Provided by: scalapack-doc_1.5-11_all 
NAME
PDSYGST - reduce a real symmetric-definite generalized eigenproblem to standard form
SYNOPSIS
SUBROUTINE PDSYGST( IBTYPE, UPLO, N, A, IA, JA, DESCA, B, IB, JB, DESCB, SCALE, INFO )
CHARACTER UPLO
INTEGER IA, IB, IBTYPE, INFO, JA, JB, N
DOUBLE PRECISION SCALE
INTEGER DESCA( * ), DESCB( * )
DOUBLE PRECISION A( * ), B( * )
PURPOSE
PDSYGST reduces a real symmetric-definite generalized eigenproblem to standard form.
In the following sub( A ) denotes A( IA:IA+N-1, JA:JA+N-1 ) and sub( B ) denotes B(
IB:IB+N-1, JB:JB+N-1 ).
If IBTYPE = 1, the problem is sub( A )*x = lambda*sub( B )*x, and sub( A ) is overwritten
by inv(U**T)*sub( A )*inv(U) or inv(L)*sub( A )*inv(L**T)
If IBTYPE = 2 or 3, the problem is sub( A )*sub( B )*x = lambda*x or sub( B )*sub( A )*x =
lambda*x, and sub( A ) is overwritten by U*sub( A )*U**T or L**T*sub( A )*L.
sub( B ) must have been previously factorized as U**T*U or L*L**T by PDPOTRF.
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
IBTYPE (global input) INTEGER
= 1: compute inv(U**T)*sub( A )*inv(U) or inv(L)*sub( A )*inv(L**T); = 2 or 3:
compute U*sub( A )*U**T or L**T*sub( A )*L.
UPLO (global input) CHARACTER
= 'U': Upper triangle of sub( A ) is stored and sub( B ) is factored as U**T*U; =
'L': Lower triangle of sub( A ) is stored and sub( B ) is factored as L*L**T.
N (global input) INTEGER
The order of the matrices sub( A ) and sub( B ). N >= 0.
A (local input/local output) DOUBLE PRECISION pointer into the
local memory to an array of dimension (LLD_A, LOCc(JA+N-1)). On entry, this array
contains the local pieces of the N-by-N symmetric distributed matrix sub( A ). If
UPLO = 'U', the leading N-by-N upper triangular part of sub( A ) contains the
upper triangular part of the matrix, and its strictly lower triangular part is not
referenced. If UPLO = 'L', the leading N-by-N lower triangular part of sub( A )
contains the lower triangular part of the matrix, and its strictly upper
triangular part is not referenced.
On exit, if INFO = 0, the transformed matrix, stored in the same format as sub( A
).
IA (global input) INTEGER
A's global row index, which points to the beginning of the submatrix which is to
be operated on.
JA (global input) INTEGER
A's global column index, which points to the beginning of the submatrix which is
to be operated on.
DESCA (global and local input) INTEGER array of dimension DLEN_.
The array descriptor for the distributed matrix A.
B (local input) DOUBLE PRECISION pointer into the local memory
to an array of dimension (LLD_B, LOCc(JB+N-1)). On entry, this array contains the
local pieces of the triangular factor from the Cholesky factorization of sub( B ),
as returned by PDPOTRF.
IB (global input) INTEGER
B's global row index, which points to the beginning of the submatrix which is to
be operated on.
JB (global input) INTEGER
B's global column index, which points to the beginning of the submatrix which is
to be operated on.
DESCB (global and local input) INTEGER array of dimension DLEN_.
The array descriptor for the distributed matrix B.
SCALE (global output) DOUBLE PRECISION
Amount by which the eigenvalues should be scaled to compensate for the scaling
performed in this routine. At present, SCALE is always returned as 1.0, it is
returned here to allow for future enhancement.
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.