PSTRTRS(l)
β¨ PSTRTRS β¨ β the tea on this LAPACK auxiliary routine
okay so bestie, we're in the LAPACK manual, version 1.5, and today's main character is PSTRTRS(l) π
she's an auxiliary routine and she's here to solve a triangular system for you. no cap.
πΈ NAME πΈ
PSTRTRS β solve a triangular system of the form sub( A ) * X = sub( B ) or sub( A )**T * X = sub( B ),
π SYNOPSIS π
SUBROUTINE PSTRTRS( UPLO, TRANS, DIAG, N, NRHS, A, IA, JA, DESCA, B, IB,
JB, DESCB, INFO )
CHARACTER DIAG, TRANS, UPLO
INTEGER IA, IB, INFO, JA, JB, N, NRHS
INTEGER DESCA( * ), DESCB( * )
REAL A( * ), B( * )
π¦ PURPOSE π¦
PSTRTRS solves a triangular system of the form
sub( A ) * X = sub( B ) or sub( A )**T * X = sub( B ),
where sub( A ) denotes A(IA:IA+N-1,JA:JA+N-1) and is a triangular distributed matrix of order N, and B(IB:IB+N-1,JB:JB+NRHS-1) is an N-by-NRHS distributed matrix denoted by sub( B ). A check is made to verify that sub( A ) is nonsingular. π
Notes π§
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".
DTYPE_A(global) β stored inDESCA( DTYPE_ )β the descriptor type. In this case,DTYPE_A = 1.CTXT_A(global) β stored inDESCA( CTXT_ )β the BLACS context handle, indicating the BLACS process grid A is distributed over. The context itself is global, but the handle (the integer value) may vary.M_A(global) β stored inDESCA( M_ )β the number of rows in the global array A.N_A(global) β stored inDESCA( N_ )β the number of columns in the global array A.MB_A(global) β stored inDESCA( MB_ )β the blocking factor used to distribute the rows of the array.NB_A(global) β stored inDESCA( NB_ )β the blocking factor used to distribute the columns of the array.RSRC_A(global) β stored inDESCA( RSRC_ )β the process row over which the first row of the array A is distributed.CSRC_A(global) β stored inDESCA( CSRC_ )β the process column over which the first column of the array A is distributed.LLD_A(local) β stored inDESCA( LLD_ )β 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
π ARGUMENTS π
UPLO(global input)CHARACTERβ= 'U':sub( A )is upper triangular;= 'L':sub( A )is lower triangular.TRANS(global input)CHARACTERβ specifies the form of the system of equations:= 'N': Solvesub( A ) * X = sub( B )(No transpose)= 'T': Solvesub( A )**T * X = sub( B )(Transpose)= 'C': Solvesub( A )**T * X = sub( B )(Transpose)
DIAG(global input)CHARACTERβ= 'N':sub( A )is non-unit triangular;= 'U':sub( A )is unit triangular.N(global input)INTEGERβ the number of rows and columns to be operated on, i.e. the order of the distributed submatrixsub( A ).N >= 0.NRHS(global input)INTEGERβ the number of right hand sides, i.e., the number of columns of the distributed matrixsub( B ).NRHS >= 0.A(local input)REALpointer into the local memory to an array of dimension(LLD_A,LOCc(JA+N-1) ). This array contains the local pieces of the distributed triangular matrixsub( A ). IfUPLO = 'U', the leadingN-by-Nupper triangular part ofsub( A )contains the upper triangular matrix, and the strictly lower triangular part ofsub( A )is not referenced. IfUPLO = 'L', the leadingN-by-Nlower triangular part ofsub( A )contains the lower triangular matrix, and the strictly upper triangular part ofsub( A )is not referenced. IfDIAG = 'U', the diagonal elements ofsub( A )are also not referenced and are assumed to be1.IA(global input)INTEGERβ the row index in the global arrayAindicating the first row ofsub( A ).JA(global input)INTEGERβ the column index in the global arrayAindicating the first column ofsub( A ).DESCA(global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixA.B(local input/local output)REALpointer into the local memory to an array of dimension(LLD_B,LOCc(JB+NRHS-1)). On entry, this array contains the local pieces of the right hand side distributed matrixsub( B ). On exit, ifINFO = 0,sub( B )is overwritten by the solution matrixX.IB(global input)INTEGERβ the row index in the global arrayBindicating the first row ofsub( B ).JB(global input)INTEGERβ the column index in the global arrayBindicating the first column ofsub( B ).DESCB(global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixB.INFO(output)INTEGERβ= 0: successful exit< 0: If thei-th argument is an array and thej-entry had an illegal value, thenINFO = -(i*100+j), if thei-th argument is a scalar and had an illegal value, thenINFO = -i.> 0: IfINFO = i, thei-th diagonal element ofsub( A )is zero, indicating that the submatrix is singular and the solutionsXhave not been computed.
π«Ά heads up bestie: thatINFO > 0case is the "uh oh, singular" one β the solutionsXgenuinely have not been computed. not a drill. π
and that's the whole page, no skips, no cuts, every single flag accounted for β¨
this lil icon of a manpage is from LAPACK version 1.5, dated 12 May 1997 β yeah she's vintage, she's archival, she's still serving π sending u off with that energy, mwah ππ¦
π¦ where this page comes from
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