p?gerfs

Developer Reference for Intel® oneAPI Math Kernel Library for C

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ID 766684

Date 12/16/2022

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p?gerfs

Improves the computed solution to a system of linear equations and provides error bounds and backward error estimates for the solution.

Syntax

void psgerfs (char *trans , MKL_INT *n , MKL_INT *nrhs , float *a , MKL_INT *ia , MKL_INT *ja , MKL_INT *desca , float *af , MKL_INT *iaf , MKL_INT *jaf , MKL_INT *descaf , MKL_INT *ipiv , float *b , MKL_INT *ib , MKL_INT *jb , MKL_INT *descb , float *x , MKL_INT *ix , MKL_INT *jx , MKL_INT *descx , float *ferr , float *berr , float *work , MKL_INT *lwork , MKL_INT *iwork , MKL_INT *liwork , MKL_INT *info );

void pdgerfs (char *trans , MKL_INT *n , MKL_INT *nrhs , double *a , MKL_INT *ia , MKL_INT *ja , MKL_INT *desca , double *af , MKL_INT *iaf , MKL_INT *jaf , MKL_INT *descaf , MKL_INT *ipiv , double *b , MKL_INT *ib , MKL_INT *jb , MKL_INT *descb , double *x , MKL_INT *ix , MKL_INT *jx , MKL_INT *descx , double *ferr , double *berr , double *work , MKL_INT *lwork , MKL_INT *iwork , MKL_INT *liwork , MKL_INT *info );

void pcgerfs (char *trans , MKL_INT *n , MKL_INT *nrhs , MKL_Complex8 *a , MKL_INT *ia , MKL_INT *ja , MKL_INT *desca , MKL_Complex8 *af , MKL_INT *iaf , MKL_INT *jaf , MKL_INT *descaf , MKL_INT *ipiv , MKL_Complex8 *b , MKL_INT *ib , MKL_INT *jb , MKL_INT *descb , MKL_Complex8 *x , MKL_INT *ix , MKL_INT *jx , MKL_INT *descx , float *ferr , float *berr , MKL_Complex8 *work , MKL_INT *lwork , float *rwork , MKL_INT *lrwork , MKL_INT *info );

void pzgerfs (char *trans , MKL_INT *n , MKL_INT *nrhs , MKL_Complex16 *a , MKL_INT *ia , MKL_INT *ja , MKL_INT *desca , MKL_Complex16 *af , MKL_INT *iaf , MKL_INT *jaf , MKL_INT *descaf , MKL_INT *ipiv , MKL_Complex16 *b , MKL_INT *ib , MKL_INT *jb , MKL_INT *descb , MKL_Complex16 *x , MKL_INT *ix , MKL_INT *jx , MKL_INT *descx , double *ferr , double *berr , MKL_Complex16 *work , MKL_INT *lwork , double *rwork , MKL_INT *lrwork , MKL_INT *info );

Include Files

mkl_scalapack.h

Description

The p?gerfs function improves the computed solution to one of the systems of linear equations

sub(A)*sub(X) = sub(B),

sub(A)^T*sub(X) = sub(B), or

sub(A)^H*sub(X) = sub(B) and provides error bounds and backward error estimates for the solution.

Here sub(A) = A(ia:ia+n-1, ja:ja+n-1), sub(B) = B(ib:ib+n-1, jb:jb+nrhs-1), and sub(X) = X(ix:ix+n-1, jx:jx+nrhs-1).

Input Parameters

trans

(global) Must be 'N' or 'T' or 'C'.

Specifies the form of the system of equations:

If trans = 'N', the system has the form sub(A)*sub(X) = sub(B) (No transpose);

If trans = 'T', the system has the form sub(A)^T*sub(X) = sub(B) (Transpose);

If trans = 'C', the system has the form sub(A)^H*sub(X) = sub(B) (Conjugate transpose).

n

(global) The order of the distributed matrix sub(A) (n≥ 0).

nrhs

(global) The number of right-hand sides, i.e., the number of columns of the matrices sub(B) and sub(X) (nrhs≥ 0).

a, af, b, x

(local)

Pointers into the local memory to arrays of local sizes

a: lld_a * LOCc(ja+n-1),

af: lld_af * LOCc(jaf+n-1),

b: lld_b * LOCc(jb+nrhs-1),

x: lld_x * LOCc(jx+nrhs-1).

The array a contains the local pieces of the distributed matrix sub(A).

The array af contains the local pieces of the distributed factors of the matrix sub(A) = P*L*U as computed by p?getrf.

The array b contains the local pieces of the distributed matrix of right hand sides sub(B).

On entry, the array x contains the local pieces of the distributed solution matrix sub(X).

ia, ja

(global) The row and column indices in the global matrix A indicating the first row and the first column of the matrix sub(A), respectively.

desca

(global and local) array of size dlen_. The array descriptor for the distributed matrix A.

iaf, jaf

(global) The row and column indices in the global matrix AF indicating the first row and the first column of the matrix sub(AF), respectively.

descaf

(global and local) array of size dlen_. The array descriptor for the distributed matrix AF.

ib, jb

(global) The row and column indices in the global matrix B indicating the first row and the first column of the matrix sub(B), respectively.

descb

(global and local) array of size dlen_. The array descriptor for the distributed matrix B.

ix, jx

(global) The row and column indices in the global matrix X indicating the first row and the first column of the matrix sub(X), respectively.

descx

(global and local) array of size dlen_. The array descriptor for the distributed matrix X.

ipiv

(local)

Array of size LOCr(m_af) + mb_af.

This array contains pivoting information as computed by p?getrf. If ipiv[i]=j, then the local row i+1 was swapped with the global row jwhere i=0, ... , LOCr(m_af) + mb_af- 1.

This array is tied to the distributed matrix A.

work

(local)

The array work of size lwork is a workspace array.

lwork

(local or global) The size of the array work.

For real flavors:

lwork must be at least

lwork≥ 3*LOCr(n+mod(ia-1,mb_a))

For complex flavors:

lwork must be at least

lwork≥ 2*LOCr(n+mod(ia-1,mb_a))

NOTE:

mod(x,y) is the integer remainder of x/y.

iwork

(local) Workspace array, size liwork. Used in real flavors only.

liwork

(local or global) The size of the array iwork; used in real flavors only. Must be at least

liwork≥LOCr(n+mod(ib-1,mb_b)).

rwork

(local)

Workspace array, size lrwork. Used in complex flavors only.

lrwork

(local or global) The size of the array rwork; used in complex flavors only. Must be at least lrwork≥LOCr(n+mod(ib-1,mb_b))).

Output Parameters

x

On exit, contains the improved solution vectors.

ferr, berr

Arrays of size LOCc(jb+nrhs-1) each.

The array ferr contains the estimated forward error bound for each solution vector of sub(X).

If XTRUE is the true solution corresponding to sub(X), ferr is an estimated upper bound for the magnitude of the largest element in (sub(X) - XTRUE) divided by the magnitude of the largest element in sub(X). The estimate is as reliable as the estimate for rcond, and is almost always a slight overestimate of the true error.

This array is tied to the distributed matrix X.

The array berr contains the component-wise relative backward error of each solution vector (that is, the smallest relative change in any entry of sub(A) or sub(B) that makes sub(X) an exact solution). This array is tied to the distributed matrix X.

work[0]

On exit, work[0] contains the minimum value of lwork required for optimum performance.

iwork[0]

On exit, iwork[0] contains the minimum value of liwork required for optimum performance (for real flavors).

rwork[0]

On exit, rwork[0] contains the minimum value of lrwork required for optimum performance (for complex flavors).

info

(global) If info=0, the execution is successful.

info < 0:

If the i-th argument is an array and the j-th entry, indexed j - 1, had an illegal value, then info = -(i*100+j); if the i-th argument is a scalar and had an illegal value, then info = -i.

Parent topic: Refining the Solution and Estimating Its Error: ScaLAPACK Computational Routines

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