout	Specifies whether matrix storage layout is row major (LAPACK_ROW_MAJOR) or column major (LAPACK_COL_MAJOR).
fact	Must be 'F', 'N', or 'E'. Specifies whether or not the factored form of the matrix `A` is supplied on entry, and if not, whether the matrix `A` should be equilibrated before it is factored. If `fact = 'F'`: on entry, `af` and `ipiv` contain the factored form of `A`. If `equed` is not 'N', the matrix `A` has been equilibrated with scaling factors given by `r` and `c`. `a`, `af`, and `ipiv` are not modified. If `fact = 'N'`, the matrix `A` will be copied to `af` and factored. If `fact = 'E'`, the matrix `A` will be equilibrated if necessary, then copied to `af` and factored.
trans	Must be 'N', 'T', or 'C'. Specifies the form of the system of equations: If `trans = 'N'`, the system has the form `AX = B` (No transpose). If `trans = 'T'`, the system has the form `A`^T`X` = `B` (Transpose). If `trans = 'C'`, the system has the form `A`^H`*X` = `B` (Transpose for real flavors, conjugate transpose for complex flavors).
n	The number of linear equations; the order of the matrix `A`; `n`≥ 0.
nrhs	The number of right hand sides; the number of columns of the matrices `B` and `X`; `nrhs`≥ 0.
a	The array `a`(size max(1, lda*n)) contains the matrix `A`. If `fact = 'F'` and `equed` is not 'N', then `A` must have been equilibrated by the scaling factors in `r` and/or `c`.
af	The array `afaf`(size max(1, ldafn)) is an input argument if `fact = 'F'`. It contains the factored form of the matrix `A`, that is, the factors `L` and `U` from the factorization `A = PL*U` as computed by ?getrf. If `equed` is not 'N', then `af` is the factored form of the equilibrated matrix `A`.
b	The array `bb`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.
lda	The leading dimension of `a`; `lda≥ max(1, n)`.
ldaf	The leading dimension of `af`; `ldaf≥ max(1, n)`.
ldb	The leading dimension of `b`; `ldb`≥ max(1, n) for column major layout and `ldb`≥nrhs for row major layout.
ipiv	Array, size at least `max(1, n)`. The array `ipiv` is an input argument if `fact = 'F'`. It contains the pivot indices from the factorization `A = PLU` as computed by ?getrf; row `i` of the matrix was interchanged with row `ipiv[i-1]`.
equed	Must be 'N', 'R', 'C', or 'B'. `equed` is an input argument if `fact = 'F'`. It specifies the form of equilibration that was done: If `equed = 'N'`, no equilibration was done (always true if `fact = 'N'`). If `equed = 'R'`, row equilibration was done, that is, `A` has been premultiplied by `diag`(`r`). If `equed = 'C'`, column equilibration was done, that is, `A` has been postmultiplied by `diag`(`c`). If `equed = 'B'`, both row and column equilibration was done, that is, `A` has been replaced by `diag(r)Adiag(c)`.
r, c	Arrays: `r (size n)`, `c (size n)`. The array `r` contains the row scale factors for `A`, and the array `c` contains the column scale factors for `A`. These arrays are input arguments if `fact = 'F'` only; otherwise they are output arguments. If `equed = 'R'` or 'B', `A` is multiplied on the left by `diag`(`r`); if `equed = 'N'` or 'C', `r` is not accessed. If `fact = 'F'` and `equed = 'R'` or 'B', each element of `r` must be positive. If `equed = 'C'` or 'B', `A` is multiplied on the right by `diag`(`c`); if `equed = 'N'` or 'R', `c` is not accessed. If `fact = 'F'` and `equed = 'C'` or 'B', each element of `c` must be positive.
ldx	The leading dimension of the output array `x`; ldx≥ max(1, n) for column major layout and `ldx`≥nrhs for row major layout.

Output Parameters

x	Array, size max(1, ldxnrhs) for column major layout and max(1, ldxn) for row major layout. If `info = 0` or `info = n+1`, the array `x` contains the solution matrix `X` to the original system of equations. Note that `A` and `B` are modified on exit if `equed≠'N'`, and the solution to the equilibrated system is: `diag(C)^-1X`, if `trans = 'N'` and `equed = 'C'` or 'B'; `diag(R)^-1X`, if `trans = 'T'` or 'C' and `equed = 'R'` or 'B'. The second dimension of `x` must be at least `max(1,nrhs)`.
a	Array `a` is not modified on exit if `fact = 'F'` or 'N', or if `fact = 'E'` and `equed` = 'N'. If `equed≠'N'`, `A` is scaled on exit as follows: `equed` = 'R': `A = diag(R)A` `equed` = 'C': `A = Adiag(c)` `equed` = 'B': `A = diag(R)Adiag(c)`.
af	If `fact = 'N'` or 'E', then `af` is an output argument and on exit returns the factors `L` and `U` from the factorization `A = PLU` of the original matrix `A` (if `fact = 'N'`) or of the equilibrated matrix `A` (if `fact = 'E'`). See the description of `a` for the form of the equilibrated matrix.
b	Overwritten by `diag(r)B` if `trans = 'N'` and `equed = 'R'`or `'B'`; overwritten by `diag(c)B` if `trans = 'T'` or `'C'` and `equed = 'C'` or `'B'`; not changed if `equed` = 'N'.
r, c	These arrays are output arguments if `fact≠'F'`. See the description of `r`, `c` in Input Arguments section.
rcond	An estimate of the reciprocal condition number of the matrix `A` after equilibration (if done). If `rcond` is less than the machine precision, in particular, if `rcond` = 0, the matrix is singular to working precision. This condition is indicated by a return code of info > 0.
ferr	Array, size at least `max(1, nrhs)`. Contains the estimated forward error bound for each solution vector `x_j` (the `j`-th column of the solution matrix `X`). If `xtrue` is the true solution corresponding to `x_j`, `ferr[j-1]` is an estimated upper bound for the magnitude of the largest element in `(x_j - xtrue)` divided by the magnitude of the largest element in `x_j`. The estimate is as reliable as the estimate for rcond, and is almost always a slight overestimate of the true error.
berr	Array, size at least `max(1, nrhs)`. Contains the component-wise relative backward error for each solution vector `x_j`, that is, the smallest relative change in any element of `A` or `B` that makes `x_j` an exact solution.
ipiv	If `fact = 'N'`or 'E', then `ipiv` is an output argument and on exit contains the pivot indices from the factorization `A = PLU` of the original matrix `A` (if `fact = 'N'`) or of the equilibrated matrix `A` (if `fact = 'E'`).
equed	If `fact≠'F'`, then `equed` is an output argument. It specifies the form of equilibration that was done (see the description of `equed` in Input Arguments section).
rpivot	On exit, `rpivot` contains the reciprocal pivot growth factor: If `rpivot` is much less than 1, then the stability of the `LU` factorization of the (equilibrated) matrix `A` could be poor. This also means that the solution `x`, condition estimator `rcond`, and forward error bound `ferr` could be unreliable. If factorization fails with `0 < info≤n`, then `rpivot` contains the reciprocal pivot growth factor for the leading `info` columns of `A`.

Return Values

This function returns a value info.

If info = 0, the execution is successful.

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

If info = i, and i≤n, then U(i, i) is exactly zero. The factorization has been completed, but the factor U is exactly singular, so the solution and error bounds could not be computed; rcond = 0 is returned.

If info = n + 1, then U is nonsingular, but rcond is less than machine precision, meaning that the matrix is singular to working precision. Nevertheless, the solution and error bounds are computed because there are a number of situations where the computed solution can be more accurate than the value of rcond would suggest.

Parent topic: LAPACK Linear Equation Driver Routines

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Developer Reference for Intel® oneAPI Math Kernel Library for C

?gesvx

Syntax

Include Files

Description

Input Parameters

Output Parameters

Return Values

See Also