p?ggqrf

Developer Reference for Intel® oneAPI Math Kernel Library for C

Download PDF

ID 766684

Date 7/13/2023

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A newer version of this document is available.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-1083858E-0BAB-409D-BC8C-CB0411C519A6

View Details

p?ggqrf

Computes the generalized QR factorization.

Syntax

void psggqrf (MKL_INT *n , MKL_INT *m , MKL_INT *p , float *a , MKL_INT *ia , MKL_INT *ja , MKL_INT *desca , float *taua , float *b , MKL_INT *ib , MKL_INT *jb , MKL_INT *descb , float *taub , float *work , MKL_INT *lwork , MKL_INT *info );

void pdggqrf (MKL_INT *n , MKL_INT *m , MKL_INT *p , double *a , MKL_INT *ia , MKL_INT *ja , MKL_INT *desca , double *taua , double *b , MKL_INT *ib , MKL_INT *jb , MKL_INT *descb , double *taub , double *work , MKL_INT *lwork , MKL_INT *info );

void pcggqrf (MKL_INT *n , MKL_INT *m , MKL_INT *p , MKL_Complex8 *a , MKL_INT *ia , MKL_INT *ja , MKL_INT *desca , MKL_Complex8 *taua , MKL_Complex8 *b , MKL_INT *ib , MKL_INT *jb , MKL_INT *descb , MKL_Complex8 *taub , MKL_Complex8 *work , MKL_INT *lwork , MKL_INT *info );

void pzggqrf (MKL_INT *n , MKL_INT *m , MKL_INT *p , MKL_Complex16 *a , MKL_INT *ia , MKL_INT *ja , MKL_INT *desca , MKL_Complex16 *taua , MKL_Complex16 *b , MKL_INT *ib , MKL_INT *jb , MKL_INT *descb , MKL_Complex16 *taub , MKL_Complex16 *work , MKL_INT *lwork , MKL_INT *info );

Include Files

mkl_scalapack.h

Description

The p?ggqrffunction forms the generalized QR factorization of an n-by-m matrix

sub(A) = A(ia:ia+n-1, ja:ja+m-1)

and an n-by-p matrix

sub(B) = B(ib:ib+n-1, jb:jb+p-1):

sub(A) = Q*R, sub(B) = Q*T*Z,

where Q is an n-by-n orthogonal/unitary matrix, Z is a p-by-p orthogonal/unitary matrix, and R and T assume one of the forms:

If n ≥ m

or if n < m

where R₁₁ is upper triangular, and

where T₁₂ or T₂₁ is an upper triangular matrix.

In particular, if sub(B) is square and nonsingular, the GQR factorization of sub(A) and sub(B) implicitly gives the QR factorization of inv (sub(B))* sub (A):

inv(sub(B))*sub(A) = Z^H*(inv(T)*R)

Input Parameters

n

(global) The number of rows in the distributed matrices sub (A) and sub(B) (n≥0).

m

(global) The number of columns in the distributed matrix sub(A) (m≥0).

p

The number of columns in the distributed matrix sub(B) (p≥0).

a

(local)

Pointer into the local memory to an array of size lld_a*LOCc(ja+m-1). Contains the local pieces of the n-by-m matrix sub(A) to be factored.

ia, ja

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

desca

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

b

(local)

Pointer into the local memory to an array of size lld_b*LOCc(jb+p-1). Contains the local pieces of the n-by-p matrix sub(B) to be factored.

ib, jb

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

descb

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

work

(local)

Workspace array of size of lwork.

lwork

(local or global) Sze of work, must be at least

lwork≥max(nb_a*(npa0+mqa0+nb_a), max((nb_a*(nb_a-1))/2, (pqb0+npb0)*nb_a)+nb_a*nb_a, mb_b*(npb0+pqb0+mb_b)),

where

iroffa = mod(ia-1, mb_A),

icoffa = mod(ja-1, nb_a),

iarow = indxg2p(ia, mb_a, MYROW, rsrc_a, NPROW),

iacol = indxg2p(ja, nb_a, MYCOL, csrc_a, NPCOL),

npa0 = numroc (n+iroffa, mb_a, MYROW, iarow, NPROW),

mqa0 = numroc (m+icoffa, nb_a, MYCOL, iacol, NPCOL)

iroffb = mod(ib-1, mb_b),

icoffb = mod(jb-1, nb_b),

ibrow = indxg2p(ib, mb_b, MYROW, rsrc_b, NPROW),

ibcol = indxg2p(jb, nb_b, MYCOL, csrc_b, NPCOL),

npb0 = numroc (n+iroffa, mb_b, MYROW, Ibrow, NPROW),

pqb0 = numroc(m+icoffb, nb_b, MYCOL, ibcol, NPCOL)

NOTE:

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

and numroc, indxg2p are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined by calling the function blacs_gridinfo.

If lwork = -1, then lwork is global input and a workspace query is assumed; the function only calculates the minimum and optimal size for all work arrays. Each of these values is returned in the first entry of the corresponding work array, and no error message is issued by pxerbla.

Output Parameters

a

On exit, the elements on and above the diagonal of sub (A) contain the min(n, m)-by-m upper trapezoidal matrix R (R is upper triangular if n≥m); the elements below the diagonal, with the array taua, represent the orthogonal/unitary matrix Q as a product of min(n, m) elementary reflectors. (See Application Notes below).

taua, taub

(local)

Arrays of size LOCc(ja+min(n,m)-1) for taua and LOCr(ib+n-1) for taub.

The array taua contains the scalar factors of the elementary reflectors which represent the orthogonal/unitary matrix Q. taua is tied to the distributed matrix A. (See Application Notes below).

The array taub contains the scalar factors of the elementary reflectors which represent the orthogonal/unitary matrix Z. taub is tied to the distributed matrix B. (See Application Notes below).

work[0]

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

info

(global)

= 0: the execution is successful.

< 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.

Application Notes

The matrix Q is represented as a product of elementary reflectors

Q = H(ja)*H(ja+1)*...*H(ja+k-1),

where k= min(n,m).

Each H(i) has the form

H(i) = i - taua*v*v'

where taua is a real/complex scalar, and v is a real/complex vector with v(1:i-1) = 0 and v(i) = 1; v(i+1:n) is stored on exit in A(ia+i:ia+n-1, ja+i-1) , and taua in taua[ja+i-2].To form Q explicitly, use ScaLAPACK function p?orgqr/p?ungqr. To use Q to update another matrix, use ScaLAPACK function p?ormqr/p?unmqr.

The matrix Z is represented as a product of elementary reflectors

Z = H(ib)*H(ib+1)*...*H(ib+k-1), where k= min(n,p).

Each H(i) has the form

H(i) = i - taub*v*v'

where taub is a real/complex scalar, and v is a real/complex vector with v(p-k+i+1:p) = 0 and v(p-k+i) = 1; v(1:p-k+i-1) is stored on exit in B(ib+n-k+i-1,jb:jb+p-k+i-2), and taub in taub[ib+n-k+i-2]. To form Z explicitly, use ScaLAPACK function p?orgrq/p?ungrq. To use Z to update another matrix, use ScaLAPACK function p?ormrq/p?unmrq.

Parent topic: Orthogonal Factorizations: ScaLAPACK 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

p?ggqrf

Syntax

Include Files

Description

Input Parameters

Output Parameters

Application Notes

See Also