Provided by: scalapack-doc_1.5-11_all 
NAME
PSGGRQF - compute a generalized RQ factorization of an M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1)
SYNOPSIS
SUBROUTINE PSGGRQF( M, P, N, A, IA, JA, DESCA, TAUA, B, IB, JB, DESCB, TAUB, WORK, LWORK, INFO )
INTEGER IA, IB, INFO, JA, JB, LWORK, M, N, P
INTEGER DESCA( * ), DESCB( * )
REAL A( * ), B( * ), TAUA( * ), TAUB( * ), WORK( * )
PURPOSE
PSGGRQF computes a generalized RQ factorization of an M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) and
a P-by-N matrix sub( B ) = B(IB:IB+P-1,JB:JB+N-1):
sub( A ) = R*Q, sub( B ) = Z*T*Q,
where Q is an N-by-N orthogonal matrix, Z is a P-by-P orthogonal matrix, and R and T assume one of the
forms:
if M <= N, R = ( 0 R12 ) M, or if M > N, R = ( R11 ) M-N,
N-M M ( R21 ) N
N
where R12 or R21 is upper triangular, and
if P >= N, T = ( T11 ) N , or if P < N, T = ( T11 T12 ) P,
( 0 ) P-N P N-P
N
where T11 is upper triangular.
In particular, if sub( B ) is square and nonsingular, the GRQ factorization of sub( A ) and sub( B )
implicitly gives the RQ factorization of sub( A )*inv( sub( B ) ):
sub( A )*inv( sub( B ) ) = (R*inv(T))*Z'
where inv( sub( B ) ) denotes the inverse of the matrix sub( B ), and Z' denotes the transpose of matrix
Z.
Notes
=====
Each global data object is described by an associated description vector. This vector stores the
information required to establish the mapping between an object element and its corresponding process and
memory location.
Let A be a generic term for any 2D block cyclicly distributed array. Such a global array has an
associated description vector DESCA. In the following comments, the character _ should be read as "of
the global array".
NOTATION STORED IN EXPLANATION
--------------- -------------- -------------------------------------- DTYPE_A(global) DESCA( DTYPE_ )The
descriptor type. In this case,
DTYPE_A = 1.
CTXT_A (global) DESCA( CTXT_ ) The BLACS context handle, indicating
the BLACS process grid A is distribu-
ted over. The context itself is glo-
bal, but the handle (the integer
value) may vary.
M_A (global) DESCA( M_ ) The number of rows in the global
array A.
N_A (global) DESCA( N_ ) The number of columns in the global
array A.
MB_A (global) DESCA( MB_ ) The blocking factor used to distribute
the rows of the array.
NB_A (global) DESCA( NB_ ) The blocking factor used to distribute
the columns of the array.
RSRC_A (global) DESCA( RSRC_ ) The process row over which the first
row of the array A is distributed. CSRC_A (global) DESCA( CSRC_ ) The
process column over which the
first column of the array A is
distributed.
LLD_A (local) DESCA( LLD_ ) The leading dimension of the local
array. LLD_A >= MAX(1,LOCr(M_A)).
Let K be the number of rows or columns of a distributed matrix, and assume that its process grid has
dimension p x q.
LOCr( K ) denotes the number of elements of K that a process would receive if K were distributed over the
p processes of its process column.
Similarly, LOCc( K ) denotes the number of elements of K that a process would receive if K were
distributed over the q processes of its process row.
The values of LOCr() and LOCc() may be determined via a call to the ScaLAPACK tool function, NUMROC:
LOCr( M ) = NUMROC( M, MB_A, MYROW, RSRC_A, NPROW ),
LOCc( N ) = NUMROC( N, NB_A, MYCOL, CSRC_A, NPCOL ). An upper bound for these quantities may be
computed by:
LOCr( M ) <= ceil( ceil(M/MB_A)/NPROW )*MB_A
LOCc( N ) <= ceil( ceil(N/NB_A)/NPCOL )*NB_A
ARGUMENTS
M (global input) INTEGER
The number of rows to be operated on i.e the number of rows of the distributed submatrix sub( A
). M >= 0.
P (global input) INTEGER
The number of rows to be operated on i.e the number of rows of the distributed submatrix sub( B
). P >= 0.
N (global input) INTEGER
The number of columns to be operated on i.e the number of columns of the distributed submatrices
sub( A ) and sub( B ). N >= 0.
A (local input/local output) REAL pointer into the
local memory to an array of dimension (LLD_A, LOCc(JA+N-1)). On entry, the local pieces of the
M-by-N distributed matrix sub( A ) which is to be factored. On exit, if M <= N, the upper
triangle of A( IA:IA+M-1, JA+N-M:JA+N-1 ) contains the M by M upper triangular matrix R; if M >=
N, the elements on and above the (M-N)-th subdiagonal contain the M by N upper trapezoidal matrix
R; the remaining elements, with the array TAUA, represent the orthogonal matrix Q as a product of
elementary reflectors (see Further Details). IA (global input) INTEGER The row index in the
global array A indicating the first row of sub( A ).
JA (global input) INTEGER
The column index in the global array A indicating the first column of sub( A ).
DESCA (global and local input) INTEGER array of dimension DLEN_.
The array descriptor for the distributed matrix A.
TAUA (local output) REAL, array, dimension LOCr(IA+M-1)
This array contains the scalar factors of the elementary reflectors which represent the
orthogonal unitary matrix Q. TAUA is tied to the distributed matrix A (see Further Details).
B (local input/local output) REAL pointer into the
local memory to an array of dimension (LLD_B, LOCc(JB+N-1)). On entry, the local pieces of the
P-by-N distributed matrix sub( B ) which is to be factored. On exit, the elements on and above
the diagonal of sub( B ) contain the min(P,N) by N upper trapezoidal matrix T (T is upper
triangular if P >= N); the elements below the diagonal, with the array TAUB, represent the
orthogonal matrix Z as a product of elementary reflectors (see Further Details). IB (global
input) INTEGER The row index in the global array B indicating the first row of sub( B ).
JB (global input) INTEGER
The column index in the global array B indicating the first column of sub( B ).
DESCB (global and local input) INTEGER array of dimension DLEN_.
The array descriptor for the distributed matrix B.
TAUB (local output) REAL, array, dimension
LOCc(JB+MIN(P,N)-1). This array contains the scalar factors TAUB of the elementary reflectors
which represent the orthogonal matrix Z. TAUB is tied to the distributed matrix B (see Further
Details). WORK (local workspace/local output) REAL array, dimension (LWORK) On exit, WORK(1)
returns the minimal and optimal LWORK.
LWORK (local or global input) INTEGER
The dimension of the array WORK. LWORK is local input and must be at least LWORK >= MAX( MB_A *
( MpA0 + NqA0 + MB_A ), MAX( (MB_A*(MB_A-1))/2, (PpB0 + NqB0)*MB_A ) + MB_A * MB_A, NB_B * ( PpB0
+ NqB0 + NB_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 ), MpA0 = NUMROC( M+IROFFA,
MB_A, MYROW, IAROW, NPROW ), NqA0 = NUMROC( N+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 ), PpB0 = NUMROC( P+IROFFB,
MB_B, MYROW, IBROW, NPROW ), NqB0 = NUMROC( N+ICOFFB, NB_B, MYCOL, IBCOL, NPCOL ),
and NUMROC, INDXG2P are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined
by calling the subroutine BLACS_GRIDINFO.
If LWORK = -1, then LWORK is global input and a workspace query is assumed; the routine 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.
INFO (global output) INTEGER
= 0: successful exit
< 0: If the i-th argument is an array and the j-entry 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.
FURTHER DETAILS
The matrix Q is represented as a product of elementary reflectors
Q = H(ia) H(ia+1) . . . H(ia+k-1), where k = min(m,n).
Each H(i) has the form
H(i) = I - taua * v * v'
where taua is a real scalar, and v is a real vector with
v(n-k+i+1:n) = 0 and v(n-k+i) = 1; v(1:n-k+i-1) is stored on exit in A(ia+m-k+i-1,ja:ja+n-k+i-2), and
taua in TAUA(ia+m-k+i-1). To form Q explicitly, use ScaLAPACK subroutine PSORGRQ.
To use Q to update another matrix, use ScaLAPACK subroutine PSORMRQ.
The matrix Z is represented as a product of elementary reflectors
Z = H(jb) H(jb+1) . . . H(jb+k-1), where k = min(p,n).
Each H(i) has the form
H(i) = I - taub * v * v'
where taub is a real scalar, and v is a real vector with
v(1:i-1) = 0 and v(i) = 1; v(i+1:p) is stored on exit in
B(ib+i:ib+p-1,jb+i-1), and taub in TAUB(jb+i-1).
To form Z explicitly, use ScaLAPACK subroutine PSORGQR.
To use Z to update another matrix, use ScaLAPACK subroutine PSORMQR.
Alignment requirements
======================
The distributed submatrices sub( A ) and sub( B ) must verify some alignment properties, namely the
following expression should be true:
( NB_A.EQ.NB_B .AND. ICOFFA.EQ.ICOFFB .AND. IACOL.EQ.IBCOL )